Cyber Security (2019-Present)
We developed a taxonomy of Adversarial Reconnaissance where we categorized Reconnaissance techniques as Internet Intelligence, Social Engineering, Network Scanning, Local Discovery, and Side-channel Attacks.
We modeled an attacker's belief update process in a deceptive environment based on passive reconnaissance.
IoT Remote Attestation
We developed an ARM-based IoT Security testbed that enables security research (vulnerability and exploit analysis, remote attestation methods).
Game Theory and Reinforcement Learning in Security (2020-Present)
Attacker-Defender Security Game
We developed an attacker-defender game-theoretic model and presented a solution concept for both players (Algorithmic and Reinforcement Learning-based approaches).
E-Government Application Framework (2020)
A Mobile-Fog Computing Framework for COVID-19 Contact Tracing
We developed an E-government Privacy-Preserving Mobile, and Fog computing framework entitled PPMF that can trace infected, and suspected cases nationwide. We use personal mobile devices with a contact tracing app, and two types of stationary fog nodes to trace community transmission alongside maintaining user data privacy.
Data Scrapping and Analysis (2019-2020)
Smart Contract Security Analysis
We scraped posts from Stack Overflow and Medium; and analyzed the discussions to find out trends of attacks and security tools related to Smart Contract development.