ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. - Nir Nissim; Aviad Cohen 002; Robert Moskovitch; Asaf Shabtai; Mattan Edry; Oren Bar-Ad; Yuval Elovici (JISIC, 2014)

Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. - Nir Nissim; Aviad Cohen 002; Yuval Elovici (ICMLA, 2015)

Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. - Yisroel Mirsky; Aviad Cohen 002; Roni Stern; Ariel Felner; Lior Rokach; Yuval Elovici; Bracha Shapira (SOCS, 2015)

Detection of malicious PDF files and directions for enhancements: A state-of-the art survey. - Nir Nissim; Aviad Cohen 002; Chanan Glezer; Yuval Elovici (Comput. Secur., 2015)

SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. - Aviad Cohen 002; Nir Nissim; Lior Rokach; Yuval Elovici (Expert Syst. Appl., 2016)

Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework. - Nir Nissim; Aviad Cohen 002; Robert Moskovitch; Asaf Shabtai; Matan Edri; Oren Bar-Ad; Yuval Elovici (Secur. Informatics, 2016)

Scholarly Digital Libraries as a Platform for Malware Distribution. - Nir Nissim; Aviad Cohen 002; Jian Wu 006; Andrea Lanzi; Lior Rokach; Yuval Elovici; C. Lee Giles (SG-CRC, 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 002; Yuval Elovici (IEEE Trans. Inf. Forensics Secur., 2017)

Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory. - Aviad Cohen 002; Nir Nissim (Expert Syst. Appl., 2018)

Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods. - Aviad Cohen 002; Nir Nissim; Yuval Elovici (Expert Syst. Appl., 2018)

Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining. - Nir Nissim; Yuval Lapidot; Aviad Cohen 002; Yuval Elovici (Knowl. Based Syst., 2018)

TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. - Daniel Nahmias; Aviad Cohen 002; Nir Nissim; Yuval Elovici (IJCNN, 2019)

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. - Nir Nissim; Aviad Cohen 002; Jian Wu 006; Andrea Lanzi; Lior Rokach; Yuval Elovici; C. Lee Giles (IEEE Access, 2019)

Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. - Nir Nissim; Omri Lahav; Aviad Cohen 002; Yuval Elovici; Lior Rokach (Comput. Secur., 2019)

MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images. - Aviad Cohen 002; Nir Nissim; Yuval Elovici (IEEE Access, 2020)

CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices. - Matan Kintzlinger; Aviad Cohen 002; Nir Nissim; Moshe Rav-Acha; Vladimir Khalameizer; Yuval Elovici; Yuval Shahar; Amos Katz (IEEE Access, 2020)

Mind your privacy: Privacy leakage through BCI applications using machine learning methods. - Ofir Landau; Aviad Cohen 002; Shirley Gordon; Nir Nissim (Knowl. Based Syst., 2020)

ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks. - Assaf Cohen; Aviad Cohen 002; Nir Nissim (Neural Networks, 2020)

Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments. - Daniel Nahmias; Aviad Cohen 002; Nir Nissim; Yuval Elovici (Neural Networks, 2020)

Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. - Ori Or-Meir; Aviad Cohen 002; Yuval Elovici; Lior Rokach; Nir Nissim (IJCNN, 2021)

The infinite race between steganography and steganalysis in images. - Trivikram Muralidharan; Aviad Cohen 002; Assaf Cohen; Nir Nissim (Signal Process., 2022)

File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements. - Trivikram Muralidharan; Aviad Cohen 002; Noa Gerson; Nir Nissim (ACM Comput. Surv., 2023)

Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms. - Tal Tsafrir; Aviad Cohen 002; Etay Nir; Nir Nissim (Expert Syst. Appl., 2023)

MinCloud: Trusted and transferable MinHash-based framework for unknown malware detection for Linux cloud environments. - Tomer Panker; Aviad Cohen 002; Tom Landman; Chen Bery; Nir Nissim (J. Inf. Secur. Appl., 2024)