Enhancing Image Security with Memristor Driven Fractional Chaotic Systems and Secretary Bird Optimization Sakthi Kumar B, Revathi R Journal of Machine and Computing, 2025 The extensive utilization of information and communication technologies nowadays enhances information accessibility and underscores the importance of information and data security. Image encryption is a prevalent technique for safeguarding medical data on public networks, serving a vital function in the healthcare sector. Due to their intricate dynamics, memristors are frequently employed in the creation of innovative chaotic systems that enhance the efficacy of chaos-based encryption techniques. In recent years, chaos-based encryption methods have surfaced as a viable method for safeguarding the confidentiality of transmitted images. Memristor-based Fractional-order chaotic systems (MFOCS) have garnered considerable interest because to their resilience and intricacy. Fractional-order chaotic systems (FOCS) exhibit more intricate dynamics than integer-order chaotic systems. Consequently, the exploration of fractional chaotic systems for the development of picture cryptosystems has gained popularity recently. This research introduces an innovative image encryption framework utilizing a memristor-based fractional chaotic map in conjunction with the Secretary Bird Optimization Algorithm (SBOA) to improve security and resilience against cryptographic threats. The suggested method utilizes the distinctive memory properties and high-dimensional chaotic dynamics of the memristor-based fractional system to produce unpredictable encryption keys. The SBOA is utilized to enhance essential encryption parameters, guaranteeing superior randomness and resilience against statistical and differential assaults. The encryption method comprises a confusion phase, in which pixel positions are randomized using chaotic sequences, succeeded by a diffusion phase, where pixel intensities are altered utilizing optimal key sequences. Performance evaluation is executed by entropy analysis, correlation coefficient tests, NPCR, UACI, and studies of computational complexity. The findings indicate that the suggested method attains elevated entropy, minimal correlation, and robust key sensitivity, rendering it exceptionally resilient against brute-force and differential assaults. Notwithstanding its computing burden from fractional-order chaotic dynamics, the suggested model offers a secure and efficient encryption method appropriate for real-time image protection applications.
Smart Water Management System For Rural And Urban Infrastructure Using Iot M Joshika, R Ashwin, S Hema Varshini, A K Jubair Ahamed, B Sakthikumar 2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025 The IoT-based Smart Water Management System represents modern state-of-the-art technology which provides effective control of water resources for urban and rural areas. This system enables real-time assessment of water levels as well as stream flow and quality and usage pattern data by using advanced sensors and actuators and Internet of Things devices. The water delivery system benefits from precise wastage reduction through NodeMCU processing of data acquired from Ultrasonic Sensor and flow sensor inputs that monitor water levels and leak detection. Motor pumps and valves receive data through the Driver Circuit. Cookies send the data to cloud infrastructure to display vital information through web-based dashboards for remote monitoring purposes. The system employs machine learning algorithms for detecting anomalies while also predicting future water needs to adjust the water distribution. The system uses Java's animation function to display water tank levels chaotically which provides both improved visual interface and instant system performance monitoring. The method saves 30% of water resources while reducing human labor expenses and ensures more sustainable water management and energy-efficient solutions. The proposed plan shows successful implementation for eco-conscious water resource management and environmental preservation within industrial spaces and agricultural zones and smart urban areas.
SMART AI BASED ATTENDANCE MONITORING SYSTEM USING YOLOV8 Sakthikumar B, Ramlaingam S, Saghana T, Sahaya Joseph Idin G, Shakunthala S, Shivadharshan S 2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025 The proposed system utilizes the YOLOv8 – a computer vision model for object detection, classification and instant segmentation of captured images. The proposed work helps to identify and extract facial regions from the input images or real-time videos through the fixed CCTV camera in the classrooms and the mark the attendance for the students. The current attendance system makes it difficult to track the student attendance during each lecture period and it also consumes lot of time. There is a chance for human errors also to occur. The proposed system uses YOLOv8 algorithm, that compares the registered faces from the database and identifies the individual identities. The algorithm employs a CNN that divides the captured image into grid. Hence, the proposed system has a friendly user interface, that enables the administrators to manage the record of student’s attendance easily and helps to save time and reduce human errors. It makes attendance monitoring more easier and faster. The used algorithm performs faster than Faster R-CNN in terms of speed and accuracy. Its GPU latency compared to R-CNN is 1.3ms. The rate of skipping classes and students leaving early can be reduced greatly using the proposed work. Experimental data shows that the accuracy rate of video-monitoring system is up to 80%. Hence the proposed system will help in the reduction of errors and compute the attendance data faster compared to any other real-time monitoring algorithms.
An efficient image encryption algorithm using a discrete memory-based logistic map with deep neural network B. Sakthi Kumar, R. Revathi Journal of Engineering and Applied Science, 2024 In the last few years, multimedia technology has made tremendous strides. These days, the Web is frequently used to transfer multimedia content, including audio, video, and photos. However, the Internet is a very vulnerable medium with many security holes. To ensure that multimedia content carried across unprotected channels, like the Internet, is secure and private, several encryption techniques have been proposed. New encryption strategies must be developed because multimedia data streams cannot be encrypted using traditional methods. Therefore, the main goal of the recommended system is to present an analytical research approach for introducing a sophisticated framework wherein the suggested encryption technologies' efficacy is increased through the use of deep neural networks (DNNs). The robustness of the DNN principle is coupled with a discrete memristor-based logistic chaotic map notion for enhanced security performance. In this paper, three distinct encryption algorithms—Arnie cat with an artificial neural network (ANN), Henon map with an ANN, and logistic map with a DNN—are compared for security and performance with the suggested algorithm. Correlation coefficients, information entropy, number of pixels changing rate (NPCR), encryption quality, and encryption duration are the cryptographic analysis parameters examined here. The results show that the recommended implementation enhances security performance without degrading image quality. The proposed algorithm achieves 35.9% of UACI, 99.95% of NPCR, and 7.997231 of entropy.
A Comprehensive Review on Image Encryption Techniques using Memristor based Chaotic System for Multimedia Application B. Sakthi kumar, R. Revathi IETE Journal of Research, 2024 Image encryption is one of the most widely used techniques for securing images in trusted and unrestricted public media. However, the drawback is weak security in chaotic encryption algorithms, small key space and hardware implementation complexities. Various appropriate encryption algorithms have been carried out for secure image transmission; it becomes a critical issue to protect image integrity, confidentiality and authenticity. To overcome these issues, this article examines several existing memristor-based image encryption algorithms with various chaotic maps. As a result, this research aims to deliver comprehensive literature on image encryption techniques through memristor to help the researchers. Finally, this survey provides all vital literature on the current image encryption techniques with their benefits, drawbacks, developments, and future directions. We also give a general guideline about cryptography. We conclude that all methods are helpful for real-time image encryption. A comparison has been made between many image processing approaches (conventional and memristor) based on metrics such as the number of pixels change rate (NPCR) with the value of 0.9986, histogram, entropy (7.9993), unified average varying intensity (UACI) achieves the value as 0.4996, energy consumption as 0.32pJ and time complexity as 0.9s. The experimental results of various approaches, key sensitivity and statistical analysis revealed that the survey of memristor-based image encryption schemes provides an effective way to secure image transmission in real-time application.
LoRa - IoT based Industrial Automation Motor Speed Control Monitoring System B. Sakthi Kumar, S. Ramalingam, V. Divya, S. Amruthavarshini, S. Dhivyashree Idciot 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things Proceedings, 2023 A phase of the Industrial Revolution known as the Data Revolution resulted in a paradigm shift towards the Internet of (industrial) things. Traditional wired infrastructure-based remote research methodology and automation systems have paved way to be more modern, adaptable systems, including wireless technology, battery-powered devices, and wireless sensor networks. The study explored LoRa technology to implement industrial wireless networks for sensors and actuators throughout the industry 4.0 era. This article briefly introduces LoRa before contrasting its effectiveness in industrial applications with more conventional industrial wireless technologies. The anticipated widespread use of consumer IoT networks has prompted the development of new wireless technologies. The industry will find this intriguing as well. These innovations in communications and computer systems are integrated with the Internet in Industry 4.0.
Intelligent Automation System for Energy Conservation Using IoT and Machine Learning B.Sakthi Kumar, S. Ramalingam, S. Viveka, V.G Vigneshwar, N. Sivasubramaniam, J.Sancta Maria 7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2023 People's busy and comfortable lifestyles in our technological era have enabled communication technology to advance to the point where any information may be accessed from anywhere in the world. Technological revolutions such as the Internet of Things and machine learning have grown in popularity in recent years due to the benefits they represent in a variety of domains of expertise. It is worth noting that implementing these two technologies encourages the development of more and better-automated systems of control in the home automation area that adapt to the preferences of each user. Many instances occur at establishments as a result of negligence and forgetfulness, when electrical equipment is left on even when there is no human presence in the room. This is one of the most prominent examples of societal electrical waste. As a result, a smart system that ensures both efficacy and efficiency must be implemented. To solve this issue, a privacy-preserving and safe identification and verification methodology for Home Automation Systems that leverages strong current technologies such as IoT, Machine Learning (ML), and Image Processing are proposed. It additionally makes utilization of more efficient image processing technologies than IR sensor-based systems for home automation. The ML Algorithm is responsible for recognizing people in each frame captured by the camera. A robust machine learning system capable of accurately distinguishing diverse environmental variables and human activities is designed to manage challenging situations.
Survey on Smart Agriculture Using Iot B. SakthiKumar, M.Ishwarya Niranjana, M. Abinath, I.Guru Prasath, K. Jugasri, S. Kailash 2023 International Conference on Computer Communication and Informatics Iccci 2023, 2023 Each day, the agriculture sector in India loses ground on both sides, which reduces the ecosystem’s potential for production. To resuscitate agriculture and return it to a path of higher growth, a solution is increasingly needed. It takes a lot of maintenance, expertise, and management to maintain a large-scale agricultural system. The Internet of Things (IoT) is a system of networked devices that enables both automated job fulfilment and data transmission and reception through the internet. The crop yields are boosted by the abundance of data analysis parameters offered by the agricultural sector. Information and communication are modernized through the usage of IoT devices in smart farming. Soil moisture, minerals, light, and other elements can be expected for better crop growth. This study examines a handful of these traits for data analysis in an effort to help consumers use IoT to make better agricultural decisions in farming and irrigation. The method is designed to assist farmers in boosting agricultural productivity.
Integration Of AI and IoT In Medminder and Dosette Box B. Sakthi Kumar, S. Dhanasekar, L. Naveen Kumar, T. Naveenkumar, S. Raghul, R. Ralynn Celecia 2023 International Conference on Next Generation Electronics Nelex 2023, 2023 A Medminder and Dosette Box (MDB) is a technological solution for dispensing and managing medications in healthcare facilities. This system automates the medication dispensing process, reducing the likelihood of errors and improving patient safety. The MDB comprises a database of patient information, a system for dispensing medications, and a software platform for managing and monitoring the dispensing process. The MDB works by scanning a patient's barcode to verify their identity and retrieving their medication information from the database. The system then dispenses the required medication in the appropriate dosage and records the transaction in the electronic medical record of the patient which eliminates the need for manual record keeping and reduces the risk of errors in dispensing. One of the key advantages of the MDB is that it improves patient safety. By automating the dispensing process, the system eliminates the risk of human error in dispensing medications. It also helps to prevent medication errors such as incorrect dosage, wrong medication, or medication interactions by cross-checking against patient records. The MDB also offers significant benefits to healthcare facilities. It saves time by automating manual processes and reduces the workload of healthcare professionals, freeing up their time for other tasks. The system also improves inventory management by tracking medication usage and ordering supplies as needed.
IoT based real time neonate monitoring system using arduino Journal of Advanced Research in Dynamical and Control Systems, 2017
RECENT SCHOLAR PUBLICATIONS
A dynamic image encryption scheme using a memristive quantum-inspired chaotic system and Golden Jackal optimization BS Kumar, R Revathi International Journal of System Assurance Engineering and Management, 1-28 , 2025 2025
Machine Learning Based Electroencephalography Vital Signal Monitoring for Bed-Ridden People SS PS, S Sabhareeswaran, D Rupasri 2025 IEEE 5th International Conference on ICT in Business Industry … , 2025 2025
Integrated Safety Helmet with TinyML for RealTime Anomaly Detection in Aviation Crew LL VJ, S Nagalakshmi, C Nandhakishore, PR Naveen 2025 Third International Conference on Emerging Applications of Material … , 2025 2025
Enhancing Image Security with Memristor Driven Fractional Chaotic Systems and Secretary Bird Optimization RR Sakthi Kumar B Journal of Machine and Computing 5 (02), 1160-1173 , 2025 2025
Smart AI Based Attendance Monitoring System Using YOLOV8 B Sakthikumar, S Ramlaingam, T Saghana, G Sahaya Joseph Idin, ... 2025 3rd International Conference on Advancements in Electrical, Electronics … , 2025 2025 Citations: 3
Smart Water Management System For Rural And Urban Infrastructure Using Iot M Joshika, R Ashwin, SH Varshini, AKJ Ahamed, B Sakthikumar 2025 3rd International Conference on Advancements in Electrical, Electronics … , 2025 2025 Citations: 3
An efficient image encryption algorithm using a discrete memory-based logistic map with deep neural network BS Kumar, R Revathi Journal of Engineering and Applied Science 71 (1), 41 , 2024 2024 Citations: 32
A comprehensive review on image encryption techniques using memristor based chaotic system for multimedia application B Sakthi Kumar, R Revathi IETE Journal of Research 70 (11), 8160-8183 , 2024 2024 Citations: 8
Integration Of AI and IoT In Medminder and Dosette Box BS Kumar, S Dhanasekar, LN Kumar, T Naveenkumar, S Raghul, ... 2023 International Conference on Next Generation Electronics (NEleX) , 2024 2024 Citations: 1
Intelligent Automation System for Energy Conservation Using IoT and Machine Learning BS Kumar, S Ramalingam, S Viveka, VG Vigneshwar, ... 2023 7th International Conference on Electronics, Communication and … , 2023 2023 Citations: 3
Energy-Efficient Clustering and Routing Algorithm using Deer Hunting Optimization in Wireless Sensor Networks T Jayachandran, A Logeswaran, S Thillaikkarasi, SM Suman, ... 2023 7th International Conference on Electronics, Communication and … , 2023 2023
Survey On Smart Agriculture Using Iot B SakthiKumar, MI Niranjana, M Abinath, IG Prasath, K Jugasri, S Kailash 2023 International Conference on Computer Communication and Informatics … , 2023 2023 Citations: 4
LoRa-IoT based industrial automation motor speed control monitoring system BS Kumar, S Ramalingam, V Divya, S Amruthavarshini, S Dhivyashree 2023 International Conference on Intelligent Data Communication Technologies … , 2023 2023 Citations: 16
An IoT based natural disaster monitoring for railway accident warning alert system S Balamurugan, G Sasi, A Mohanapriya, D FaridhaBanu, S Ramalingam, ... 2022 3rd International Conference on Communication, Computing and Industry 4 … , 2022 2022 Citations: 8
Designing and Implementation of Cellular Network Based LPG Monitoring and Alert System S Ramalingam, BS Kumar, K Prabhu, CP Prashanth, E Petersam 2022 International Conference on Automation, Computing and Renewable Systems … , 2022 2022 Citations: 2
Design and development of smart hospital management and location tracking system for people using internet of things B Sakthikumar, S Ramalingam, G Deepthisre, T Nandhini 2022 International Conference on Augmented Intelligence and Sustainable … , 2022 2022 Citations: 7
Water management and control systems for smart city using IoT and artificial intelligence BS Kumar, S Ramalingam, S Balamurugan, S Soumiya, S Yogeswari 2022 International Conference on Edge Computing and Applications (ICECAA … , 2022 2022 Citations: 28
Framework for Environment Quality Monitoring Using Radial Support Vector Regression K Uday Kiran, S Shakeela, B Sakthi Kumar, K Rajesh Kumar, ... Journal of Computational and Theoretical Nanoscience 17 (5), 2176-2180 , 2020 2020
Delay Minimization in on Chip Interconnects by the Method of Logical Effort ROV S.A.Sivasankari, B.Sakthi Kumar International Journal of Recent Technology and Engineering (IJRTE) 8 (4 … , 2019 2019
PERFORMANCE ANALYSIS OF ADDERS USING TRANSMISSION GATE LOGIC ALD Sandu, D Uppala International Journal of Pure and Applied Mathematics 116 (6), 115-120 , 2017 2017
MOST CITED SCHOLAR PUBLICATIONS
IoT based real time neonate monitoring system using arduino MV Narayana, K Dusarlapudi, KU Kiran, BS Kumar J. Adv. Res. Dyn. Control Syst 9, 1764-1772 , 2017 2017 Citations: 35
An efficient image encryption algorithm using a discrete memory-based logistic map with deep neural network BS Kumar, R Revathi Journal of Engineering and Applied Science 71 (1), 41 , 2024 2024 Citations: 32
Water management and control systems for smart city using IoT and artificial intelligence BS Kumar, S Ramalingam, S Balamurugan, S Soumiya, S Yogeswari 2022 International Conference on Edge Computing and Applications (ICECAA … , 2022 2022 Citations: 28
LoRa-IoT based industrial automation motor speed control monitoring system BS Kumar, S Ramalingam, V Divya, S Amruthavarshini, S Dhivyashree 2023 International Conference on Intelligent Data Communication Technologies … , 2023 2023 Citations: 16
A comprehensive review on image encryption techniques using memristor based chaotic system for multimedia application B Sakthi Kumar, R Revathi IETE Journal of Research 70 (11), 8160-8183 , 2024 2024 Citations: 8
An IoT based natural disaster monitoring for railway accident warning alert system S Balamurugan, G Sasi, A Mohanapriya, D FaridhaBanu, S Ramalingam, ... 2022 3rd International Conference on Communication, Computing and Industry 4 … , 2022 2022 Citations: 8
Design and development of smart hospital management and location tracking system for people using internet of things B Sakthikumar, S Ramalingam, G Deepthisre, T Nandhini 2022 International Conference on Augmented Intelligence and Sustainable … , 2022 2022 Citations: 7
Survey On Smart Agriculture Using Iot B SakthiKumar, MI Niranjana, M Abinath, IG Prasath, K Jugasri, S Kailash 2023 International Conference on Computer Communication and Informatics … , 2023 2023 Citations: 4
Smart AI Based Attendance Monitoring System Using YOLOV8 B Sakthikumar, S Ramlaingam, T Saghana, G Sahaya Joseph Idin, ... 2025 3rd International Conference on Advancements in Electrical, Electronics … , 2025 2025 Citations: 3
Smart Water Management System For Rural And Urban Infrastructure Using Iot M Joshika, R Ashwin, SH Varshini, AKJ Ahamed, B Sakthikumar 2025 3rd International Conference on Advancements in Electrical, Electronics … , 2025 2025 Citations: 3
Intelligent Automation System for Energy Conservation Using IoT and Machine Learning BS Kumar, S Ramalingam, S Viveka, VG Vigneshwar, ... 2023 7th International Conference on Electronics, Communication and … , 2023 2023 Citations: 3
Designing and Implementation of Cellular Network Based LPG Monitoring and Alert System S Ramalingam, BS Kumar, K Prabhu, CP Prashanth, E Petersam 2022 International Conference on Automation, Computing and Renewable Systems … , 2022 2022 Citations: 2
Integration Of AI and IoT In Medminder and Dosette Box BS Kumar, S Dhanasekar, LN Kumar, T Naveenkumar, S Raghul, ... 2023 International Conference on Next Generation Electronics (NEleX) , 2024 2024 Citations: 1
A dynamic image encryption scheme using a memristive quantum-inspired chaotic system and Golden Jackal optimization BS Kumar, R Revathi International Journal of System Assurance Engineering and Management, 1-28 , 2025 2025
Machine Learning Based Electroencephalography Vital Signal Monitoring for Bed-Ridden People SS PS, S Sabhareeswaran, D Rupasri 2025 IEEE 5th International Conference on ICT in Business Industry … , 2025 2025
Integrated Safety Helmet with TinyML for RealTime Anomaly Detection in Aviation Crew LL VJ, S Nagalakshmi, C Nandhakishore, PR Naveen 2025 Third International Conference on Emerging Applications of Material … , 2025 2025
Enhancing Image Security with Memristor Driven Fractional Chaotic Systems and Secretary Bird Optimization RR Sakthi Kumar B Journal of Machine and Computing 5 (02), 1160-1173 , 2025 2025
Energy-Efficient Clustering and Routing Algorithm using Deer Hunting Optimization in Wireless Sensor Networks T Jayachandran, A Logeswaran, S Thillaikkarasi, SM Suman, ... 2023 7th International Conference on Electronics, Communication and … , 2023 2023
Framework for Environment Quality Monitoring Using Radial Support Vector Regression K Uday Kiran, S Shakeela, B Sakthi Kumar, K Rajesh Kumar, ... Journal of Computational and Theoretical Nanoscience 17 (5), 2176-2180 , 2020 2020
Delay Minimization in on Chip Interconnects by the Method of Logical Effort ROV S.A.Sivasankari, B.Sakthi Kumar International Journal of Recent Technology and Engineering (IJRTE) 8 (4 … , 2019 2019
