Sridevi.V
@psgcas.irins.org
Assistant Professor and Department of Computer Science
PSG College of Arts and Science
EDUCATION
M.C.A, M.Phil, Ph.D
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Computer Vision and Pattern Recognition
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Anandhi Damodaraswamy, V. Sridevi, V. Revathi, Lavish Kansal, Melanie Lourens, and Joshuva Arockia Dhanraj
IGI Global
The introduction of 6G networks promises previously unheard-of levels of innovation and connectivity in today's quickly changing technological environment. But this progress also means that strong security measures are desperately needed to guard against new cyberthreats. Investigating cutting-edge pedagogical strategies that promote in-depth comprehension and real-world application of security concepts is crucial as we train the next generation of professionals to handle the complexity of 6G security. The goal of the chapter is to transform the way that security is taught and learned in relation to 6G networks.
V. Sridevi, Dipen Bhuva, Abhishek Bhuva, Mithilesh Kumar Sharma, Sumeet Gupta, and Mukesh Soni
IEEE
Deep neural network-powered Internet of Things (IoT) devices are anticipated to revolutionise a range of industrial applications, propelled by the recent expansion of both IoT and DNN fields. On the other hand, DNNs process the data produced by IoT devices using a variety of parameters and processes. High energy consumption and latency in data processing are the outcomes of this. In order to address these problems and integrate real-time DNNs into IoT devices with constrained resources, new strategies are being investigated.
V. Sridevi and J. Abdul Samath
Springer Science and Business Media LLC