Nir Nissim - RankMe

62 papers A* 2B 3C 4Misc 1Journal 49Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DLLicious: detection and explainability of malicious DLL files using novel static feature extraction methods. Expert Syst. Appl. Alexander Yevsikov, Nir Nissim
2025	J	`jnl`	Can your brain signals reveal your romantic emotions? Comput. Biol. Medicine Dor Zazon, Nir Nissim
2025	A*	`conf`	Improving Generalization Capabilities of Models Trained on Time Series Data Using Novel Downsampling Methods. ICDM Ofir Landau, Nir Nissim
2025	J	`jnl`	Improving speech emotion recognition capabilities in the short and long term using temporal bucketing and active learning. Comput. Biol. Medicine Itzik Gurowiec, Nir Nissim
2025	J	`jnl`	Mining multi-electrode and multi-wave electroencephalogram based time-interval temporal patterns for improved classification capabilities and explainability. Artif. Intell. Medicine Ofir Landau, Nir Nissim
2025	J	`jnl`	Securing Linux Cloud Environments: Privacy-Aware Federated Learning Framework for Advanced Malware Detection in Linux Clouds. IEEE Access Tom Landman, Nir Nissim
2024	J	`jnl`	Bon-APT: Detection, attribution, and explainability of APT malware using temporal segmentation of API calls. Comput. Secur. Gil Shenderovitz, Nir Nissim
2024	J	`jnl`	CADefender: Detection of unknown malicious AutoLISP computer-aided design files using designated feature extraction and machine learning methods. Eng. Appl. Artif. Intell. Alexander Yevsikov, Trivikram Muralidharan, Tomer Panker, Nir Nissim
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
2024	J	`jnl`	Patterns of time-interval based patterns for improved multivariate time series data classification. Eng. Appl. Artif. Intell. Gil Shenderovitz, Eitam Sheetrit, Nir Nissim
2024	J	`jnl`	Speech emotion recognition systems and their security aspects. Artif. Intell. Rev. Itzik Gurowiec, Nir Nissim
2023	J	`jnl`	Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods. Decis. Support Syst. Dor Zazon, Lior Fink, Shirley Gordon, 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
2023	J	`jnl`	Improving malicious email detection through novel designated deep-learning architectures utilizing entire email. Neural Networks Trivikram Muralidharan, Nir Nissim
2022	J	`jnl`	A time-interval-based active learning framework for enhanced PE malware acquisition and detection. Comput. Secur. Ido Finder, Eitam Sheetrit, Nir Nissim
2022	J	`jnl`	Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms. J. Biomed. Informatics Tamar Levy-Loboda, Eitam Sheetrit, Idit F. Liberty, Alon Haim, Nir Nissim
2022	J	`jnl`	The infinite race between steganography and steganalysis in images. Signal Process. Trivikram Muralidharan, Aviad Cohen, Assaf Cohen, Nir Nissim
2022	J	`jnl`	Time-interval temporal patterns can beat and explain the malware. Knowl. Based Syst. Ido Finder, Eitam Sheetrit, Nir Nissim
2021	J	`jnl`	Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework. Artif. Intell. Medicine Tamar Levy-Loboda, Moshe Rav-Acha, Amos Katz, Nir Nissim
2021	J	`jnl`	Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments. Neural Networks Tom Landman, Nir Nissim
2021	J	`jnl`	Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments. Knowl. Based Syst. Tomer Panker, Nir Nissim
2021	J	`jnl`	Mind Your Mind: EEG-Based Brain-Computer Interfaces and Their Security in Cyber Space. ACM Comput. Surv. Ofir Landau, Rami Puzis, 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
2020	J	`jnl`	SEC-C-U: The Security of Intensive Care Unit Medical Devices and Their Ecosystems. IEEE Access Carmel Eliash, Isaac Lazar, Nir Nissim
2019	J	`jnl`	Dynamic Malware Analysis in the Modern Era - A State of the Art Survey. ACM Comput. Surv. Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach
2019	J	`jnl`	Keep an eye on your personal belongings! The security of personal medical devices and their ecosystems. J. Biomed. Informatics Matan Kintzlinger, Nir Nissim
2019	J	`jnl`	Malboard: A novel user keystroke impersonation attack and trusted detection framework based on side-channel analysis. Comput. Secur. Nitzan Farhi, Nir Nissim, Yuval Elovici
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	A*	`conf`	Temporal Probabilistic Profiles for Sepsis Prediction in the ICU. KDD Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar
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`	Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices. CoRR Tom Mahler, Nir Nissim, Erez Shalom, Israel Goldenberg, Guy Hasman, Arnon Makori, Itzik Kochav, Yuval Elovici, Yuval Shahar
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	J	`jnl`	Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif. Intell. Medicine Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch
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
2017	J	`jnl`	Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients. CoRR Eitam Sheetrit, Nir Nissim, Denis Klimov, Lior Fuchs, Yuval Elovici, Yuval Shahar
2017	J	`jnl`	USB-based attacks. Comput. Secur. Nir Nissim, Ran Yahalom, Yuval Elovici
2016	J	`jnl`	ALDROID: efficient update of Android anti-virus software using designated active learning methods. Knowl. Inf. Syst. Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici
2016	J	`jnl`	Improving condition severity classification with an efficient active learning based framework. J. Biomed. Informatics Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch
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	B	`conf`	An Active Learning Framework for Efficient Condition Severity Classification. AIME Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak
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
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
2014	J	`jnl`	Novel active learning methods for enhanced PC malware detection in windows OS. Expert Syst. Appl. Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
2012	J	`jnl`	Detecting unknown computer worm activity via support vector machines and active learning. Pattern Anal. Appl. Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
2009	J	`jnl`	Unknown malcode detection and the imbalance problem. J. Comput. Virol. Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici
2008	C	`conf`	Active learning to improve the detection of unknown computer worms activity. FUSION Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici
2008	—	`conf`	Malicious Code Detection Using Active Learning. PinKDD Robert Moskovitch, Nir Nissim, Yuval Elovici
2008	C	`conf`	Unknown malcode detection via text categorization and the imbalance problem. ISI Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici
2007	Misc	`conf`	Improving the Detection of Unknown Computer Worms Activity Using Active Learning. KI Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici
2007	C	`conf`	Malicious Code Detection and Acquisition Using Active Learning. ISI Robert Moskovitch, Nir Nissim, Yuval Elovici