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20192025
most citedBlock Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

201 citations · 424 across the 10 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2025★ 32 cited

Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses

Mohammed Aledhari, Rehma Razzak, Mohamed Rahouti +6

The advancements in autonomous driving technology, coupled with the growing interest from automotive manufacturers and tech companies, suggest a rising adoption of Connected Autono…

cs.CR2025★ 2 cited

Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards

Keerthana Madhavan, Abbas Yazdinejad, Fattane Zarrinkalam +1

As AI systems integrate into critical infrastructure, security gaps in AI compliance frameworks demand urgent attention. This paper audits and quantifies security risks in three ma…

cs.CR2024★ 10 cited

P3GNN: A Privacy-Preserving Provenance Graph-Based Model for APT Detection in Software Defined Networking

Hedyeh Nazari, Abbas Yazdinejad, Ali Dehghantanha +2

Software Defined Networking (SDN) has brought significant advancements in network management and programmability. However, this evolution has also heightened vulnerability to Advan…

cs.CR2024★ 3 cited

A Federated Learning Approach for Multi-stage Threat Analysis in Advanced Persistent Threat Campaigns

Florian Nelles, Abbas Yazdinejad, Ali Dehghantanha +2

Multi-stage threats like advanced persistent threats (APT) pose severe risks by stealing data and destroying infrastructure, with detection being challenging. APTs use novel attack…

cs.CR2023★ 2 cited

Systemization of Knowledge (SoK)- Cross Impact of Transfer Learning in Cybersecurity: Offensive, Defensive and Threat Intelligence Perspectives

Sofiya Makar, Ali Dehghantanha, Fattane Zarrinkalam +2

Recent literature highlights a significant cross-impact between transfer learning and cybersecurity. Many studies have been conducted on using transfer learning to enhance security…

cs.CR2022★ 16 cited

The Dichotomy of Cloud and IoT: Cloud-Assisted IoT From a Security Perspective

Behrouz Zolfaghari, Abbas Yazdinejad, Ali Dehghantanha +2

In recent years, the existence of a significant cross-impact between Cloud computing and Internet of Things (IoT) has lead to a dichotomy that gives raise to Cloud-Assisted IoT (CA…

cs.CR2022★ 201 cited

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi +3

Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-base…

cs.CR2019

Integrating Privacy Enhancing Techniques into Blockchains Using Sidechains

Reza M. Parizi, Sajad Homayoun, Abbas Yazdinejad +2

Blockchains are turning into decentralized computing platforms and are getting worldwide recognition for their unique advantages. There is an emerging trend beyond payments that bl…