Aviad Cohen
Aviad Cohen
Ph.D., Software and Information Systems Engineering in Ben-Gurion
Verified email at post.bgu.ac.il - Homepage
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
792015
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
582016
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
452018
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
422016
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
412014
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
242018
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
242016
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
202018
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
82019
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
72020
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
72015
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
62019
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
62019
Maljpeg: Machine learning based solution for the detection of malicious jpeg images
A Cohen, N Nissim, Y Elovici
IEEE Access 8, 19997-20011, 2020
42020
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
32020
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
32017
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
32015
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
12020
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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Articles 1–19