154 citations · 445 across the 69 of their papers we have counts for
18 papers · 1 filter
Stochastic Modeling of Human-Machine Authentication Channels under Partial Information Leakage
Nilesh Chakraborty, Mohammad Zulkernine, Burak Kantarci
Reliable and secure human-machine communication is fundamental to IoT and cyber-physical ecosystems, where smartphones and wearables commonly serve as authentication controllers. P…
CWGAN-GP Augmented CAE for Jamming Detection in 5G-NR in Non-IID Datasets
Samhita Kuili, Mohammadreza Amini, Burak Kantarci
In the ever-expanding domain of 5G-NR wireless cellular networks, over-the-air jamming attacks are prevalent as security attacks, compromising the quality of the received signal. W…
Efficient Adversarial Detection Frameworks for Vehicle-to-Microgrid Services in Edge Computing
Ahmed Omara, Burak Kantarci
As Artificial Intelligence (AI) becomes increasingly integrated into microgrid control systems, the risk of malicious actors exploiting vulnerabilities in Machine Learning (ML) alg…
A Two-Stage CAE-Based Federated Learning Framework for Efficient Jamming Detection in 5G Networks
Samhita Kuili, Mohammadreza Amini, Burak Kantarci
Cyber-security for 5G networks is drawing notable attention due to an increase in complex jamming attacks that could target the critical 5G Radio Frequency (RF) domain. These attac…
Active RIS-Assisted URLLC NOMA-Based 5G Network with FBL under Jamming Attacks
Ghazal Asemian, Mohammadreza Amini, Burak Kantarci
In this paper, we tackle the challenge of jamming attacks in Ultra-Reliable Low Latency Communication (URLLC) within Non-Orthogonal Multiple Access (NOMA)-based 5G networks under F…
Joint Task Offloading and User Scheduling in 5G MEC under Jamming Attacks
Mohammadreza Amini, Burak Kantarci, Claude D'Amours +1
In this paper, we propose a novel joint task offloading and user scheduling (JTO-US) framework for 5G mobile edge computing (MEC) systems under security threats from jamming attack…
The impact of mobility, beam sweeping and smart jammers on security vulnerabilities of 5G cells
Ghazal Asemian, Michel Kulhandjian, Mohammadreza Amini +3
The vulnerability of 5G networks to jamming attacks has emerged as a significant concern. This paper contributes in two primary aspects. Firstly, it investigates the effect of a mu…
Bypassing a Reactive Jammer via NOMA-Based Transmissions in Critical Missions
Mohammadreza Amini, Ghazal Asemian, Michel Kulhandjian +3
Wireless networks can be vulnerable to radio jamming attacks. The quality of service under a jamming attack is not guaranteed and the service requirements such as reliability, late…
Multidomain transformer-based deep learning for early detection of network intrusion
Jinxin Liu, Murat Simsek, Michele Nogueira +1
Timely response of Network Intrusion Detection Systems (NIDS) is constrained by the flow generation process which requires accumulation of network packets. This paper introduces Mu…
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier
Zhiyan Chen, Murat Simsek, Burak Kantarci +2
Network Intrusion Detection Systems (NIDS) have been extensively investigated by monitoring real network traffic and analyzing suspicious activities. However, there are limitations…
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
Mohamed Amine Ferrag, Othmane Friha, Burak Kantarci +6
The ongoing deployment of the fifth generation (5G) wireless networks constantly reveals limitations concerning its original concept as a key driver of Internet of Everything (IoE)…
Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled IoTs: An Anticipatory Study
Mohamed Amine Ferrag, Burak Kantarci, Lucas C. Cordeiro +2
Federated edge learning can be essential in supporting privacy-preserving, artificial intelligence (AI)-enabled activities in digital twin 6G-enabled Internet of Things (IoT) envir…
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark
Yu Shen, Murat Simsek, Burak Kantarci +3
The number of Internet of Things (IoT) devices being deployed into networks is growing at a phenomenal level, which makes IoT networks more vulnerable in the wireless medium. Advan…
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection
Jinxin Liu, Murat Simsek, Burak Kantarci +2
Intrusion Detection Systems (IDS) are critical security mechanisms that protect against a wide variety of network threats and malicious behaviors on networks or hosts. As both Netw…
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
Ahmed Omara, Burak Kantarci
In this paper, we study the expanding attack surface of Adversarial Machine Learning (AML) and the potential attacks against Vehicle-to-Microgrid (V2M) services. We present an anti…
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats
Zhiyan Chen, Jinxin Liu, Yu Shen +4
Despite its technological benefits, Internet of Things (IoT) has cyber weaknesses due to the vulnerabilities in the wireless medium. Machine learning (ML)-based methods are widely…
Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing
Zhiyan Chen, Burak Kantarci
Mobile Crowdsensing systems are vulnerable to various attacks as they build on non-dedicated and ubiquitous properties. Machine learning (ML)-based approaches are widely investigat…
Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts
Jinxin Liu, Murat Simsek, Burak Kantarci +3
Access to resources by users may need to be granted only upon certain conditions and contexts, perhaps particularly in cyber-physical settings. Unfortunately, creating and modifyin…