Dr. Suresh kumar Vivekananda Pandian

Scopus Publications

Implementation of a novel secured authentication protocol for cyber security applications
V. Suresh Kumar, Osamah Ibrahim Khalaf, Radha Raman Chandan, Qusay Bsoul, Shashi Kant Gupta, Firas Zawaideh, Deema Mohammed Alsekait, Diaa Salama AbdElminaam
Scientific Reports, 2024
Robust verification protocols are crucial for maintaining the security and reliability of sensitive information due to the increasing complexity of cyber-attacks. This paper introduces a novel 5G Secure Handover Protocol aimed at addressing security and effectiveness issues encountered in existing systems. The proposed protocol is robust against various attacks, including de-synchronization, replay, man-in-the-middle (MITM), denial of services (DoS), and jamming, ensures perfect forward key secrecy, safeguarding communication confidentiality. The proposed protocol utilizes a combination of spiking neural network and fuzzy logic (SNN-FL) techniques that must choose the goal cell as carefully as possible before initiating the transfer process. By combining fuzzy logic and spiking neural networks to reduce handover latency and thwart several types of cyberattacks, the proposed 5G Secure Handover Protocol improves security. Extensive simulations show its efficacy and emphasize its potential for safe communication in large-scale cybersecurity applications. The paper presents a novel secure authentication protocol that significantly reduces handover delays and improves efficiency. Simulations show its resilience against common security threats, protecting sensitive information and maintaining secure communication channels. The protocol, with low communication expenses, complex spatial, and latency for changeover verification, is ideal for large-scale cybersecurity applications, contributing to the development of secure digital authentication mechanisms.
Investigation on Constraints and Recommended Context Aware Elicitation for IoT Runtime Workflow
International Journal of Intelligent Systems and Applications in Engineering, 2024
Understanding integration issues in intelligent transportation systems with IoT platforms, cloud computing, and connected vehicles
Rupesh Shukla, Anish Kumar Choudhary, V. Suresh Kumar, Priyanka Tyagi, A. Mutharasan, Sumita Kumar, Shashi Kant Gupta
Journal of Autonomous Intelligence, 2024
<p>The fast improvements in information and communication technology have altered the transportation business, resulting in intelligent transportation systems (ITS) that aim to improve transportation network safety, efficiency, and sustainability. Cloud computing, networked automobiles, and IoT platforms are driving this shift. Infrastructure for current civilization must include transport. The effectiveness of transport infrastructure is vital for all countries’ individual mobility, trade, and economic development. Traffic congestion, fuel price increases, and CO<sub>2</sub> emissions have all increased in recent years, posing problems for modern civilization. It is crucial to improve transportation efficiency and safety. To develop a sustainable, intelligent transportation system, it is necessary to seamlessly integrate and interoperate with cutting-edge technologies like linked cars, the Internet of Things (IoT), and cloud computing. To respond to difficulties facing the transportation industry, which include rising fuel costs, high CO<sub>2</sub> emissions, expanding congestion in traffic, and greater dangers on the highway, integration concerns must be concluded.</p>
The 5G revolution: Tackling challenges in smart cities and intelligent transportation systems
Sunil Kumar Vohra, V. Suresh Kumar, Ramkumar Krishnamoorthy, Poornima Mahesh, Bhadrappa Haralayya, Nupur Soni, Shashi Kant Gupta
Journal of Autonomous Intelligence, 2024
<div><p>The use of cutting-edge technology and data systems to increase the effectiveness, safety, and environmental responsibility of transport networks is known as intelligent transportation systems (ITS). In order to improve many elements of transportation, ITS incorporates a wide range of technologies, including sensors, communication networks, data analytics, and robots. By addressing the shortcomings of the current 4G network, the next mobile technology, 5G, challenges the electronic communication environment as it stands. By allowing a large number of concurrent connections and networks ubiquitous, even in high mobility scenarios or densely inhabited places, such Smart trains and smart cities (SC) are made possible by cutting-edge technology a new approach of becoming fully integrated. According to this strategy; 5G will enable the true Internet of Things (IoT) and its related automobiles on the World Wide Web (WWW). This conversation attempts to thoroughly explain how 5G wireless networks will impact urban smart transport networks, including semi-autonomous or self-driving cars, and automotive communication over the coming years, as well as any technical, economical, and regulatory issues.</p></div>
Detection of Lung Tumor using an efficient Quadratic Discriminant Analysis Model
Shashi Kant Gupta, V. Suresh Kumar, Alex Khang, Bramah Hazela, Nivethitha T, Bhadrappa Haralayya
Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
Deep Learning has paved a way for finding solutions to numerous problems across the globe. It is one of the techniques being used widely in all the application being used worldwide. Healthcare is a field where various new innovations need to be done in order to diagnosis various new health related issues. In today's modern era, the increase in new medications is required at the most. One such application is the diagnosis of lung tumor. Tumors are the cells that do not grow as normally as other cells in the body and leads to many other side effects and if diagnosed lately could also lead to death. Hence, to diagnosis it very early need to new medications and techniques are required. Numerous types are tumors are present and they tend to occur in various parts of a human body. Sometimes they are very easily identified whereas in some cases they get detected only after a long time. Detection of tumor in very early stages is curable and hence it is very important that it needs to be identified very early. In this research, we present a model that uses the Deep Learning approach in order to identify tumors in the lungs at extremely early stages. Through there are numerous researchers working on the same domain, we have enhanced our model with the use of the Quadratic Discriminant Analysis. To detect the tumor in lung, the model initially detects and segments the tumor cells. Once the cells are segmented, the model also classifies if the tumor cells are malignant or benign. The findings illustrate how the suggested model differs from the conventional approaches in a number of ways. The comparative research was carried out, and the data reveal that the model that was presented is better to the other in terms of the amount of time it needs, clocking in at an average of 2.16 seconds.
Fuzzy Network Based 6G Framework for Healthcare Applications
V. Suresh Kumar, NCA. Boovarahan, C. Parthasarathy, K. Umapathy, T. Dinesh Kumar, S. Omkumar
International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2023 Proceedings, 2023
The architecture of 6G technique can be exploited for combining various applications of network to provide consistent communication of data within the nodes. This technique offers excellent features and improved facilities for optimum operations. A fuzzy network based 6G framework is presented in order to provide Hospital to Home (H2H) services in place of ambulance services. In the coming days, vehicles will be manufactured in an intelligent way with help of AI. H2H will be promoted with an intelligent and smart vehicle having less amount of dependence on hospitals. Thus mobile hospital can track any sort of emergency environment and rush to the place for saving human beings. This approach can improve the lifestyle in these modern days. This study enunciates the evolution of 6G communication on modern lifestyles by means of H2H services. Hence patients can be treated well in advance before going to hospitals.
Crisis Vehicle with Smart Technology by using RSSI
Rajesh Khanna M, Suresh Kumar V
Ecs Transactions, 2022
Due to the increasing population growth, traffic congestion has increased everywhere. This causes huge delay in taking a patient to the hospital in an emergency vehicle (ambulance). To overcome this issue, our proposed idea utilizes RSSI (Received Signal Strength Identification). Node MCU acts as a receiver and the server acts as a transmitter. Node MCU has an inbuilt Wi-Fi (ESP-8266) module. It receives the signal and estimates its strength based on which ambulance arrival is predicted. This alerts the other vehicles and their speed is also controlled. In addition to this, RFID technology is used to change the adjacent traffic signals to red, thereby providing pathway to the emergency vehicle.
Security Concerns and Remedial Measures in MANETs Using Intrusion Detection
Suresh Kumar V, Rajesh Khanna M, Saravanan R
Ecs Transactions, 2022
In this research paper, we discussed the guaranteed reliable communication between nodes by constructing the black hole attack free route in MANET. To achieve this, a Hybrid Intrusion Detection System (HIDS) technique has been proposed to detect and remove the black hole attack nodes in the routing path. In MANETs, a novel cluster leader election process has been proposed. This election process is based on the node with maximum energy level. One of the important functionality is security in MANET. Due to many different attacks in the routing path, MANET becomes unsecure. Understanding the form of attacks is always the main step towards the secured communication between mobile nodes. Routing protocols are significant to guarantee proper functioning of the path from source to destination nodes. This preserves the security of MANET from attacks.
IoT and SVM-based Smart Irrigation System for Sustainable Water Usage
A. Sherly Alphonse, V. Suresh Kumar, N. Meenakshisundaram, Anvar Shathik J, S. Gomathi
Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022
The typical farming procedure requires a significant quantity of water use, which results in water waste. An automatic watering technology is desperately required to decrease the amount of water wasted during this time-consuming activity. Because of the advancements in machine learning (ML) and the Internet of Things (IoT), there is a significant benefit to developing a smart platform that does this work successfully and with minimum human intervention. It is recommended in this paper that landowners use a minimal amount of involvement in an IoT-enabled machine learning-trained recommender system for effective water consumption. The Internet of Things (IoT) sensors are put in the agricultural field to gather accurate information about the soil and environmental condition. Upon collection, the information is moved and saved in a fog system, which uses machine learning algorithms to analysis the information and provide watering recommendations towards the producer. A built-in relay switch has been included into this suggestion system in order to make it more resilient and adaptable. The results of the experiments show that the suggested system works admirably on both our own gathered information and also the agricultural information from NIT Raipur.
Natural Language Processing using Graph Neural Network for Text Classification
V. Suresh Kumar, Ahmed Alemran, Dimitrios A. Karras, Shashi Kant Gupta, Chandra Kumar Dixit, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
The boom of the technological area has given rise to numerous new applications that actually rule the entire world. Some of them mainly are the social media networks like the Twitter, Gmail and Facebook. Lot of text and content are received to millions of people across the work. It has become very essential to be surer whether the content is fake, or isit malicious or is it a really important content. To classify these contents, text classification techniques are being widely used across the globe. This has invented a new technical world of Natural Language Processing where it becomes very important to process the texts and images before we actually use them. In this paper, we have introduced the use of Graph Neural Networks (GNN) to classify the text according to their content. The use of GNN is done as they work well for 2D vectors and texts are in two dimensions. Computation of Self-Organizing Maps (SOM) are done to compute the nearest neighbors in the graphs and it calculates the actual distances between the neighbors. This process is used in classifying the text and performs better when compared to the existing techniques.
Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques
V. Suresh Kumar, Ahmed Alemran, Shashi Kant Gupta, Bramah Hazela, Chandra Kumar Dixit, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Drone Surveillance in Flood Affected Areas using Firefly Algorithm
V. Suresh Kumar, M. Sakthivel, Dimitrios A. Karras, Shashi Kant Gupta, Syam Machinathu Parambil Gangadharan, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Retraction:Internet of Things-Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning
V. Suresh Kumar, Lokaiah Pullagura, Nalli Vinaya Kumari, S. Pooja Nayak, B. Padmini Devi, Adnan Alharbi, Simon Atuah Asakipaam
Wireless Communications and Mobile Computing, 2022
Neuro-fuzzy function approximations using feedforward networks: An application of sigmoidal signal
V. Suresh Kumar, S. Vijaya Chandra, C. Susil Kumar
Proceedings 9th International Conference on Machine Learning and Applications Icmla 2010, 2010

Dr. Suresh kumar Vivekananda Pandian

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