Nir Nissim

发表

Rami Puzis, Ofir Landau, Nir Nissim, 2015 .

An Active Learning Framework for Efficient Condition Severity Classification

Yuval Shahar, George Hripcsak, Yuval Elovici, 2015, AIME.

SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods

Lior Rokach, Yuval Elovici, Nir Nissim, 2016, Expert Syst. Appl..

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

Lior Rokach, Yuval Elovici, Nir Nissim, 2012, Pattern Analysis and Applications.

Detection of malicious PDF files and directions for enhancements: A state-of-the art survey

Yuval Elovici, Chanan Glezer, Nir Nissim, 2015, Comput. Secur..

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

Yuval Shahar, Yuval Elovici, Nir Nissim, 2018, ArXiv.

USBware: A Trusted and Multidisciplinary Framework for Enhanced Detection of USB-Based Attacks

Yuval Elovici, Nir Nissim, Boaz Lerner, 2016 .

ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks

Nir Nissim, Aviad Cohen, Assaf Cohen, 2020, Neural Networks.

USB-based attacks

Yuval Elovici, Nir Nissim, Ran Yahalom, 2017, Comput. Secur..

Boosting the Detection of Malicious Documents Using Designated Active Learning Methods

Yuval Elovici, Nir Nissim, Aviad Cohen, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework

Lior Rokach, Yuval Elovici, Nir Nissim, 2019, IEEE Access.

CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices

Yuval Shahar, Yuval Elovici, Nir Nissim, 2020, IEEE Access.

Cyber-Med: Practical Detection Methodology of Cyber-Attacks Aimed at Medical Devices Eco-Systems

Yuval Shahar, Yuval Elovici, Nir Nissim, 2016 .

Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory

Nir Nissim, Aviad Cohen, N. Nissim, 2018, Expert Syst. Appl..

Malicious Code Detection Using Active Learning

Yuval Elovici, Nir Nissim, Robert Moskovitch, 2009, PinKDD.

Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud

Lior Rokach, Yuval Elovici, Nir Nissim, 2019, Comput. Secur..

Temporal Probabilistic Profiles for Sepsis Prediction in the ICU

Yuval Shahar, Denis Klimov, Nir Nissim, 2019, KDD.

Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework

Yuval Elovici, Asaf Shabtai, Nir Nissim, 2016, Security Informatics.

Active learning to improve the detection of unknown computer worms activity

Yuval Elovici, Roman Englert, Nir Nissim, 2008, 2008 11th International Conference on Information Fusion.

Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods

Yuval Elovici, Nir Nissim, Aviad Cohen, 2018, Expert Syst. Appl..

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

Lior Rokach, Yuval Elovici, Nir Nissim, 2014, Expert Syst. Appl..

Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments

Yuval Elovici, Nir Nissim, Aviad Cohen, 2020, Neural Networks.

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

Nir Nissim, Carmel Eliash, Isaac Lazar, 2020, IEEE Access.

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

Lior Rokach, Yuval Elovici, Nir Nissim, 2019, ACM Comput. Surv..

MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images

Yuval Elovici, Nir Nissim, Aviad Cohen, 2020, IEEE Access.

Scholarly Digital Libraries as a Platform for Malware Distribution

Lior Rokach, Yuval Elovici, C. Lee Giles, 2017, SG-CRC.

Malicious Code Detection and Acquisition Using Active Learning

Yuval Elovici, Nir Nissim, Robert Moskovitch, 2007, 2007 IEEE Intelligence and Security Informatics.

Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients pdf

Yuval Shahar, Yuval Elovici, Denis Klimov, 2017, ArXiv.

Improving condition severity classification with an efficient active learning based framework

Yuval Shahar, George Hripcsak, Yuval Elovici, 2016, J. Biomed. Informatics.

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

Lior Rokach, Yuval Elovici, Nir Nissim, 2016, Knowledge and Information Systems.

Unknown malcode detection via text categorization and the imbalance problem

Yuval Elovici, Nir Nissim, Robert Moskovitch, 2008, 2008 IEEE International Conference on Intelligence and Security Informatics.

ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files

Yuval Elovici, Nir Nissim, Aviad Cohen, 2014, 2014 IEEE Joint Intelligence and Security Informatics Conference.

Mind your privacy: Privacy leakage through BCI applications using machine learning methods

Ofir Landau, Nir Nissim, Shirley Gordon, 2020, Knowl. Based Syst..

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

Yuval Shahar, George Hripcsak, Yuval Elovici, 2017, Artif. Intell. Medicine.

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

Nir Nissim, Matan Kintzlinger, N. Nissim, 2019, J. Biomed. Informatics.

Improving the Detection of Unknown Computer Worms Activity Using Active Learning

Yuval Elovici, Roman Englert, Nir Nissim, 2007, KI.

Unknown malcode detection and the imbalance problem

Yuval Elovici, Nathalie Japkowicz, Nir Nissim, 2009, Journal in Computer Virology.

Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining

Yuval Elovici, Nir Nissim, Aviad Cohen, 2018, Knowl. Based Syst..

ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology

Yuval Elovici, Nir Nissim, Aviad Cohen, 2017, IEEE Transactions on Information Forensics and Security.

TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning

Yuval Elovici, Nir Nissim, Aviad Cohen, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

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

Yuval Elovici, Nir Nissim, Nitzan Farhi, 2019, Comput. Secur..

Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis

Lior Rokach, Yuval Elovici, Nir Nissim, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Nir Nissim, Tom Landman, N. Nissim, 2021, Neural Networks.

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

Nir Nissim, Moshe Rav-Acha, Amos Katz, 2021, Artif. Intell. Medicine.

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

Nir Nissim, Tomer Panker, N. Nissim, 2021, Knowl. Based Syst..