most citedSHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning

48 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023★ 5 cited

Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses

Ashraf Haddad, Najwa Aaraj, Preslav Nakov +1

In recent years, a proliferation of cyber-security threats and diversity has been on the rise culminating in an increase in their reporting and analysis. To counter that, many non-…

cs.CR2023

ML-FEED: Machine Learning Framework for Efficient Exploit Detection

Tanujay Saha, Tamjid Al-Rahat, Najwa Aaraj +2

Machine learning (ML)-based methods have recently become attractive for detecting security vulnerability exploits. Unfortunately, state-of-the-art ML models like long short-term me…

quant-ph2021★ 9 cited

Solving systems of Boolean multivariate equations with quantum annealing

Sergi Ramos-Calderer, Carlos Bravo-Prieto, Ruge Lin +4

Polynomial systems over the binary field have important applications, especially in symmetric and asymmetric cryptanalysis, multivariate-based post-quantum cryptography, coding the…

cs.NI2021

Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems

Tanujay Saha, Najwa Aaraj, Niraj K. Jha

The core network architecture of telecommunication systems has undergone a paradigm shift in the fifth-generation (5G)networks. 5G networks have transitioned to software-defined in…

cs.CR2021★ 48 cited

SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning

Tanujay Saha, Najwa Aaraj, Neel Ajjarapu +1

Cyber-physical systems (CPS) and Internet-of-Things (IoT) devices are increasingly being deployed across multiple functionalities, ranging from healthcare devices and wearables to…