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 (Handbook of Big Data and IoT Security, 2019)

A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores. - Sajad Homayoun; Ali Dehghantanha; Reza M. Parizi; Kim-Kwang Raymond Choo (CCECE, 2019)

Integrating Privacy Enhancing Techniques into Blockchains Using Sidechains. - Reza M. Parizi; Sajad Homayoun; Abbas Yazdinejad; Ali Dehghantanha; Kim-Kwang Raymond Choo (CCECE, 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)

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)

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)

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)

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)

A Perfect Match: Deep Learning Towards Enhanced Data Trustworthiness in Crowd-Sensing Systems. - Sam Afzal-Houshmand; Sajad Homayoun; Thanassis Giannetsos (MeditCom, 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 (NSS, 2021)

Detecting Ambiguous Phishing Certificates using Machine Learning. - Sajad Homayoun; Kaspar Hageman; Sam Afzal-Houshmand; Christian Damsgaard Jensen; Jens Myrup Pedersen (ICOIN, 2022)

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 (DCOSS-IoT, 2023)

Unmasking phishers: ML for malicious certificate detection. - Magnea Haraldsdóttir; Sajad Homayoun; Emil Lynge; Christan D. Jensen (Comput. Ind. Eng., 2024)