Nir Nissim

According to our database, Nir Nissim authored at least 56 papers between 2007 and 2024.

Collaborative distances:

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

2024

Speech emotion recognition systems and their security aspects.

Itzik Gurowiec, Nir Nissim

Artif. Intell. Rev., June, 2024

MinCloud: Trusted and transferable MinHash-based framework for unknown malware detection for Linux cloud environments.

Tomer Panker, Aviad Cohen, Tom Landman, Chen Bery, Nir Nissim

J. Inf. Secur. Appl., 2024

CADefender: Detection of unknown malicious AutoLISP computer-aided design files using designated feature extraction and machine learning methods.

Alexander Yevsikov, Trivikram Muralidharan, Tomer Panker, Nir Nissim

Eng. Appl. Artif. Intell., 2024

Patterns of time-interval based patterns for improved multivariate time series data classification.

Gil Shenderovitz, Eitam Sheetrit, Nir Nissim

Eng. Appl. Artif. Intell., 2024

Bon-APT: Detection, attribution, and explainability of APT malware using temporal segmentation of API calls.

Gil Shenderovitz, Nir Nissim

Comput. Secur., 2024

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

Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods.

Dor Zazon, Lior Fink, Shirley Gordon, Nir Nissim

Decis. Support Syst., May, 2023

Improving malicious email detection through novel designated deep-learning architectures utilizing entire email.

Trivikram Muralidharan, Nir Nissim

Neural Networks, 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

Time-interval temporal patterns can beat and explain the malware.

Ido Finder, Eitam Sheetrit, Nir Nissim

Knowl. Based Syst., 2022

Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms.

Tamar Levy-Loboda, Eitam Sheetrit, Idit F. Liberty, Alon Haim, Nir Nissim

J. Biomed. Informatics, 2022

A time-interval-based active learning framework for enhanced PE malware acquisition and detection.

Ido Finder, Eitam Sheetrit, Nir Nissim

Comput. Secur., 2022

2021

Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments.

Tom Landman, Nir Nissim

Neural Networks, 2021

Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments.

Tomer Panker, Nir Nissim

Knowl. Based Syst., 2021

Mind Your Mind: EEG-Based Brain-Computer Interfaces and Their Security in Cyber Space.

Ofir Landau, Rami Puzis, Nir Nissim

ACM Comput. Surv., 2021

Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework.

Tamar Levy-Loboda, Moshe Rav-Acha, Amos Katz, Nir Nissim

Artif. Intell. Medicine, 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

SEC-C-U: The Security of Intensive Care Unit Medical Devices and Their Ecosystems.

Carmel Eliash, Isaac Lazar, Nir Nissim

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

Keep an eye on your personal belongings! The security of personal medical devices and their ecosystems.

Matan Kintzlinger, Nir Nissim

J. Biomed. Informatics, 2019

Dynamic Malware Analysis in the Modern Era - A State of the Art Survey.

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

ACM Comput. Surv., 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

Malboard: A novel user keystroke impersonation attack and trusted detection framework based on side-channel analysis.

Nitzan Farhi, Nir Nissim, Yuval Elovici

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

Temporal Probabilistic Profiles for Sepsis Prediction in the ICU.

Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices.

Tom Mahler, Nir Nissim, Erez Shalom, Israel Goldenberg, Guy Hasman, Arnon Makori, Itzik Kochav, Yuval Elovici, Yuval Shahar

CoRR, 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

Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients.

Eitam Sheetrit, Nir Nissim, Denis Klimov, Lior Fuchs, Yuval Elovici, Yuval Shahar

CoRR, 2017

USB-based attacks.

Nir Nissim, Ran Yahalom, Yuval Elovici

Comput. Secur., 2017

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.

Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch

Artif. Intell. Medicine, 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

ALDROID: efficient update of Android anti-virus software using designated active learning methods.

Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici

Knowl. Inf. Syst., 2016

Improving condition severity classification with an efficient active learning based framework.

Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch

J. Biomed. 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

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

An Active Learning Framework for Efficient Condition Severity Classification.

Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

Novel active learning methods for enhanced PC malware detection in windows OS.

Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici

Expert Syst. Appl., 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

2012

Detecting unknown computer worm activity via support vector machines and active learning.

Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici

Pattern Anal. Appl., 2012

2009

Unknown malcode detection and the imbalance problem.

Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici

J. Comput. Virol., 2009

2008

Malicious Code Detection Using Active Learning.

Robert Moskovitch, Nir Nissim, Yuval Elovici

Proceedings of the Privacy, 2008

Unknown malcode detection via text categorization and the imbalance problem.

Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Active learning to improve the detection of unknown computer worms activity.

Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Improving the Detection of Unknown Computer Worms Activity Using Active Learning.

Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Malicious Code Detection and Acquisition Using Active Learning.

Robert Moskovitch, Nir Nissim, Yuval Elovici

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007