somnath sinha

@christuniversity.in

Assistant Professor, Department of Computer science
CHRIST University

somnath sinha


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https://researchid.co/somnathsinha

EDUCATION

MCA, PhD

RESEARCH INTERESTS

MANET, Security in Internet Integrated WSN, EH-WSN
64

Scopus Publications

689

Scholar Citations

15

Scholar h-index

26

Scholar i10-index

Scopus Publications

  • Infrared Eye Tracking: Unlocking Communication Pathways for Coma Patients
    Pranith Bhaskar P, Somnath Sinha, Binayak Dutta
    Proceedings of the 2026 6th International Conference on Image Processing and Capsule Networks Icipcn 2026, 2026
    Eye tracking technologies have emerged as a groundbreaking technology in assessing and facilitating communication in patients with disorders of consciousness, including patients in a coma. Traditional methods of diagnosis rely on behaviour responses, which are non-existent or very minimal, thereby resulting in misdiagnosis or delayed intervention. Eye tracking provides an objective, non-intrusive means to measure ocular movement, visual interest, and response patterns, which may enable clinicians to make inferences regarding cognitive processing and residual consciousness. Furthermore, these devices provide a window of opportunity for the creation of minimum communication, enabling patients to communicate needs or preferences utilizing gaze-supported interfaces. This paper discusses current eye tracking systems, their application in the clinical field, and the prospect of applying them in the integration of these devices into conventional diagnostic and therapeutic routines. The findings stress that eye tracking not only enhances diagnostic accuracy but offers a platform for patient-centred communication, which eventually contributes to improved clinical outcomes and quality of life. Of the methods discussed (EOG, VOG, and infrared), infrared eye-tracking system had the best overall balance of spatial precision, responsiveness, and patient comfort and thus functioned best for diagnostic detection and communication based on gaze in this population.
  • Systematic Analysis of Cybersecurity Attacks and Evaluation of Mitigation Strategies
    Ishan Chowdhury, Somnath Sinha, Binayak Dutta
    2026 IEEE 15th International Conference on Communication Systems and Network Technologies Csnt 2026, 2026
    There are established frameworks in place to address the problem, such as OWASP, MITRE ATT&CK, but web applications and critical infrastructure keep suffering from a rapidly growing and increasingly complex threat. This paper shows a systematic empirical analysis on 14,133 records in total of 63 security categories, and it shows that the most frequent attack vectors are Hardware Interface Exploitation (161 cases), Wireless Attacks Advanced (95 cases), PLC Attacks (26 cases), Use-After-Free (22 cases), and Stack Overflow (20 cases). Statistical validation through chi-square testing (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\chi^{2}=756580,\ p&lt;0.001$</tex>) indicates non-random attack-category relationships, in which uniform one-size-fits-all defenses are rejected. To fill in gaps in understanding, we propose two novel frameworks: the Category-Adaptive Defense Framework (CADF) that produces frequency-weighted, category-specific mitigation playbooks based upon empirical distributions, and Multi-Phase Intelligence (MPI), a closed-loop adaptive defense architecture with phases of prediction, adaptation, and response. Backtesting of the entire dataset shows efficiency improvements of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{4 0 - 7 3 \%}$</tex> over static controls for smaller and medium-sized businesses (SMEs) where CADF achieves a playbook coverage of 62 % vs 28 % in static OWASP controls and MPI reduces dwell time by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{7 3 \%}$</tex> (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{4 7}$</tex> to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 3}$</tex> days, mean dwell time).
  • A Hybrid Intrusion Detection System for detecting Cross-layer DoS attacks in IoT
    Aditi Paul, Somnath Sinha, Saumya Mishra
    Wireless Personal Communications, 2025
  • Comparative Performance Evaluation of GEO, MEO, and LEO Satellite Networks under Traffic Attacks
    Somnath Sinha, Austin C Sajan, Binayak Dutta
    2025 17th IEEE International Conference on Computational Intelligence and Communication Networks Cicn 2025, 2025
    This paper presents a comparative evaluation of geostationary (GEO), medium-earth orbit (MEO), and low-earth orbit (LEO) satellite constellations under realistic traffic attack models. We use OMNeT++ v6.1 with the INET-4.5 framework for simulation and Python for analysis. Key performance metrics include end-to-end latency, throughput, packet delivery ratio (PDR), and resource utilization measured under normal and attack conditions. Our results indicate that MEO yields the highest throughput and resource utilization, while LEO offers the lowest latency. We provide a clear description of the simulation conditions, attack models, and statistical methods used to evaluate resilience under degraded operation.
  • Reducing Delay and Network Load through Adaptive Threshold-Based Rate Control in IoT Systems
    Pushpendra Singh, Somnath Sinha, Binayak Dutta
    2025 1st International Conference on Advancement in Futuristic Technologies Icaft 2025, 2025
  • A Machine Learning-Based Cross-Layer DoS Attack Detection Technique for IoT
    Aditi Paul, Shirashti Chaudhary, Somnath Sinha
    Lecture Notes in Networks and Systems, 2025
  • Comparative Analysis of Noise Generated in BGV Homomorphic Encryption: Lattigo vs FHEgen Parameters
    Jethro Jarvis Roy Jyrwa, Somnath Sinha, Binayak Dutta
    4th International Conference on Automation Computing and Renewable Systems Icacrs 2025 Proceedings, 2025
    Post-quantum cryptography has emerged as a critical field following advances in quantum computing that threaten classical encryption schemes such as RSA and ECC. Fully Homomorphic Encryption (FHE), particularly the Brakerski–Gentry– Vaikuntanathan (BGV) scheme based on the Ring Learning with Errors (RLWE) problem, provides a promising solution for secure computations on encrypted data. A fundamental challenge in BGV implementations is the growth of noise during homomorphic operations, which must remain below a decryption threshold to ensure correctness. This study presents a comparative analysis of noise generation in BGV implementations using two distinct parameter selection approaches: Lattigo’s pre-validated generic parameters and FHEgen’s automatically generated application-specific parameters. Through empirical measurements using Lattigo v6.1.1, we evaluated five parameter sets across initial noise after encryption, noise expansion during homomorphic multiplication, and overall noise growth patterns. Our results demonstrate that Lattigo N13 achieves marginally lower post-multiplication noise (0.0587 log<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> bits, or 4.15% lower in magnitude), though FHEgen achieves substantially higher verified security (210 bits vs. 50–60 bits). However, Lattigo’s range of pre-validated parameters (LogN = 12 to LogN = 15) offers greater flexibility for varying computational depths. We conclude that the choice between parameter selection approaches depends on application requirements: FHEgen is preferable for well-defined computational needs with noise optimization priorities, while Lattigo is advantageous when flexibility and extensive validation are critical. This work provides practical insights for FHE practitioners in selecting parameters that balance security, noise management, and computational efficiency.
  • Analyzing the Role of LIME and SHAP in Explainable DoS Attack Detection for IoT Systems
    Aditi Paul, Sweety Kumari, Nipun R Navadia, Somnath Sinha
    4th International Conference on Automation Computing and Renewable Systems Icacrs 2025 Proceedings, 2025
    Explainable Artificial Intelligence (XAI) based tools such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) are extensively used in various detection and prediction approaches. These tools extract feature importance from the datasets and explain the contribution of the features (feature importance) towards detection /prediction output both locally and globally. In the current study a performance analysis is represented on the behaviour of LIME and SHAP explainability towards Denial-of-Service Attack detection in Internet of Things. There are numerous Black-box models including Machine Learning which show high detection accuracies in such case but the output is not interpretable by the security analyst most of the time. this drawback is overcome by introducing LIME and SHAP interpretability to the output of BlackBox model by analysing feature importance of the attack dataset towards detection accuracy. However, LIME and SHAPE has different behaviour towards model-interpretability. SHAP is powerful in global explanation where LIME works efficiently on local interpretation. We have shown that these two different tools perform on same detection accuracies of DoS attack using Machine learning model. A random forest classifier is first selected with high detection accuracy on a simulated DoS attack dataset and at the output SHAP and LIME are executed for achieving both local and global explainability. The comparison shows how SHAP and LIME show strength and weakness in explaining model’s behaviour both locally and globally.
  • Explainable Intrusion Detection System for Internet of Things-explainability with reliability
    Aditi Paul, Sweety Kumari, Nipun R Navadia, Somnath Sinha
    Proceedings of 5th International Conference on Soft Computing for Security Applications Icscsa 2025, 2025
    Explainable Artificial Intelligence (XAI) based Intrusion Detection System (IDS) (X-IDS) has transformed the traditional IDS into interpretable and transparent system with the goal of providing interpretable justification for IDS models. XAI is now being used to extract more appropriate features for specific cyber-attacks. The black-box model of ML based IDS is not capable of giving reason for false positive to the cyber defense personnel. XAI tools reduces this abstraction by locally interpreting the model’s behaviour at some datapoints along with global interpretability. This article proposes an explainable IDS by using XAI tools. We used SHAP (SHapley Additive exPlanations) to identify the variations in feature importance of selected ML based IDSs and explain the variations of their detection accuracies. Also, we have shown that with same dataset, feature importance varies differently with different ML models. This leads us to the conclusion that specific set of features are required for specific ML models while other can be discarded. The explainability proposed in this study also help to select less set of features to overcome time of execution and cost.
  • Reinforcement Learning for Quantum Phase Estimation Using Deep Q-Network
    Sundharess B, Vikash Krishna R, Gopika SS, Somnath Sinha, Cecil Donald, Aditi Paul
    2025 IEEE Madhya Pradesh Section Conference Mpcon 2025, 2025
    Quantum Phase Estimation(QPE) is a fundamental quantum algorithm that is used for the estimation of eigenphases of unitary operators. Its main goal is to determine the phase associated with each eigenstate. Usually, it take steps such as prepare quantum states, apply controlled unitaries, inverse quantum fourier transformation, and measurement. This study uses the OpenAI Gym framework to build a customized QPE environment. Here, the phase of a randomly generated target unitary operator is estimated using a quantum circuit. Through interaction with this environment, the DQN agent learns the best course of action to increase phase estimation accuracy. It exhibits more flexibility in noisy environments and reduces estimating mistakes. With its insights and approaches for further study in this area, this effort represents a significant advancement in the use of Deep Reinforcement Learning in quantum computing. A Comparative analysis between IBM Quantum(ibm kyiv) and the Aer Simulator on the OpenAI Gym environment using RL agents has been done.
  • MMOF: A Multi-Metric Objective Function for Congestion Detection Under Varying Transmission Ranges in RPL-Based WSN
    Vikas Srivastava, Aditi Paul, Somnath Sinha
    SN Computer Science, 2024
  • Revolutionizing healthcare: The emergence and impact of metaverse technologies
    Neha Singhal, S. B. Goyal, Somnath Sinha, Annu Sharma, Suresh Kalaimani, Bhanu K. N.
    Examining the Metaverse in Healthcare Opportunities Challenges and Future Directions, 2024
  • Unveiling the Dynamics: A Performance Analysis of RPL under Congestion in IoT Network
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • A Novel Two-Step Bayesian Hyperparameter Optimization Strategy for DoS Attack Detection in IoT
    Somnath Sinha, Shirasthi Choudhary, Aditi Paul
    2nd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2024, 2024
  • AI Based Seamless Vehicle License Plate Recognition Using Raspberry Pi Technology
    Alvis Abreo, Mayur C, Somnath Sinha
    Proceedings 2024 13th IEEE International Conference on Communication Systems and Network Technologies Csnt 2024, 2024
  • Traffic Optimization and Route Detection Based on Air Quality and Pollution Level
    Bidura Sarkar, Debanjana Mukherjee, Jubaraj Mukherjee, Somnath Sinha
    Proceedings 2024 13th IEEE International Conference on Communication Systems and Network Technologies Csnt 2024, 2024
  • Enhancing Movie Genre Classification through Emotional Intensity Detection: An Improvised Machine Learning Approach
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Enhancing Mobility: A Smart Cane with Integrated Navigation System and Voice-Assisted Guidance for the Visually Impaired
    Muktha D S, G Niveditha, Nikhil Anthony Pinto, Somnath Sinha
    Proceedings 2024 13th IEEE International Conference on Communication Systems and Network Technologies Csnt 2024, 2024
  • Overview of Cyber Security in Intelligent and Sustainable Manufacturing
    Aditi Paul, Somnath Sinha, Parveen Kumar, Shirasthi Choudhary, Krishna Samdani, Saumya Mishra
    Handbook of Intelligent and Sustainable Manufacturing Tools Principles and Strategies, 2024
  • Received signal strength-based location verification technique in Wireless Sensor Network using Spline curve
    Aditi Paul, Somnath Sinha
    Journal of Supercomputing, 2023
  • Denial of Service Attacks in the Internet of Things
    Aditi Paul, S. Sinha
    Internet of Things in Modern Computing Theory and Applications, 2023
  • Prior Cardiovascular Disease Detection using Machine Learning Algorithms in Fog Computing
    Suresh K, Subramani R, Nismon Rio, Cecil Donald, Somnath Sinha, Sandhya Soman
    2023 IEEE 3rd Mysore Sub Section International Conference Mysurucon 2023, 2023
  • An Intrusion Detection and Prevention System against DOS Attacks for Internet-Integrated WSN
    B.J Santhosh Kumar, Somnath Sinha
    7th International Conference on Communication and Electronics Systems Icces 2022 Proceedings, 2022
  • Improved RSSI Based 3D Localization for Indoor Wireless Sensor Network
    Sookshma M Kumar, Somnath Sinha
    4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022
  • Distributed Denial of Service Attack Detection and Prevention in Local Area Network
    Somnath Sinha, N. Mahadev Prasad
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • A Novel Received Signal Power based Underwater Positioning System using Acoustic Factor
    K Lavyashree, Somnath Sinha
    Proceedings of 2022 International Conference on Intelligent Innovations in Engineering and Technology Iciiet 2022, 2022
  • Path Generation Protocol to Improve Lifetime of WSN
    Santosh Anand, Somnath Sinha
    Procedia Computer Science, 2022
  • Rank Based Adaptive Algorithm for Route Generation in Multi Source Energy Harvesting Wireless Sensor Network
    Somnath Sinha, V Lakshmipriya
    IEEE International Conference on Data Science and Information System Icdsis 2022, 2022
  • RSSI Based Improved Weighted Centroid Localization Method Using Indirect Transmission and Error Estimation
    S Vinay Prasad, Somnath Sinha
    IEEE International Conference on Data Science and Information System Icdsis 2022, 2022
  • Offline RSSI based Object Detection in 802.11
    Akash K H, Akhil K M, Somnath Sinha
    4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022
  • RSSI Based Device Monitoring with IEEE 802.15 in Wireless Sensor Network
    Rahul N Biju, K M Akhil, Somnath Sinha
    4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022
  • Activity Oriented Malicious Node Identification for Packet Drop Attack in WSN
    Shwetha B, Brunda I B, Somnath Sinha
    3rd International Conference on Electronics and Sustainable Communication Systems Icesc 2022 Proceedings, 2022
  • Machine Learning based Robust Techniques to Detect DDoS Attacks in WSN
    Chandan, Sachin Kumar, Somnath Sinha
    Proceedings of 2022 International Conference on Intelligent Innovations in Engineering and Technology Iciiet 2022, 2022
  • K-Nearest Neighbor (KNN) Algorithm based Dreck Management System
    R Harshitha, K M Akhil, Somnath Sinha
    7th International Conference on Communication and Electronics Systems Icces 2022 Proceedings, 2022
  • Energy optimization in multiple sensors based WSN
    Abhishek P Jain, Dennis Kumar M, Nair Amarnath, Allan A Crown, Somnath Sinha
    2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2022, 2022
  • Network layer DoS Attack on IoT System and location identification of the attacker
    Somnath Sinha, Kruthi. G
    Proceedings of the 3rd International Conference on Inventive Research in Computing Applications Icirca 2021, 2021
  • Range based improved localization scheme in densely populated wireless sensor network
    Somnath Sinha, Rajeshwari P M
    Proceedings of the 6th International Conference on Communication and Electronics Systems Icces 2021, 2021
  • Impact of DoS attack in IoT system and identifying the attacker location for interference attacks
    Somnath Sinha, Sindhu. B
    Proceedings of the 6th International Conference on Communication and Electronics Systems Icces 2021, 2021
  • RSSI based improved weighted centroid localization algorithm in WSN
    Somnath Sinha, S Ashwini
    2021 2nd International Conference for Emerging Technology Incet 2021, 2021
  • Stack based location identification of malicious node in RPL attack using average power consumption
    Somnath Sinha, D P Deepika
    2021 2nd International Conference for Emerging Technology Incet 2021, 2021
  • RSSI based positioning system for WSN with improved accuracy
    K M Akhil, K Seethalakshmi, Somnath Sinha
    2021 3rd International Conference on Signal Processing and Communication Icpsc 2021, 2021
  • A novel neuro-fuzzy-based localisation system for WSN using node proximity
    Somnath Sinha, Aditi Paul
    International Journal of Internet Protocol Technology, 2021
  • Monitoring Login Shell Alert Notification Application
    B.J Santhosh Kumar, Somnath Sinha
    2021 5th International Conference on Electrical Electronics Communication Computer Technologies and Optimization Techniques Iceeccot 2021 Proceedings, 2021
  • A Neuro-Fuzzy based IDS for Internet-Integrated WSN
    Aditi Paul, Somnath Sinha, Rabindra Nath Shaw, Ankush Ghosh
    Studies in Computational Intelligence, 2021
  • Neuro-Fuzzy Based Intrusion Detection System for Wireless Sensor Network
    Somnath Sinha, Aditi Paul
    Wireless Personal Communications, 2020
  • Hybrid IoT based Hazard Detection System for Buildings
    B. L. Nisarga, S. Manishankar, Somnath Sinha, Sindhu Shekar
    Proceedings of the International Conference on Electronics and Sustainable Communication Systems Icesc 2020, 2020
  • Self-Localization in Large Scale Wireless Sensor Network Using Machine Learning
    Akhil K M, Somnath Sinha
    International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2020, 2020
  • Cloud based intelligent home hazed detection system
    Sindhu Shekar
    Journal of Advanced Research in Dynamical and Control Systems, 2020
  • An efficient fault tolerance mechanism using TCSA to ensure reliabilty in cloud
    Abhilash R Prasad, S. Anand, Somnath Sinha
    International Journal of Engineering and Advanced Technology, 2019
  • A hybrid algorithm for balancing load in wireless sensor network
    Midhu Mathew, , Santosh anand, Somnath sinha, , and
    International Journal of Recent Technology and Engineering, 2019
  • Identifying faulty nodes in wireless sensor network to enhance reliability
    Arun P Prabhan, , Santosh Anand, Somnath Sinha, , and
    International Journal of Recent Technology and Engineering, 2019
  • A customised approach for reducing energy consumption in wireless sensor network
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Flooding attack in wireless sensor network-analysis and prevention
    International Journal of Engineering and Advanced Technology, 2019
  • A research on the malicious node detection in wireless sensor network
    International Journal of Engineering and Advanced Technology, 2019
  • An efficient scheduling algorithm to improve the use of resources in cloud
    International Journal of Engineering and Advanced Technology, 2019
  • A performance booster for load balancing in cloud computing with my load balancer techinique
    International Journal of Engineering and Advanced Technology, 2019
  • A soft computing approach to analyse aodv routing protocol
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • RSSI-based localization system in wireless sensor network
    International Journal of Engineering and Advanced Technology, 2019
  • Black hole attack in mobile ad hoc network – analysis and detection
    International Journal of Recent Technology and Engineering, 2019
  • 24X7 Lifeline Chip for Soldiers
    Santosh Anand, Somnath Sinha
    Procedia Computer Science, 2019
  • Performance analysis of balancing load using ACO technique in cloud environment
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • Performance analysis of received signal power-based Sybil detection in MANET using spline curve
    Aditi Paul, Somnath Sinha
    International Journal of Mobile Network Design and Innovation, 2017
  • The Sybil attack in Mobile Adhoc Network: Analysis and detection
    S. Sinha, S. Pal, A. Paul
    Iet Conference Publications, 2013

RECENT SCHOLAR PUBLICATIONS

  • Systematic Analysis of Cybersecurity Attacks and Evaluation of Mitigation Strategies
    I Chowdhury, S Sinha, B Dutta
    2026 IEEE 15th International Conference on Communication Systems and Network … , 2026
    2026
  • Synergistic Defense: An Intelligent IPS Framework Integrating Supervised Learning with Cyber Deception for Botnet Neutralization
    D Chandiramani, S Sinha, B Dutta
    2026 IEEE Madhya Pradesh Section Conference (MPCON), 585-589 , 2026
    2026
  • Enhancement Of Intrusion Detection System In Explainable Artificial Intelligence
    PM Anupama, S Sinha
    INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 1536-1556 , 2026
    2026
  • Infrared Eye Tracking: Unlocking Communication Pathways for Coma Patients
    S Sinha, B Dutta
    2026 6th International Conference on Image Processing and Capsule Networks … , 2026
    2026
  • Comparative Performance Evaluation of GEO, MEO, and LEO Satellite Networks Under Traffic Attacks
    S Sinha, AC Sajan, B Dutta
    2025 IEEE 17th International Conference on Computational Intelligence and … , 2025
    2025
  • Reducing Delay and Network Load through Adaptive Threshold-Based Rate Control in IoT Systems
    P Singh, S Sinha, B Dutta
    2025 1st International Conference on Advancement in Futuristic Technologies … , 2025
    2025
  • Comparative Analysis of Noise Generated in BGV Homomorphic Encryption: Lattigo vs FHEgen Parameters
    JJR Jyrwa, S Sinha, B Dutta
    2025 4th International Conference on Automation, Computing and Renewable … , 2025
    2025
  • Analyzing the Role of LIME and SHAP in Explainable DoS Attack Detection for IoT Systems
    A Paul, S Kumari, NR Navadia, S Sinha
    2025 4th International Conference on Automation, Computing and Renewable … , 2025
    2025
  • Reinforcement Learning for Quantum Phase Estimation Using Deep Q-Network
    B Sundharess, SS Gopika
    2025 IEEE Madhya Pradesh Section Conference (MPCON), 316-321 , 2025
    2025
  • Explainable Intrusion Detection System for Internet of Things-explainability with reliability
    A Paul, S Kumari, NR Navadia, S Sinha
    2025 5th International Conference on Soft Computing for Security … , 2025
    2025
  • A Hybrid Intrusion Detection System for detecting Cross-layer DoS attacks in IoT
    A Paul, S Sinha, S Mishra
    Wireless Personal Communications, 1-24 , 2025
    2025
    Citations: 3
  • 95 Overview of Cyber Security in Intelligent and Sustainable Manufacturing
    A Paul, S Sinha, P Kumar, S Choudhary, K Samdani, S Mishra
    Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles … , 2025
    2025
  • MMOF: A Multi-Metric Objective Function for Congestion Detection Under Varying Transmission Ranges in RPL-Based WSN
    V Srivastava, A Paul, S Sinha
    SN Computer Science 5 (8), 1112 , 2024
    2024
    Citations: 3
  • Traffic Optimization and Route Detection Based on Air Quality and Pollution Level
    B Sarkar, D Mukherjee, J Mukherjee, S Sinha
    2024 IEEE 13th International Conference on Communication Systems and Network … , 2024
    2024
    Citations: 4
  • Enhancing Mobility: A Smart Cane with Integrated Navigation System and Voice-Assisted Guidance for the Visually Impaired
    M D S, G Niveditha, NA Pinto, S Sinha
    2024 IEEE 13th International Conference on Communication Systems and Network … , 2024
    2024
    Citations: 11
  • Overview of Cyber Security in Intelligent and Sustainable Manufacturing
    A Paul, S Sinha, P Kumar, S Choudhary, K Samdani, S Mishra
    Handbook of Intelligent and Sustainable Manufacturing, 95-118 , 2024
    2024
    Citations: 4
  • Unveiling the Dynamics: A Performance Analysis of RPL under Congestion in IoT Network.
    V Srivastava, A Paul, S Sinha
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • Enhancing Movie Genre Classification through Emotional Intensity Detection: An Improvised Machine Learning Approach.
    M Mehta, S Sinha, N Singhal
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
  • AI based seamless vehicle license plate recognition using Raspberry Pi technology
    A Abreo, C Mayur, S Sinha
    2024 IEEE 13th International Conference on Communication Systems and Network … , 2024
    2024
    Citations: 8
  • A Machine Learning-Based Cross-Layer DoS Attack Detection Technique for IoT
    A Paul, S Chaudhary, S Sinha
    International Conference on Emerging Trends and Technologies on Intelligent … , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Neuro-fuzzy based intrusion detection system for wireless sensor network
    S Sinha, A Paul
    Wireless personal communications 114 (1), 835-851 , 2020
    2020
    Citations: 67
  • Self-localization in large scale wireless sensor network using machine learning
    KM Akhil, S Sinha
    2020 International Conference on Emerging Trends in Information Technology … , 2020
    2020
    Citations: 57
  • Flooding attack in wireless sensor network-analysis and prevention
    HN Lakshmi, S Anand, S Sinha
    International Journal of Engineering and Advanced Technology 8 (5), 1792-1796 , 2019
    2019
    Citations: 38
  • A neuro-fuzzy based IDS for internet-integrated WSN
    A Paul, S Sinha, RN Shaw, A Ghosh
    Computationally intelligent systems and their applications, 71-86 , 2021
    2021
    Citations: 32
  • Computer graphics
    S Sinha, A Paul
    Alpha Science International, Limited , 2018
    2018
    Citations: 29
  • RSSI-based localization system in wireless sensor network
    PC Anusha, S Anand, S Sinha
    International Journal of Engineering and Advanced Technology (IJEAT) 8 (5) , 2019
    2019
    Citations: 26
  • Rssi based improved weighted centroid localization algorithm in wsn
    S Sinha, S Ashwini
    2021 2nd International Conference for Emerging Technology (INCET), 1-4 , 2021
    2021
    Citations: 25
  • The sybil attack in Mobile Adhoc Network: Analysis and detection
    S Sinha, A Paul, S Pal
    Third International Conference on Computational Intelligence and Information … , 2013
    2013
    Citations: 25
  • An efficient method to detect sybil attack using trust based model
    A Paul, S Sinha, S Pal
    Proc. of Int. Conf. on Advances in Computer Science, AETACS, Elsevier , 2013
    2013
    Citations: 20
  • RSSI based positioning system for WSN with improved accuracy
    KM Akhil, K Seethalakshmi, S Sinha
    2021 3rd International Conference on Signal Processing and Communication … , 2021
    2021
    Citations: 18
  • Impact of DoS attack in IoT system and identifying the attacker location for interference attacks
    S Sinha
    2021 6th international conference on communication and electronics systems … , 2021
    2021
    Citations: 17
  • An educational based intelligent student stress prediction using ml
    S Sinha, R Sriram
    2022 3rd International Conference for Emerging Technology (INCET), 1-7 , 2022
    2022
    Citations: 16
  • Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability
    SS Arun P Prabhan, Santosh Anand
    International Journal of Recent Technology and Engineering (IJRTE) 8 (Issue-2) , 2019
    2019
    Citations: 16
  • An augmented reality assisted order picking system using IoT
    MK Nagda, S Sinha, E Poovammal
    International Journal of Recent Technology and Engineering 8 (3), 744-749 , 2019
    2019
    Citations: 16
  • A customised approach for reducing energy consumption in wireless sensor network
    KM Krishnapriya, S Anand, S Sinha
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 15
  • A research on the malicious node detection in wireless sensor network
    S Nagarjun, S Anand, S Sinha
    International Journal of Engineering and Advanced Technology, 2249-8958 , 2019
    2019
    Citations: 15
  • An intrusion detection and prevention system against DOS attacks for internet-integrated WSN
    BJS Kumar, S Sinha
    2022 7th International Conference on Communication and Electronics Systems … , 2022
    2022
    Citations: 14
  • Performance analysis of received signal power-based Sybil detection in MANET using spline curve
    A Paul, S Sinha
    International Journal of Mobile Network Design and Innovation 7 (3-4), 222-232 , 2017
    2017
    Citations: 14
  • Network layer DoS Attack on IoT System and location identification of the attacker
    S Sinha
    2021 Third International Conference on Inventive Research in Computing … , 2021
    2021
    Citations: 13
  • A novel neuro-fuzzy-based localisation system for WSN using node proximity
    AP Somnath Sinha
    Int. J. Internet Protocol Technology, 14 (1), 49-59 , 2021
    2021
    Citations: 13