Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

Assistant Professor at Intrusion Detection and Prevention, The National Institute of Engineering, Mysuru, India

Sharmila B S is currently pursuing a Ph.D. focusing on Network Security for IoT devices. Their research interests primarily lie in Network Security, Internet of Things (IoT), and Artificial Intelligence (AI). With 7 years of combined teaching and industry experience, Sharmila has also delivered talks on Python, AI, and IoT for technical talks and workshops.

Professional profiles

Google scholar

🎓Education:

Sharmila B S completed their academic qualifications as follows: a Ph.D. from the Department of ECE at the National Institute of Engineering, Mysuru, under Visweshwaraiah Technological University in 2018; an MTech in VLSI Design & Embedded Systems from SJCE, Mysore; and a BE in E&C from Kalpataru Institute of Technology, Tiptur, both under Visweshwaraiah Technological University, obtained in 2013 and 2011 respectively.

👩‍🏫Professional Experience:

Sharmila B S has professional experience as an Assistant Professor at the National Institute of Engineering, Mysuru, from July 25, 2016, to the present. Prior to this, they worked as a Lecturer at the same institute from July 27, 2015, to June 26, 2016. Before joining the National Institute of Engineering, Sharmila was an Assistant Professor at PESITM, Shivamogga, from July 21, 2014, to June 30, 2015. They also have internship experience at LG Soft India, Bangalore, from July 11, 2012, to December 31, 2013.

Subjects Taught:

Sharmila B S has taught a range of subjects, including Internet of Things, Data Structures using C++, Information Theory and Network Security, Embedded Systems, and Fundamentals of CMOS VLSI.

Publications:

“Intrusion Detection System using Naive Bayes algorithm” by BS Sharmila, R Nagapadma, published in the 2019 IEEE International WIE Conference on Electrical and Computer, with 24 citations in 2019.

“Comparison of time complexity in median filtering on multi-core architecture” by BS Sharmila, N Kaulgud, published in the 2017 3rd International Conference on Advances in Computing, Communication, with 2 citations in 2017.

“Multi Core DNN based IDS for Botnet Attacks using KPCA Reduction Techniques” by BS Sharmila, R Nagapadma, published in 2021.

“Design of memristor based multiplier” by N Jagan, U NS, S Kouser, published in the International Research Journal of Engineering and Technology, 6(1), 2019.

“Optimizing Deep Learning Networks for Edge Devices with an Instance of Skin Cancer and Corn Leaf Disease Dataset” by BS Sharmila, HS Santhosh, S Parameshwara, MS Swamy, WH Baig, published in SN Computer Science, 4(6), 793, 2023.

“QAE-IDS: DDoS anomaly detection in IoT devices using Post-Quantization Training” by BS Sharmila, R Nagapadma, published in Smart Science, 11(4), 774-789, 2023.

“Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset” by BS Sharmila, R Nagapadma, published in Cybersecurity, 6(1), 41, 2023.

“P‐DNN: Parallel DNN based IDS framework for the detection of IoT vulnerabilities” by S BS, R Nagapadma, published in Security and Privacy, e330, 2023.

“KNN classification using multi-core architecture for intrusion detection system” by BS Sharmila, R Nagapadma, published in the Communication and Computing Systems: Proceedings of the 2nd International Conference.