Nir Nissim

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 42

Top Topics

Malware Detection

Machine Learning Methods

Temporal Patterns

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Neural Networks

Publications

Gil Shenderovitz, Nir Nissim
Bon-APT: Detection, attribution, and explainability of APT malware using temporal segmentation of API calls. Comput. Secur. 142 (2024)
Gil Shenderovitz, Eitam Sheetrit, Nir Nissim
Patterns of time-interval based patterns for improved multivariate time series data classification. Eng. Appl. Artif. Intell. 133 (2024)
Itzik Gurowiec, Nir Nissim
Speech emotion recognition systems and their security aspects. Artif. Intell. Rev. 57 (6) (2024)
Dor Zazon, Lior Fink, Shirley Gordon, Nir Nissim
Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods. Decis. Support Syst. 168 (2023)
Trivikram Muralidharan, Nir Nissim
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email. Neural Networks 157 (2023)
Tal Tsafrir, Aviad Cohen, Etay Nir, Nir Nissim
Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms. Expert Syst. Appl. 219 (2023)
Trivikram Muralidharan, Aviad Cohen, Noa Gerson, Nir Nissim
File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements. ACM Comput. Surv. 55 (5) (2023)
Tamar Levy-Loboda, Eitam Sheetrit, Idit F. Liberty, Alon Haim, Nir Nissim
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms. J. Biomed. Informatics 132 (2022)
Trivikram Muralidharan, Aviad Cohen, Assaf Cohen, Nir Nissim
The infinite race between steganography and steganalysis in images. Signal Process. 201 (2022)
Ido Finder, Eitam Sheetrit, Nir Nissim
Time-interval temporal patterns can beat and explain the malware. Knowl. Based Syst. 241 (2022)
Ido Finder, Eitam Sheetrit, Nir Nissim
A time-interval-based active learning framework for enhanced PE malware acquisition and detection. Comput. Secur. 121 (2022)
Tamar Levy-Loboda, Moshe Rav-Acha, Amos Katz, Nir Nissim
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 122 (2021)
Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN (2021)
Tomer Panker, Nir Nissim
Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments. Knowl. Based Syst. 226 (2021)
Tom Landman, Nir Nissim
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments. Neural Networks 144 (2021)
Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments. Neural Networks 124 (2020)
Ofir Landau, Rami Puzis, Nir Nissim
Mind Your Mind: EEG-Based Brain-Computer Interfaces and Their Security in Cyber Space. ACM Comput. Surv. 53 (1) (2020)
Assaf Cohen, Aviad Cohen, Nir Nissim
ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks. Neural Networks 131 (2020)
Carmel Eliash, Isaac Lazar, Nir Nissim
SEC-C-U: The Security of Intensive Care Unit Medical Devices and Their Ecosystems. IEEE Access 8 (2020)
Matan Kintzlinger, Aviad Cohen, Nir Nissim, Moshe Rav-Acha, Vladimir Khalameizer, Yuval Elovici, Yuval Shahar, Amos Katz
CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices. IEEE Access 8 (2020)
Ofir Landau, Aviad Cohen, Shirley Gordon, Nir Nissim
Mind your privacy: Privacy leakage through BCI applications using machine learning methods. Knowl. Based Syst. 198 (2020)
Aviad Cohen, Nir Nissim, Yuval Elovici
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images. IEEE Access 8 (2020)
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access 7 (2019)
Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici
TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. IJCNN (2019)
Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach
Dynamic Malware Analysis in the Modern Era - A State of the Art Survey. ACM Comput. Surv. 52 (5) (2019)
Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU. KDD (2019)
Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. 87 (2019)
Matan Kintzlinger, Nir Nissim
Keep an eye on your personal belongings! The security of personal medical devices and their ecosystems. J. Biomed. Informatics 95 (2019)
Nitzan Farhi, Nir Nissim, Yuval Elovici
Malboard: A novel user keystroke impersonation attack and trusted detection framework based on side-channel analysis. Comput. Secur. 85 (2019)
Nir Nissim, Yuval Lapidot, Aviad Cohen, Yuval Elovici
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining. Knowl. Based Syst. 153 (2018)
Aviad Cohen, Nir Nissim
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory. Expert Syst. Appl. 102 (2018)
Aviad Cohen, Nir Nissim, Yuval Elovici
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods. Expert Syst. Appl. 110 (2018)
Tom Mahler, Nir Nissim, Erez Shalom, Israel Goldenberg, Guy Hasman, Arnon Makori, Itzik Kochav, Yuval Elovici, Yuval Shahar
Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices. CoRR (2018)
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles
Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC (2017)
Nir Nissim, Ran Yahalom, Yuval Elovici
USB-based attacks. Comput. Secur. 70 (2017)
Nir Nissim, Aviad Cohen, Yuval Elovici
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. 12 (3) (2017)
Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif. Intell. Medicine 81 (2017)
Eitam Sheetrit, Nir Nissim, Denis Klimov, Lior Fuchs, Yuval Elovici, Yuval Shahar
Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients. CoRR (2017)
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Matan Edri, Oren Bar-Ad, Yuval Elovici
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework. Secur. Informatics 5 (1) (2016)
Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. 63 (2016)
Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch
Improving condition severity classification with an efficient active learning based framework. J. Biomed. Informatics 61 (2016)
Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici
ALDROID: efficient update of Android anti-virus software using designated active learning methods. Knowl. Inf. Syst. 49 (3) (2016)
Nir Nissim, Aviad Cohen, Yuval Elovici
Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. ICMLA (2015)
Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak
An Active Learning Framework for Efficient Condition Severity Classification. AIME (2015)
Nir Nissim, Aviad Cohen, Chanan Glezer, Yuval Elovici
Detection of malicious PDF files and directions for enhancements: A state-of-the art survey. Comput. Secur. 48 (2015)
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
Novel active learning methods for enhanced PC malware detection in windows OS. Expert Syst. Appl. 41 (13) (2014)
Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. JISIC (2014)
Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici
Detecting unknown computer worm activity via support vector machines and active learning. Pattern Anal. Appl. 15 (4) (2012)
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici
Unknown malcode detection and the imbalance problem. J. Comput. Virol. 5 (4) (2009)
Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici
Unknown malcode detection via text categorization and the imbalance problem. ISI (2008)
Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici
Active learning to improve the detection of unknown computer worms activity. FUSION (2008)
Robert Moskovitch, Nir Nissim, Yuval Elovici
Malicious Code Detection Using Active Learning. PinKDD (2008)
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici
Improving the Detection of Unknown Computer Worms Activity Using Active Learning. KI (2007)
Robert Moskovitch, Nir Nissim, Yuval Elovici
Malicious Code Detection and Acquisition Using Active Learning. ISI (2007)