Aviad Cohen

Cited by

	All	Since 2016
Citations	411	397
h-index	9	9
i10-index	9	9

140

105

201520162017201820192020202110 19 34 62 102 134 44

Public access

View all

1 article

0 articles

available

not available

Based on funding mandates

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
Omri LahavM.Sc. Software EngineeringVerified email at post.bgu.ac.il
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
C Lee GilesPennsylvania State UniversityVerified email at psu.edu
Roni SternBen Gurion University of the Negev, Palo Alto Research Center (PARC)Verified email at post.bgu.ac.il
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	81	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	61	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	46	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	45	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	41	2014
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	27	2018
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), 1-20, 2016	26	2016
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	21	2018
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	11	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	9	2019
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	9	2019
Mind your privacy: Privacy leakage through BCI applications using machine learning methods O Landau, A Cohen, S Gordon, N Nissim Knowledge-Based Systems 198, 105932, 2020	7	2020
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
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	6	2019
Maljpeg: Machine learning based solution for the detection of malicious jpeg images A Cohen, N Nissim, Y Elovici IEEE Access 8, 19997-20011, 2020	5	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	3	2017
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
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	2	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	1	2020

The system can't perform the operation now. Try again later.

Articles 1–19

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors