Sajad Homayoun

According to our database, Sajad Homayoun authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unmasking phishers: ML for malicious certificate detection.

Magnea Haraldsdóttir, Sajad Homayoun, Emil Lynge, Christan D. Jensen

Comput. Ind. Eng., 2024

2023

Explainable Artificial Intelligence to Enhance Data Trustworthiness in Crowd-Sensing Systems.

Sam Afzal-Houshmand, Dimitrios Papamartzivanos, Sajad Homayoun, Entso Veliou, Christian Damsgaard Jensen, Athanasios Voulodimos, Thanassis Giannetsos

Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

2022

Detecting Ambiguous Phishing Certificates using Machine Learning.

Sajad Homayoun, Kaspar Hageman, Sam Afzal-Houshmand, Christian Damsgaard Jensen, Jens Myrup Pedersen

Proceedings of the International Conference on Information Networking, 2022

2021

An Architecture for Processing a Dynamic Heterogeneous Information Network of Security Intelligence.

Marios Anagnostopoulos, Egon Kidmose, Amine Laghaout, Rasmus L. Olsen, Sajad Homayoun, Christian Damsgaard Jensen, Jens Myrup Pedersen

Proceedings of the Network and System Security - 15th International Conference, 2021

A Perfect Match: Deep Learning Towards Enhanced Data Trustworthiness in Crowd-Sensing Systems.

Sam Afzal-Houshmand, Sajad Homayoun, Thanassis Giannetsos

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

2020

A multiview learning method for malware threat hunting: windows, IoT and android as case studies.

Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Mohammad Taheri, Amin Azmoodeh, Sajad Homayoun, Kim-Kwang Raymond Choo, Reza M. Parizi

World Wide Web, 2020

Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence.

Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami

IEEE Trans. Emerg. Top. Comput., 2020

Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis.

Hamid Darabian, Sajad Homayoun, Ali Dehghantanha, Sattar Hashemi, Hadis Karimipour, Reza M. Parizi, Kim-Kwang Raymond Choo

J. Grid Comput., 2020

An opcode-based technique for polymorphic Internet of Things malware detection.

Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Sajad Homayoun, Kim-Kwang Raymond Choo

Concurr. Comput. Pract. Exp., 2020

2019

DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer.

Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami, Kim-Kwang Raymond Choo, David Ellis Newton

Future Gener. Comput. Syst., 2019

Integrating Privacy Enhancing Techniques into Blockchains Using Sidechains.

Reza M. Parizi, Sajad Homayoun, Abbas Yazdinejad, Ali Dehghantanha, Kim-Kwang Raymond Choo

Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores.

Sajad Homayoun, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo

Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

Private Cloud Storage Forensics: Seafile as a Case Study.

Yee-Yang Teing, Sajad Homayoun, Ali Dehghantanha, Kim-Kwang Raymond Choo, Reza M. Parizi, Mohammad Hammoudeh, Gregory Epiphaniou

Proceedings of the Handbook of Big Data and IoT Security, 2019