activity
20182026
most citedMachine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats

154 citations · 445 across the 69 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

eess.SP2023★ 4 cited

On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels

Omer Melih Gul, Michel Kulhandjian, Burak Kantarci +3

Cyber-physical systems have recently been used in several areas (such as connected and autonomous vehicles) due to their high maneuverability. On the other hand, they are susceptib…

cs.CR2023★ 11 cited

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…

cs.NI2023

Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning

Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici +2

Dense and unplanned IEEE 802.11 Wireless Fidelity(Wi-Fi) deployments and the continuous increase of throughput and latency stringent services for users have led to machine learning…

cs.CR2023★ 1 cited

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…

cs.CR2023★ 5 cited

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)…

cs.CV2023★ 12 cited

Table Detection for Visually Rich Document Images

Bin Xiao, Murat Simsek, Burak Kantarci +1

Table Detection (TD) is a fundamental task to enable visually rich document understanding, which requires the model to extract information without information loss. However, popula…

cs.IR2023★ 3 cited

Revisiting Table Detection Datasets for Visually Rich Documents

Bin Xiao, Murat Simsek, Burak Kantarci +1

Table Detection has become a fundamental task for visually rich document understanding with the surging number of electronic documents. However, popular public datasets widely used…

cs.CR2023★ 1 cited

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…

cs.NI2023

RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation

Pedro Enrique Iturria Rivera, Marcel Chenier, Bernard Herscovici +2

IEEE 802.11be -Extremely High Throughput-, commercially known as Wireless-Fidelity (Wi-Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly throughput h…