activity
20152021
most citedDetection of Unauthorized IoT Devices Using Machine Learning Techniques

198 citations · 228 across the 6 of their papers we have counts for

collaborators

12 papers

cs.CR2021

Scanning the Cycle: Timing-based Authentication on PLCs

Chuadhry Mujeeb Ahmed, Martin Ochoa, Jianying Zhou +1

Programmable Logic Controllers (PLCs) are a core component of an Industrial Control System (ICS). However, if a PLC is compromised or the commands sent across a network from the PL…

cs.CR2018

Taming the War in Memory: A Resilient Mitigation Strategy Against Memory Safety Attacks in CPS

Eyasu Getahun Chekole, Unnikrishnan Cheramangalath, Sudipta Chattopadhyay +2

Memory-safety attacks have been one of the most critical threats against computing systems. Although a wide-range of defense techniques have been developed against these attacks, t…

cs.CR2018

Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach

Ivan Homoliak, Martin Teknos, Martín Ochoa +3

Machine-learning based intrusion detection classifiers are able to detect unknown attacks, but at the same time, they may be susceptible to evasion by obfuscation techniques. An ad…

cs.CR2018

Insight into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures

Ivan Homoliak, Flavio Toffalini, Juan Guarnizo +2

Insider threats are one of today's most challenging cybersecurity issues that are not well addressed by commonly employed security solutions. Despite several scientific works publi…

cs.CR201710 cited

NoiSense: Detecting Data Integrity Attacks on Sensor Measurements using Hardware based Fingerprints

Chuadhry Mujeeb Ahmed, Aditya Mathur, Martin Ochoa

In recent years fingerprinting of various physical and logical devices has been proposed with the goal of uniquely identifying users or devices of mainstream IT systems such as PCs…

cs.CR2017198 cited

Detection of Unauthorized IoT Devices Using Machine Learning Techniques

Yair Meidan, Michael Bohadana, Asaf Shabtai +4

Security experts have demonstrated numerous risks imposed by Internet of Things (IoT) devices on organizations. Due to the widespread adoption of such devices, their diversity, sta…