Aviad Cohen - RankMe

24 papers B 3C 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	MinCloud: Trusted and transferable MinHash-based framework for unknown malware detection for Linux cloud environments. J. Inf. Secur. Appl. Tomer Panker, Aviad Cohen, Tom Landman, Chen Bery, Nir Nissim
2023	J	`jnl`	Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms. Expert Syst. Appl. Tal Tsafrir, Aviad Cohen, Etay Nir, Nir Nissim
2023	J	`jnl`	File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements. ACM Comput. Surv. Trivikram Muralidharan, Aviad Cohen, Noa Gerson, Nir Nissim
2022	J	`jnl`	The infinite race between steganography and steganalysis in images. Signal Process. Trivikram Muralidharan, Aviad Cohen, Assaf Cohen, Nir Nissim
2021	B	`conf`	Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim
2020	J	`jnl`	ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks. Neural Networks Assaf Cohen, Aviad Cohen, Nir Nissim
2020	J	`jnl`	CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices. IEEE Access Matan Kintzlinger, Aviad Cohen, Nir Nissim, Moshe Rav-Acha, Vladimir Khalameizer, Yuval Elovici, Yuval Shahar, Amos Katz
2020	J	`jnl`	Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments. Neural Networks Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici
2020	J	`jnl`	MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images. IEEE Access Aviad Cohen, Nir Nissim, Yuval Elovici
2020	J	`jnl`	Mind your privacy: Privacy leakage through BCI applications using machine learning methods. Knowl. Based Syst. Ofir Landau, Aviad Cohen, Shirley Gordon, Nir Nissim
2019	J	`jnl`	Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
2019	B	`conf`	TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. IJCNN Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici
2019	J	`jnl`	Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach
2018	J	`jnl`	Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods. Expert Syst. Appl. Aviad Cohen, Nir Nissim, Yuval Elovici
2018	J	`jnl`	Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory. Expert Syst. Appl. Aviad Cohen, Nir Nissim
2018	J	`jnl`	Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining. Knowl. Based Syst. Nir Nissim, Yuval Lapidot, Aviad Cohen, Yuval Elovici
2017	J	`jnl`	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. Nir Nissim, Aviad Cohen, Yuval Elovici
2017	—	`conf`	Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
2016	J	`jnl`	Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework. Secur. Informatics Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Matan Edri, Oren Bar-Ad, Yuval Elovici
2016	J	`jnl`	SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici
2015	C	`conf`	Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. ICMLA Nir Nissim, Aviad Cohen, Yuval Elovici
2015	J	`jnl`	Detection of malicious PDF files and directions for enhancements: A state-of-the art survey. Comput. Secur. Nir Nissim, Aviad Cohen, Chanan Glezer, Yuval Elovici
2015	B	`conf`	Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira
2014	—	`conf`	ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. JISIC Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici