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Sajad Homayoun
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2020 – today
- 2024
- [j6]Magnea Haraldsdóttir, Sajad Homayoun
, Emil Lynge, Christan D. Jensen:
Unmasking phishers: ML for malicious certificate detection. Comput. Ind. Eng. 198: 110652 (2024) - 2023
- [c6]Sam Afzal-Houshmand, Dimitrios Papamartzivanos, Sajad Homayoun
Explainable Artificial Intelligence to Enhance Data Trustworthiness in Crowd-Sensing Systems. DCOSS-IoT 2023: 568-576 - 2022
- [c5]Sajad Homayoun
Detecting Ambiguous Phishing Certificates using Machine Learning. ICOIN 2022: 1-6 - 2021
- [c4]Sam Afzal-Houshmand, Sajad Homayoun, Thanassis Giannetsos:
A Perfect Match: Deep Learning Towards Enhanced Data Trustworthiness in Crowd-Sensing Systems. MeditCom 2021: 258-264 - [c3]Marios Anagnostopoulos
An Architecture for Processing a Dynamic Heterogeneous Information Network of Security Intelligence. NSS 2021: 185-201 - 2020
- [j5]Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Sajad Homayoun
An opcode-based technique for polymorphic Internet of Things malware detection. Concurr. Comput. Pract. Exp. 32(6) (2020) - [j4]Hamid Darabian, Sajad Homayoun
Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis. J. Grid Comput. 18(2): 293-303 (2020) - [j3]Sajad Homayoun
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. IEEE Trans. Emerg. Top. Comput. 8(2): 341-351 (2020) - [j2]Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Mohammad Taheri
A multiview learning method for malware threat hunting: windows, IoT and android as case studies. World Wide Web 23(2): 1241-1260 (2020)
2010 – 2019
- 2019
- [j1]Sajad Homayoun
DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer. Future Gener. Comput. Syst. 90: 94-104 (2019) - [c2]Sajad Homayoun
A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores. CCECE 2019: 1-4 - [c1]Reza M. Parizi, Sajad Homayoun
Integrating Privacy Enhancing Techniques into Blockchains Using Sidechains. CCECE 2019: 1-4 - [p1]Yee-Yang Teing, Sajad Homayoun
Private Cloud Storage Forensics: Seafile as a Case Study. Handbook of Big Data and IoT Security 2019: 73-127 - [i3]Sajad Homayoun, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo:
A Blockchain-based Framework for Detecting Malicious Mobile Applications in App Stores. CoRR abs/1906.04951 (2019) - [i2]Reza M. Parizi, Sajad Homayoun, Abbas Yazdinejad, Ali Dehghantanha, Kim-Kwang Raymond Choo:
Integrating Privacy Enhancing Techniques into Blockchains Using Sidechains. CoRR abs/1906.04953 (2019) - 2018
- [i1]Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami:
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. CoRR abs/1808.01957 (2018)
Coauthor Index
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