Dr. Shashwati Banerjea

Dr. Shashwati Banerjea

Assistant Professor
Department of Computer Science & Engineering
Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India-211004
E-mail: shashwati[at]mnnit[dot]ac[dot]in
Telephone: 0532-2271351(O)

Book Chapter:

Banerjea, S., Srivastava, S., and Kumar, S. (2021). Data security in the internet of things: Challenges and opportunities. Big Data Analytics for Internet of Things, 265-284
Banerjea, S., and Srivastava, S. (2021). Distributed Denial of Service Attacks in SDN Context. In Software-Defined Networking for Future Internet Technology (pp. 57-88). Apple Academic Press


Banerjea, S., Pandey, M., Gore, M. M., and Kumar, A. (2021). Publish/subscribe-based p2p-cloud of underutilized computing resources for providing computation-as-a-service. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 91(2), 383-392. SCIE, IF: 1.544
Singh, A. K., Srivastava, S., and Banerjea, S. (2022). Evaluating heuristic techniques as a solution of controller placement problem in SDN. Journal of Ambient Intelligence and Humanized Computing, 1-18.8 SCIE (IF:7.104)
Kumar, A., Banerjea, S., Jain, R., and Pandey, M. (2022). Softwaredefined content delivery network at the edge for adaptive video streaming. International Journal of Network Management, 32(6), e2210. (SCIE, IF: 1.914)
Gore, R., Banerjea, S., and Tyagi, N. (2022). A heterogeneous soft-hard fusion framework on fog based private SaS model for smart monitoring of public restrooms. Journal of Ambient Intelligence and Humanized Computing, 1-28. SCIE (IF:7.104)
Gore, R., Banerjea, S., and Tyagi, N. (2023) An eventdriven fusion framework with autoscaling of edge intelligence for resilient smart applications in developing countries. Transactions on Emerging Telecommunications Technologies, e4804. SCIE (IF:3.31)
Kumar, A., Banerjea, S. and Pandey, M. (2023) A Churn-Tolerant P2P CDN at the Edge for Video Content Delivery. SN COMPUTER. SCIENCE. 4, 541
Akhilesh Kumar, Shashwati Banerjea, Mayank Pandey, ”Churn-tolerant CDN at the Edge for Adaptive Video Streaming: Towards Multi-Connection Approach using HTTP/2” International Journal of Information Technology. (Accepted June 2023)

Conference Proceedings:

Ali, S., Banerjea, S., Pandey, M., and Tyagi, N. (2018). Wireless Fog-Mesh: A Communication and Computation Infrastructure for IoT Based Smart Environments. In International Conference on Mobile, Secure, and Programmable Networking (pp. 322-338). Springer, Cham
Banerjea, S., Pandey, M., Kumar, A., Dugar, R., and Gore, M. M. (2016). Implementation of MapReduce over structured peer-to-peer overlay of underutilized resources. In 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 1-6). IEEE.
Banerjea, S., Pandey, M., and Gore, M. M. (2016). Towards peer-to-peer solution for utilization of volunteer resources to provide computation-as-a-service. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA) (pp. 1146-1153).
Ali, S., Banerjea, S., Pandey, M., and Tyagi, N. (2019). Towards DHT-Based P2P Resource Sharing Over Hybrid Infrastructure of Wireless Mesh Network and Mobile Ad hoc Networks. In Computing and Network Sustainability (pp. 147-155). Springer, Singapore.
Gore, R., Banerjea, S., Tyagi, N., Saurav, S., Acharya, D., and Verma, V. (2020). An Efficient Edge Analytical Model on Docker Containers for Automated Monitoring of Public Restrooms in India. In 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 1-6). IEEE.
Bhushan, M., Banerjea, S., and Yadav, S. K. (2014). Bloom filter based optimization on HBase with MapReduce. In 2014 International Conference on Data Mining and Intelligent Computing (ICDMIC) (pp. 1-5). IEEE
Ghosh, D., Banerjea, S., Pandey, M., Anand, A., and Gautam, S. S. (2022). Reducing Start-Up Delay During Churn in P2P Tree-Based Video Streaming System Using Probabilistic Model Checking. In International Conference on Artificial Intelligence and Sustainable Engineering: Select Proceedings of AISE 2020, Volume 2 (pp. 199-217). Singapore: Springer Singapore
Gore, R., Banerjea, S., and Tyagi, N. (2021). Adaptive Neuro-Fuzzy Inference System-Based Information Fusion Model for Smart Monitoring of Public Amenities. In Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 2 (pp. 409-421). Singapore: Springer Singapore.