201 citations · 626 across the 22 of their papers we have counts for
26 papers
The Patchwork Problem in LLM-Generated Code
Viraaji Mothukuri, Reza M. Parizi
LLM-generated code often compiles, passes tests, and appears correct, yet breaks once deployed. The root cause is frequently structural rather than logical. A generated endpoint re…
Securing Cryptography in the Age of Quantum Computing and AI: Threats, Implementations, and Strategic Response
Viraaji Mothukuri, Reza M. Parizi
This review examines how quantum computing and artificial intelligence challenge current cryptographic systems. We analyze the literature to assess the resilience of algorithms aga…
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…
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…
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi +4
Cardiovascular diseases (CVD) are the leading cause of death globally, and early detection can significantly improve outcomes for patients. Machine learning (ML) models can help di…
AI in Software Engineering: A Survey on Project Management Applications
Talia Crawford, Scott Duong, Richard Fueston +5
Artificial Intelligence (AI) refers to the intelligence demonstrated by machines, and within the realm of AI, Machine Learning (ML) stands as a notable subset. ML employs algorithm…
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi +5
Advancements in wearable medical devices in IoT technology are shaping the modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT), we are witnessi…
Blockchain Education: Current State, Limitations, Career Scope, Challenges, and Future Directions
Rizwan Patan, Reza M. Parizi, Mohsen Dorodchi +2
Blockchain is a revolutionary technology, and its growth started in various industries (such as IT, education, business, banking, and many others) to capitalize on it. Currently, i…
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…
Fairness in Federated Learning for Spatial-Temporal Applications
Afra Mashhadi, Alex Kyllo, Reza M. Parizi
Federated learning involves training statistical models over remote devices such as mobile phones while keeping data localized. Training in heterogeneous and potentially massive ne…
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi +3
Federated Learning (FL) is known to perform Machine Learning tasks in a distributed manner. Over the years, this has become an emerging technology especially with various data prot…
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…
Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh +6
COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and p…
A Federated Approach for Fine-Grained Classification of Fashion Apparel
Tejaswini Mallavarapu, Luke Cranfill, Junggab Son +3
As online retail services proliferate and are pervasive in modern lives, applications for classifying fashion apparel features from image data are becoming more indispensable. Onli…
On Security Measures for Containerized Applications Imaged with Docker
Samuel P. Mullinix, Erikton Konomi, Renee Davis Townsend +1
Linux containers have risen in popularity in the last few years, making their way to commercial IT service offerings (such as PaaS), application deployments, and Continuous Deliver…
Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study
Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi +3
In recent years, the Internet of Things (IoT) has drawn convincing research ground as a new research topic in a wide variety of academic and industrial disciplines, especially in h…
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…
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…