Research output per year
Research output per year
Personal profile
Research interests
Cyber Security, Malware Detection, Machine Learning, Data Science , Bioemdical Informatics, Computational Neuroscience
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Dive into the research topics where Nir Nissim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Time-interval temporal patterns can beat and explain the malware
Finder, I., Sheetrit, E. & Nissim, N., 6 Apr 2022, In: Knowledge-Based Systems. 241, 108266.Research output: Contribution to journal › Article › peer-review
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Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework
Levy-Loboda, T., Rav-Acha, M., Katz, A. & Nissim, N., 1 Dec 2021, In: Artificial Intelligence in Medicine. 122, 102200.Research output: Contribution to journal › Article › peer-review
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Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
Landman, T. & Nissim, N., 1 Dec 2021, In: Neural Networks. 144, p. 648-685 38 p.Research output: Contribution to journal › Article › peer-review
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Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments
Panker, T. & Nissim, N., 17 Aug 2021, In: Knowledge-Based Systems. 226, 107095.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis
Or-Meir, O., Cohen, A., Elovici, Y., Rokach, L. & Nissim, N., 18 Jul 2021, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks; vol. 2021-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks
Cohen, A., Cohen, A. & Nissim, N., 1 Nov 2020, In: Neural Networks. 131, p. 64-77 14 p.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
CardiWall: A trusted firewall for the detection of malicious clinical programming of cardiac implantable electronic devices
Kintzlinger, M., Cohen, A., Nissim, N., Rav-Acha, M., Khalameizer, V., Elovici, Y., Shahar, Y. & Katz, A., 1 Jan 2020, In: IEEE Access. 8, p. 48123-48140 18 p., 9025056.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments
Nahmias, D., Cohen, A., Nissim, N. & Elovici, Y., 1 Apr 2020, In: Neural Networks. 124, p. 243-257 15 p.Research output: Contribution to journal › Article › peer-review
21 Scopus citations -
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images
Cohen, A., Nissim, N. & Elovici, Y., 1 Jan 2020, In: IEEE Access. 8, p. 19997-20011 15 p., 8967109.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Mind your mind: EEG-based brain-computer interfaces and their security in cyber space
Landau, O., Puzis, R. & Nissim, N., 1 Feb 2020, In: ACM Computing Surveys. 53, 1, 17.Research output: Contribution to journal › Article › peer-review
5 Scopus citations
Press / Media
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Israel : BGU and ASU Consortium Awarded Prestigious Energy Cyber Center Grant
Dan Blumberg, Rami Puzis, Nir Nissim, Bracha Leah Shapira, Lior Rokach, Yisroel Mirsky & Yuval Elovici
18/05/21
1 item of Media coverage
Press/Media