Mrs Asha Chellathurai Selvi
Assistant Professor
Academic Area: M.Tech
Areas of Interest: Information Technology
Profile
Assistant Professor, Department of CSE-DS, SNPSU
Asha C S has 1 year of teaching experience as an Assistant Professor at Sapthagiri NPS University. Worked at Tamil Nadu as a Teaching staff for 2 years, an admin for 2 years and a paper publication team head for 6 months
Her areas of interest include Design and Analysis of Algorithms, Software Engineering, Database Management Systems, Web Technology and Mobile Applications. I have published 1 paper in international journals, and one more is in process.
Published papers
The widespread deployment of Internet of Things (IoT) devices in smart healthcare, industrial automation, and intelligent transportation systems has widened the attack surface of distributed systems. Resource-constrained IoT nodes remain vulnerable to identity spoofing, data tampering, replay attacks, and denial-of-service intrusions due to limited computational and storage capacity. This paper proposes an Adaptive IoT Security Algorithm (AISA) that combines selected lightweight cryptography with a blockchain-based trust management framework to achieve scalable, privacy-preserving architectures. The framework dynamically selects cryptographic configurations based on device capability scores, whereas a permissioned blockchain provides decentralised authentication, an unchangeable audit log, and secure transaction validation. The optimised lightweight cryptography mechanism, combined with selective consensus based on PBFT, reduces detection latency to 36.4 milliseconds while maintaining a throughput of 248 transactions per second in large-node IoT environments. For operational cycles, energy consumption is only 3.2 J, and the blockchain overhead is only 9.7%, making it an efficient way to handle consensus. The proposed framework has a Scalability Index of 0.81, indicating excellent performance under increasing network size and load. The adaptive model is more efficient in terms of computation and resource use than the static, standalone security strategies and offers strong resistance to replay and impersonation attacks. The findings establish that the resource-aware lightweight cryptography and blockchain-based distributed trust provide a trade-off between the security strength, scalability, and computational sustainability that is balanced, and therefore, the architecture can be applied in large-scale IoT deployments.
FDPs / MDPs / Workshops
Design and Analysis of Algorithms
Design and Analysis of Algorithms is a core subject in Computer Science that focuses on developing efficient and optimised solutions for computational problems. The subject helps students understand how to design step-by-step procedures (algorithms) to solve real-world problems using logical thinking, mathematical analysis, and programming techniques.
Students learn various algorithm design methods, such as divide-and-conquer, the greedy method, dynamic programming, backtracking, and graph algorithms. The subject also teaches how to analyze the performance of algorithms based on time complexity and space complexity to identify the most efficient solution.
Through this subject, students develop problem-solving skills, analytical thinking, coding efficiency, and the ability to build optimized software applications. It provides a strong foundation for programming, software development, competitive coding, data structures, artificial intelligence, and technical interview preparation.