N. Manikandan

Manikandan N. obtained his Bachelors of Engineering degree in Computer Science Engineering from Anna University 2005. Then he obtained his Master’s of engineering degree in in Computer Science Engineering from Anna University 2011. He completed his PhD in Sathyabama Institute of Science and Technology 2020, He is currently working an Assistant Professor Department of Data science and Business Systems, SRMIST, Katankulathur, Chennai. His specializations include cloud computing, Operating systems, Big data.

Publications

Green Computing-Based Digital Waste Management and Resource Allocation for Distributed Fog Data Centers
Green Computing-Based Digital Waste Management and Resource Allocation for Distributed Fog Data Centers
N. Manikandan, D. Vinod, R. Anto Arockia Rosaline, P. Nancy, G. Premalatha. © 2024. 18 pages.
The term “green computing” describes the efficient use of resources in computing and IT/IS infrastructure. This study suggests a unique method for dispersed fog data centres'...
A Systematic Review: Future Prospects and Challenges to IoT-Based EHRs in the Healthcare Industry
A Systematic Review: Future Prospects and Challenges to IoT-Based EHRs in the Healthcare Industry
N. Manikandan, A. Devi Priya, D. Vinod, M. Suresh Ananad, G. Padmapriya. © 2024. 28 pages.
In modern era, the internet of things (IoT) has transfigured the medical industry, empowering the unified collection and exchange of patient data. However, this increased...
Investigation of Machine Learning Approaches on Security Analysis of Cryptographic Algorithms
Investigation of Machine Learning Approaches on Security Analysis of Cryptographic Algorithms
Suresh Anand M., Anitha K., Devipriya A., Manikandan N., Vinod D.. © 2024. 20 pages.
The distributed denial of service (DDoS) assault was a kind of intrusion in the cloud computing environment that severely affects the end user by injecting illegitimate packets....
Next-Gen Cryptography: The Role of Machine Learning Applications in Privacy Preservation for Sensitive Data
Next-Gen Cryptography: The Role of Machine Learning Applications in Privacy Preservation for Sensitive Data
G. Padmapriya, V. Vennila, K. Anitha, N. Manikandan, M. Suresh Anand. © 2024. 21 pages.
In a time marked by an ever-increasing number of sensitive data and mounting worries about breaches of privacy, the area of cryptography has emerged as the frontrunner in the...