Aviad Cohen

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Nir NissimHead of the Malware-Lab, Ben-Gurion UniversityDirección de correo verificada de post.bgu.ac.il
Yuval EloviciHead of Cyber@BGU, Director of Telekom Innovation Laboratories at BGU, Ben Gurion UniversityDirección de correo verificada de bgu.ac.il
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevDirección de correo verificada de bgu.ac.il
Robert MoskovitchSoftware and Information Systems Engineering, Ben Gurion University of the NegevDirección de correo verificada de columbia.edu
Asaf ShabtaiSoftware and Information Systems Engineering, Telekom Innovation Labs, Ben Gurion UniversityDirección de correo verificada de bgu.ac.il
Daniel NahmiasBen Gurion University of the NegevDirección de correo verificada de post.bgu.ac.il
Trivikram MuralidharanBen-Gurion University of the NegevDirección de correo verificada de post.bgu.ac.il
Assaf CohenM.Sc. @ BGUDirección de correo verificada de post.bgu.ac.il
Andrea LanziAssociate Professor at Department Computer Science at University of MilanDirección de correo verificada de unimi.it
Jian WuAssistant Professor of Computer Science, Old Dominion UniversityDirección de correo verificada de cs.odu.edu
Omri LahavM.Sc. Software EngineeringDirección de correo verificada de post.bgu.ac.il
Ofir LandauBen-Gurion UniversityDirección de correo verificada de post.bgu.ac.il
Yuval ShaharProfessor of software and information systems engineering, Ben Gurion UniversityDirección de correo verificada de bgu.ac.il
Matan KintzlingerResearcher at the Malware-Lab at the Cyber Security Research Center at Ben Gurion UniversityDirección de correo verificada de post.bgu.ac.il
Amos KatzProfessor (MD) of Cardiology, Ben-Gurion University of the NegevDirección de correo verificada de bgu.ac.il
Ori Or-MeirBen Gurion UniversityDirección de correo verificada de post.bgu.ac.il
C Lee GilesPennsylvania State UniversityDirección de correo verificada de psu.edu
Ariel FelnerBen-Gurion UniversityDirección de correo verificada de bgu.ac.il
Bracha ShapiraBen-Gurion University of the NegevDirección de correo verificada de bgu.ac.il
Yisroel MirskyBen-Gurion UniversityDirección de correo verificada de bgu.ac.il

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Aviad Cohen

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

Dirección de correo verificada de post.bgu.ac.il - Página principal

Data Science Artificial Intelligence Machine Learning Cyber Security


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	125	2015
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	120	2018
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	107	2016
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	79	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	54	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	48	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	46	2020
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, 1-20, 2016	44	2016
MalJPEG: Machine learning based solution for the detection of malicious JPEG images A Cohen, N Nissim, Y Elovici IEEE Access 8, 19997-20011, 2020	42	2020
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	42	2018
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	31	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	31	2019
File packing from the malware perspective: techniques, analysis approaches, and directions for enhancements T Muralidharan, A Cohen, N Gerson, N Nissim ACM Computing Surveys 55 (5), 1-45, 2022	28	2022
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	28	2019
The infinite race between steganography and steganalysis in images T Muralidharan, A Cohen, A Cohen, N Nissim Signal Processing 201, 108711, 2022	25	2022
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	19	2020
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	19	2020
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	17	2019
Pay attention: Improving classification of PE malware using attention mechanisms based on system call analysis O Or-Meir, A Cohen, Y Elovici, L Rokach, N Nissim 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021	12	2021
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	12	2015

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