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20212025
most citedMachine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats

154 citations · 292 across the 22 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CV2022

Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition

Bin Xiao, Yakup Akkaya, Murat Simsek +2

The global Information and Communications Technology (ICT) supply chain is a complex network consisting of all types of participants. It is often formulated as a Social Network to…

cs.CV2022★ 3 cited

Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach

Bin Xiao, Murat Simsek, Burak Kantarci +1

Due to the characteristics of Information and Communications Technology (ICT) products, the critical information of ICT devices is often summarized in big tabular data shared acros…

cs.CR2022★ 35 cited

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…

cs.CR2022★ 12 cited

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…

cs.CR2022★ 154 cited

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…

cs.CV2022★ 9 cited

Table Structure Recognition with Conditional Attention

Bin Xiao, Murat Simsek, Burak Kantarci +1

Tabular data in digital documents is widely used to express compact and important information for readers. However, it is challenging to parse tables from unstructured digital docu…

cs.NE2022★ 7 cited

Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing

Murat Simsek, Burak Kantarci, Azzedine Boukerche

Mobile Crowdsensing (MCS) is a sensing paradigm that has transformed the way that various service providers collect, process, and analyze data. MCS offers novel processes where dat…