Aviad Cohen

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 22

Top Topics

Anomaly Detection

Top Venues

Expert Syst. Appl.

Publications

Tal Tsafrir, Aviad Cohen, Etay Nir, Nir Nissim
Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms. Expert Syst. Appl. 219 (2023)
Trivikram Muralidharan, Aviad Cohen, Noa Gerson, Nir Nissim
File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements. ACM Comput. Surv. 55 (5) (2023)
Trivikram Muralidharan, Aviad Cohen, Assaf Cohen, Nir Nissim
The infinite race between steganography and steganalysis in images. Signal Process. 201 (2022)
Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN (2021)
Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments. Neural Networks 124 (2020)
Assaf Cohen, Aviad Cohen, Nir Nissim
ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks. Neural Networks 131 (2020)
Matan Kintzlinger, Aviad Cohen, Nir Nissim, Moshe Rav-Acha, Vladimir Khalameizer, Yuval Elovici, Yuval Shahar, Amos Katz
CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices. IEEE Access 8 (2020)
Ofir Landau, Aviad Cohen, Shirley Gordon, Nir Nissim
Mind your privacy: Privacy leakage through BCI applications using machine learning methods. Knowl. Based Syst. 198 (2020)
Aviad Cohen, Nir Nissim, Yuval Elovici
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images. IEEE Access 8 (2020)
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access 7 (2019)
Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici
TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. IJCNN (2019)
Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. 87 (2019)
Nir Nissim, Yuval Lapidot, Aviad Cohen, Yuval Elovici
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining. Knowl. Based Syst. 153 (2018)
Aviad Cohen, Nir Nissim
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory. Expert Syst. Appl. 102 (2018)
Aviad Cohen, Nir Nissim, Yuval Elovici
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods. Expert Syst. Appl. 110 (2018)
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC (2017)
Nir Nissim, Aviad Cohen, Yuval Elovici
ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology. IEEE Trans. Inf. Forensics Secur. 12 (3) (2017)
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Matan Edri, Oren Bar-Ad, Yuval Elovici
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework. Secur. Informatics 5 (1) (2016)
Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. 63 (2016)
Nir Nissim, Aviad Cohen, Yuval Elovici
Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. ICMLA (2015)
Nir Nissim, Aviad Cohen, Chanan Glezer, Yuval Elovici
Detection of malicious PDF files and directions for enhancements: A state-of-the art survey. Comput. Secur. 48 (2015)
Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira
Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS (2015)
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. JISIC (2014)