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Computer Science

D-Index
77
Citations
25136
World Ranking
1264
National Ranking
23

Overview

Yuval Elovici is affiliated with Ben-Gurion University of the Negev in Israel. Their research primarily focuses on Computer Science, with specific emphasis on subfields such as Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems, and Computer Vision and Pattern Recognition.

Their recent publications cover a range of topics in cybersecurity and machine learning. Notable papers include:

  • "A novel approach for detecting vulnerable IoT devices connected behind a home NAT" (2020, Computers & Security)
  • "The Threat of Offensive AI to Organizations" (2022, Computers & Security)
  • "The Security of IP-Based Video Surveillance Systems" (2020, MDPI)
  • "Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments" (2020, Neural Networks)
  • "MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images" (2020, IEEE Access)

The main topics of research explored by Elovici include:

  • Adversarial Robustness in Machine Learning
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications
  • Information and Cyber Security
  • Internet Traffic Analysis and Secure E-voting
  • Explainable Artificial Intelligence (XAI)

Yuval Elovici frequently publishes in specific venues, which include:

  • arXiv (Cornell University)
  • Computers & Security
  • Sensors
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)

The researcher collaborates regularly with a number of co-authors. Those with the greatest number of joint publications are:

  • Asaf Shabtai
  • Dudu Mimran
  • Oleg Brodt
  • Ron Bitton
  • Ben Nassi

Best Publications

  • N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders

    Yair Meidan;Michael Bohadana;Yael Mathov;Yisroel Mirsky

  • Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection.

    Yisroel Mirsky;Tomer Doitshman;Yuval Elovici;Asaf Shabtai

  • N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

    Yair Meidan;Michael Bohadana;Yael Mathov;Yisroel Mirsky

  • Andromaly: a behavioral malware detection framework for android devices

    Asaf Shabtai;Uri Kanonov;Yuval Elovici;Chanan Glezer

  • Google Android: A Comprehensive Security Assessment

    A. Shabtai;Y. Fledel;U. Kanonov;Y. Elovici

  • Online Social Networks: Threats and Solutions

    Michael Fire;Roy Goldschmidt;Yuval Elovici

  • ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis

    Yair Meidan;Michael Bohadana;Asaf Shabtai;Juan David Guarnizo

  • Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey

    Asaf Shabtai;Robert Moskovitch;Yuval Elovici;Chanan Glezer

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

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

  • Detecting unknown malicious code by applying classification techniques on OpCode patterns

    Asaf Shabtai;Robert Moskovitch;Clint Feher;Shlomi Dolev

  • Insight Into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures

    Ivan Homoliak;Flavio Toffalini;Juan Guarnizo;Yuval Elovici

  • A Survey of Data Leakage Detection and Prevention Solutions

    Asaf Shabtai;Yuval Elovici;Lior Rokach

  • Securing Android-Powered Mobile Devices Using SELinux

    Asaf Shabtai;Yuval Fledel;Yuval Elovici

  • Unknown Malcode Detection Using OPCODE Representation

    Robert Moskovitch;Clint Feher;Nir Tzachar;Eugene Berger

  • Link Prediction in Social Networks Using Computationally Efficient Topological Features

    Michael Fire;Lena Tenenboim;Ofrit Lesser;Rami Puzis

  • Automated Static Code Analysis for Classifying Android Applications Using Machine Learning

    Asaf Shabtai;Yuval Fledel;Yuval Elovici

  • Mobile malware detection through analysis of deviations in application network behavior

    Asaf Shabtai;Lena Tenenboim-Chekina;Dudu Mimran;Lior Rokach

  • Detection of Unauthorized IoT Devices Using Machine Learning Techniques

    Yair Meidan;Michael Bohadana;Asaf Shabtai;Martín Ochoa

  • BitWhisper: Covert Signaling Channel between Air-Gapped Computers Using Thermal Manipulations

    Mordechai Guri;Matan Monitz;Yisroel Mirski;Yuval Elovici

  • Routing betweenness centrality

    Shlomi Dolev;Yuval Elovici;Rami Puzis

  • Online Social Networks: Threats and Solutions Survey

    Michael Fire;Roy Goldschmidt;Yuval Elovici

Frequent Co-Authors

Asaf Shabtai
Asaf Shabtai Ben-Gurion University of the Negev
Lior Rokach
Lior Rokach Ben-Gurion University of the Negev
Bracha Shapira
Bracha Shapira Ben-Gurion University of the Negev
Robert Moskovitch
Robert Moskovitch Columbia University
Shlomi Dolev
Shlomi Dolev Ben-Gurion University of the Negev
Yuval Shahar
Yuval Shahar Ben-Gurion University of the Negev
Abraham Kandel
Abraham Kandel University of South Florida
Ngai-Man Cheung
Ngai-Man Cheung Singapore University of Technology and Design
Adi Shamir
Adi Shamir Weizmann Institute of Science

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