[Ph.D. students]
- Andres Rainiero Hernandez Coronado – Side Channel Attacks
- Mohammad Nadim – Securing Microservices using Deep Learning
- Ganesh Reddy Gunnam – Securing Microservices using Deep Learning
[Master students]
- Gandhali Patil – Securing Microservices using Deep Learning
- Wajdi Bazuhair (Graduate Fall 2018, Thesis – Detecting Malware’s Encrypted Network Traffic Using Perlin Noise and Convolutional Neural Network)
- Iram Lee (Graduate Fall 2018, Project – Using Autoencoders to Identify Kernel-level Rootkit Exploits to System Call Functions in Containerized Applications)
- Rana Al Ameedee (Graduated Spring 2018, Thesis – Exploiting User Privacy from IoT Devices Using Deep Learning and its Mitigation)
- Zachary Parrish (Graduated Spring 2018, Project – An Examination of Homomorphic Encryption Performance in a Containerized Microservice Architecture)
- Bin Yang (Graduated Fall 2017, Thesis – Human Body Odor Based Authentication Using Machine Learning)
- Amrita Honap (Graduated Summer 2017, Thesis – Hiding Kernel Level Rootkits Using Stack Overflow and Return Oriented Programming)
- Andres Rainiero Hernandez Coronado (Graduated Spring 2017, Thesis – Effective Analysis of Side-Channel Attacks in the Second Level Cache)
- Nidhin Alexander (Graduated Spring 2017, Thesis – Behavioral Patterns of Kernel Level Rootkits Attacking Containers in Linux)
- Akhileshreddy Baddigam (Graduated Fall 2016, Project – Web Application Security in Containers )
- Krishna Chaitanya Gollanapally (Graduated Fall 2016, Project – Implementing DDoS Attack in Mininet and Defending Using SDN)
[Undergraduate students]
- Elliott Aguilar – Securing Microservices using Deep Learning
- Alonso Ramon – Data Science