719 citations · 2.8k across the 45 of their papers we have counts for
50 papers
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…
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…
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…
Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks
Ehsan Nowroozi, Samaneh Ghelichkhani, Imran Haider +1
Convolutional neural networks (CNNs) models play a vital role in achieving state-of-the-art performances in various technological fields. CNNs are not limited to Natural Language P…
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…
Machine Learning in Digital Forensics: A Systematic Literature Review
Tahereh Nayerifard, Haleh Amintoosi, Abbas Ghaemi Bafghi +1
Development and exploitation of technology have led to the further expansion and complexity of digital crimes. On the other hand, the growing volume of data and, subsequently, evid…
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh, Ali Dehghantanha
According to the 2020 cyber threat defence report, 78% of Canadian organizations experienced at least one successful cyberattack in 2020. The consequences of such attacks vary from…
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…
Crypto Makes AI Evolve
Behrouz Zolfaghari, Elnaz Rabieinejad, Abbas Yazdinejad +2
Adopting cryptography has given rise to a significant evolution in Artificial Intelligence (AI). This paper studies the path and stages of this evolution. We start with reviewing e…
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…
Communication Layer Security in Smart Farming: A Survey on Wireless Technologies
Hossein Mohammadi Rouzbahani, Hadis Karimipour, Evan Fraser +4
Human population growth has driven rising demand for food that has, in turn, imposed huge impacts on the environment. In an effort to reconcile our need to produce more sustenance…
Cybersecurity in Smart Farming: Canada Market Research
Ali Dehghantanha, Hadis Karimipour, Amin Azmoodeh
The Cyber Science Lab (CSL) and Smart Cyber-Physical System (SCPS) Lab at the University of Guelph conduct a market study of cybersecurity technology adoption and requirements for…
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Ehsan Nowroozi, Ali Dehghantanha, Reza M. Parizi +1
Image forensic plays a crucial role in both criminal investigations (e.g., dissemination of fake images to spread racial hate or false narratives about specific ethnicity groups) a…
An Ensemble Deep Learning-based Cyber-Attack Detection in Industrial Control System
Abdulrahman Al-Abassi, Hadis Karimipour, Ali Dehghantanha +1
The integration of communication networks and the Internet of Things (IoT) in Industrial Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing devasta…
Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey
Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha +2
The integration of sensors and communication technology in power systems, known as the smart grid, is an emerging topic in science and technology. One of the critical issues in the…
Blockchain Applications in Power Systems: A Bibliometric Analysis
Hossein Mohammadi Rouzbahani, Hadis Karimipour, Ali Dehghantanha +1
Power systems are growing rapidly, due to the ever-increasing demand for electrical power. These systems require novel methodologies and modern tools and technologies, to better pe…
Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection
Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha
False Data Injection (FDI) attacks are a common form of Cyber-attack targetting smart grids. Detection of stealthy FDI attacks is impossible by the current bad data detection syste…
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…
A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores
Sajad Homayoun, Ali Dehghantanha, Reza M. Parizi +1
The dramatic growth in smartphone malware shows that malicious program developers are shifting from traditional PC systems to smartphone devices. Therefore, security researchers ar…
Blockchain-enabled Authentication Handover with Efficient Privacy Protection in SDN-based 5G Networks
Abbas Yazdinejad, Reza M. Parizi, Ali Dehghantanha +1
5G mobile networks provide additional benefits in terms of lower latency, higher data rates, and more coverage, in comparison to 4G networks, and they are also coming close to stan…
Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains
Reza M. Parizi, Ali Dehghantanha, Kim-Kwang Raymond Choo +1
The emerging blockchain technology supports decentralized computing paradigm shift and is a rapidly approaching phenomenon. While blockchain is thought primarily as the basis of Bi…
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence
Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh +2
Emergence of crypto-ransomware has significantly changed the cyber threat landscape. A crypto ransomware removes data custodian access by encrypting valuable data on victims' compu…
Non-Reciprocity Compensation Combined with Turbo Codes for Secret Key Generation in Vehicular Ad Hoc Social IoT Networks
Gregory Epiphaniou, Petros Karadimas, Dhouha Kbaier Ben Ismail +3
The physical attributes of the dynamic vehicle-to-vehicle (V2V) propagation channel can be utilised for the generation of highly random and symmetric cryptographic keys. However, i…
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Andrii Shalaginov, Sergii Banin, Ali Dehghantanha +1
Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-b…