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2020 – today
- 2024
[j2]Pejman Najafi
, Wenzel Pünter, Feng Cheng, Christoph Meinel:
You are your friends: Detecting malware via guilt-by-association and exempt-by-reputation. Comput. Secur. 136: 103519 (2024)- [j1]Pejman Najafi, Feng Cheng, Christoph Meinel:
HEOD: Human-assisted Ensemble Outlier Detection for cybersecurity. Comput. Secur. 146: 104040 (2024) - [i1]Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi, Feng Cheng, Christoph Meinel:
Large Language Models in Cybersecurity: State-of-the-Art. CoRR abs/2402.00891 (2024) - 2023
- [b1]Pejman Najafi:
Leveraging data science & engineering for advanced security operations. University of Potsdam, Germany, 2023 - 2022
- [c6]Mehryar Majd, Pejman Najafi, Seyed Ali Alhosseini, Feng Cheng, Christoph Meinel:
A Comprehensive Review of Anomaly Detection in Web Logs. BDCAT 2022: 158-165 - 2021
- [c5]Pejman Najafi, Daniel Köhler, Feng Cheng, Christoph Meinel:
NLP-based Entity Behavior Analytics for Malware Detection. IPCCC 2021: 1-5 - [c4]Pejman Najafi, Feng Cheng, Christoph Meinel:
SIEMA: Bringing Advanced Analytics to Legacy Security Information and Event Management. SecureComm (1) 2021: 25-43
2010 – 2019
- 2019
- [c3]Pejman Najafi, Alexander Mühle, Wenzel Pünter, Feng Cheng, Christoph Meinel:
MalRank: a measure of maliciousness in SIEM-based knowledge graphs. ACSAC 2019: 417-429 - [c2]Seyed Ali Alhosseini, Raad Bin Tareaf, Pejman Najafi, Christoph Meinel:
Detect Me If You Can: Spam Bot Detection Using Inductive Representation Learning. WWW (Companion Volume) 2019: 148-153 - 2017
- [c1]Pejman Najafi, Andrey Sapegin, Feng Cheng, Christoph Meinel:
Guilt-by-Association: Detecting Malicious Entities via Graph Mining. SecureComm 2017: 88-107
Coauthor Index
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