Aviad Cohen

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	All	Since 2015
Citations	344	342
h-index	8	8
i10-index	8	8

120

2015201620172018201920209 20 33 60 100 117

Co-authors

Nir NissimHead of the Malware-Lab, Ben-Gurion UniversityVerified email at post.bgu.ac.il
Yuval EloviciDirector of Telekom Innovation Laboratories at Ben Gurion UniversityVerified email at bgu.ac.il
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevVerified email at bgu.ac.il
Robert MoskovitchSoftware and Information Systems Engineering, Ben Gurion University of the NegevVerified email at columbia.edu
Asaf ShabtaiSoftware and Information Systems Engineering, Telekom Innovation Labs, Ben Gurion UniversityVerified email at bgu.ac.il
Daniel NahmiasBen Gurion University of the NegevVerified email at post.bgu.ac.il
Andrea LanziAssociate Professor at Department Computer Science at University of MilanVerified email at unimi.it
Jian WuAssistant Professor of Computer Science, Old Dominion UniversityVerified email at cs.odu.edu
Ariel FelnerBen-Gurion UniversityVerified email at bgu.ac.il
Bracha ShapiraBen-Gurion University of the NegevVerified email at bgu.ac.il
Yisroel MirskyGeorgia Institute of Technology (Georgia Tech) and Ben-Gurion UniversityVerified email at gatech.edu
Omri LahavM.Sc. Software EngineeringVerified email at post.bgu.ac.il
Roni SternBen Gurion University of the Negev, Palo Alto Research Center (PARC)Verified email at post.bgu.ac.il
C Lee GilesPennsylvania State UniversityVerified email at ist.psu.edu
Yuval ShaharProfessor of software and information systems engineering, Ben Gurion UniversityVerified email at bgu.ac.il
Matan KintzlingerResearcher at the Malware-Lab at the Cyber Security Research Center at Ben Gurion UniversityVerified email at post.bgu.ac.il
Assaf CohenM.Sc. @ BGUVerified email at post.bgu.ac.il
Jian WuWashington University in St. LouisVerified email at radonc.wustl.edu
Jian WuMicrosoft CorpVerified email at microsoft.com

Aviad Cohen

Ph.D., Software and Information Systems Engineering in Ben-Gurion

Verified email at post.bgu.ac.il - Homepage

Data Science Machine Learning Computer Security


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Detection of malicious PDF files and directions for enhancements: A state-of-the art survey N Nissim, A Cohen, C Glezer, Y Elovici Computers & Security 48, 246-266, 2015	77	2015
ALDOCX: detection of unknown malicious microsoft office documents using designated active learning methods based on new structural feature extraction methodology N Nissim, A Cohen, Y Elovici IEEE Transactions on Information Forensics and Security 12 (3), 631-646, 2016	52	2016
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory A Cohen, N Nissim Expert Systems with Applications 102, 158-178, 2018	42	2018
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods A Cohen, N Nissim, L Rokach, Y Elovici Expert Systems With Applications 63, 324-343, 2016	38	2016
Alpd: Active learning framework for enhancing the detection of malicious pdf files N Nissim, A Cohen, R Moskovitch, A Shabtai, M Edry, O Bar-Ad, Y Elovici 2014 IEEE Joint Intelligence and Security Informatics Conference, 91-98, 2014	37	2014
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework N Nissim, A Cohen, R Moskovitch, A Shabtai, M Edri, O BarAd, Y Elovici Security Informatics 5 (1), 1, 2016	24	2016
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining N Nissim, Y Lapidot, A Cohen, Y Elovici Knowledge-Based Systems 153, 147-175, 2018	21	2018
Novel Set of General Descriptive Features For Enhanced Detection of Malicious Emails Using Machine Learning Methods A Cohen, N Nissim, Y Elovici Expert Systems with Applications, 2018	18	2018
Boosting the detection of malicious documents using designated active learning methods N Nissim, A Cohen, Y Elovici 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015	7	2015
TrustSign: Trusted malware signature generation in private clouds using deep feature transfer learning D Nahmias, A Cohen, N Nissim, Y Elovici 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019	6	2019
Sec-lib: Protecting scholarly digital libraries from infected papers using active machine learning framework N Nissim, A Cohen, J Wu, A Lanzi, L Rokach, Y Elovici, L Giles IEEE Access 7, 110050-110073, 2019	5	2019
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments D Nahmias, A Cohen, N Nissim, Y Elovici Neural Networks 124, 243-257, 2020	3	2020
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images A Cohen, N Nissim, Y Elovici IEEE Access 8, 19997-20011, 2020	3	2020
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud N Nissim, O Lahav, A Cohen, Y Elovici, L Rokach Computers & Security 87, 101590, 2019	3	2019
Search problems in the domain of multiplication: Case study on anomaly detection using markov chains Y Mirsky, A Cohen, R Stern, A Felner, L Rokack, Y Elovici, B Shapira Eighth Annual Symposium on Combinatorial Search, 2015	3	2015
Mind your privacy: Privacy leakage through BCI applications using machine learning methods O Landau, A Cohen, S Gordon, N Nissim Knowledge-Based Systems, 105932, 2020	2	2020
Scholarly Digital Libraries as a Platform for Malware Distribution. N Nissim, A Cohen, J Wu, A Lanzi, L Rokach, Y Elovici, CL Giles SG-CRC, 107-128, 2017	2	2017
CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices M Kintzlinger, A Cohen, N Nissim, M Rav-Acha, V Khalameizer, Y Elovici, ... IEEE Access 8, 48123-48140, 2020	1	2020
ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks A Cohen, A Cohen, N Nissim Neural Networks 131, 64-77, 2020		2020

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