Recent Projects

Cyber Security (2019-Present)

  • Adversarial Reconnaissance

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.

  • Cyber Deception

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.