Research output per year
Research output per year
Personal profile
Research interests
Cyber Security, Malware Detection, Machine Learning, Data Science , Bioemdical Informatics, Computational Neuroscience
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bon-APT: Detection, attribution, and explainability of APT malware using temporal segmentation of API calls
Shenderovitz, G. & Nissim, N., 1 Jul 2024, In: Computers and Security. 142, 103862.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Patterns of time-interval based patterns for improved multivariate time series data classification
Shenderovitz, G., Sheetrit, E. & Nissim, N., 1 Jul 2024, In: Engineering Applications of Artificial Intelligence. 133, 108171.Research output: Contribution to journal › Article › peer-review
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Speech emotion recognition systems and their security aspects
Gurowiec, I. & Nissim, N., 1 Jun 2024, In: Artificial Intelligence Review. 57, 6, 148.Research output: Contribution to journal › Article › peer-review
Open Access -
Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods
Zazon, D., Fink, L., Gordon, S. & Nissim, N., 1 May 2023, In: Decision Support Systems. 168, 113930.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms
Tsafrir, T., Cohen, A., Nir, E. & Nissim, N., 1 Jun 2023, In: Expert Systems with Applications. 219, 119615.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
Muralidharan, T. & Nissim, N., 1 Jan 2023, In: Neural Networks. 157, p. 257-279 23 p.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations -
A time-interval-based active learning framework for enhanced PE malware acquisition and detection
Finder, I., Sheetrit, E. & Nissim, N., 1 Oct 2022, In: Computers and Security. 121, 102838.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements
Muralidharan, T., Cohen, A., Gerson, N. & Nissim, N., 3 Dec 2022, In: ACM Computing Surveys. 55, 5, 108.Research output: Contribution to journal › Article › peer-review
22 Scopus citations -
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms
Levy-Loboda, T., Sheetrit, E., Liberty, I. F., Haim, A. & Nissim, N., 1 Aug 2022, In: Journal of Biomedical Informatics. 132, 104129.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations -
The infinite race between steganography and steganalysis in images
Muralidharan, T., Cohen, A., Cohen, A. & Nissim, N., 1 Dec 2022, In: Signal Processing. 201, 108711.Research output: Contribution to journal › Review article › peer-review
28 Scopus citations
Thesis
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An Active Learning Framework for Efficient Acquisition and Detection of Unknown Malware
Nissim, N. (Author), Elovici, Y. (Supervisor), 2016Student thesis: Doctoral Thesis