Aviad Cohen

According to our database, Aviad Cohen authored at least 23 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms.

Tal Tsafrir, Aviad Cohen, Etay Nir, Nir Nissim

Expert Syst. Appl., June, 2023

File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements.

Trivikram Muralidharan, Aviad Cohen, Noa Gerson, Nir Nissim

ACM Comput. Surv., 2023

2022

The infinite race between steganography and steganalysis in images.

Trivikram Muralidharan, Aviad Cohen, Assaf Cohen, Nir Nissim

Signal Process., 2022

2021

Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis.

Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments.

Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici

Neural Networks, 2020

ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks.

Assaf Cohen, Aviad Cohen, Nir Nissim

Neural Networks, 2020

Mind your privacy: Privacy leakage through BCI applications using machine learning methods.

Ofir Landau, Aviad Cohen, Shirley Gordon, Nir Nissim

Knowl. Based Syst., 2020

CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices.

Matan Kintzlinger, Aviad Cohen, Nir Nissim, Moshe Rav-Acha, Vladimir Khalameizer, Yuval Elovici, Yuval Shahar, Amos Katz

IEEE Access, 2020

MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images.

Aviad Cohen, Nir Nissim, Yuval Elovici

IEEE Access, 2020

2019

Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud.

Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach

Comput. Secur., 2019

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework.

Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles

IEEE Access, 2019

TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning.

Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining.

Nir Nissim, Yuval Lapidot, Aviad Cohen, Yuval Elovici

Knowl. Based Syst., 2018

Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods.

Aviad Cohen, Nir Nissim, Yuval Elovici

Expert Syst. Appl., 2018

Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory.

Aviad Cohen, Nir Nissim

Expert Syst. Appl., 2018

2017

ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology.

Nir Nissim, Aviad Cohen, Yuval Elovici

IEEE Trans. Inf. Forensics Secur., 2017

Scholarly Digital Libraries as a Platform for Malware Distribution.

Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles

Proceedings of the A Systems Approach to Cyber Security, 2017

2016

Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework.

Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Matan Edri, Oren Bar-Ad, Yuval Elovici

Secur. Informatics, 2016

SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods.

Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici

Expert Syst. Appl., 2016

2015

Detection of malicious PDF files and directions for enhancements: A state-of-the art survey.

Nir Nissim, Aviad Cohen, Chanan Glezer, Yuval Elovici

Comput. Secur., 2015

Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains.

Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira

Proceedings of the Eighth Annual Symposium on Combinatorial Search, 2015

Boosting the Detection of Malicious Documents Using Designated Active Learning Methods.

Nir Nissim, Aviad Cohen, Yuval Elovici

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files.

Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014