日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Information Security Threats and Working from Home Culture: Taxonomy, Risk Assessment and Solutions

信息安全威胁与居家办公文化:分类、风险评估与解决方案

Kotak, Jaidip; Habler, Edan; Brodt, Oleg; Shabtai, Asaf; Elovici, Yuval

A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists' Perspective

医疗影像设备网络安全风险评估方法:放射科医生的视角

Mahler, Tom; Shalom, Erez; Makori, Arnon; Elovici, Yuval; Shahar, Yuval

Towards the Detection of GPS Spoofing Attacks against Drones by Analyzing Camera's Video Stream

通过分析摄像头视频流来检测针对无人机的GPS欺骗攻击

Davidovich, Barak; Nassi, Ben; Elovici, Yuval

RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks

RadArnomaly:保护雷达系统免受数据篡改攻击

Cohen, Shai; Levy, Efrat; Shaked, Avi; Cohen, Tair; Elovici, Yuval; Shabtai, Asaf

The Security of IP-Based Video Surveillance Systems

基于IP的视频监控系统的安全性

Kalbo, Naor; Mirsky, Yisroel; Shabtai, Asaf; Elovici, Yuval

Spoofing Attack on Ultrasonic Distance Sensors Using a Continuous Signal

利用连续信号对超声波测距传感器进行欺骗攻击

Gluck, Tomer; Kravchik, Moshe; Chocron, Samuel; Elovici, Yuval; Shabtai, Asaf

Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data

结合网络分析和机器学习,可以利用番茄代谢组学数据预测代谢途径。

Toubiana, David; Puzis, Rami; Wen, Lingling; Sikron, Noga; Kurmanbayeva, Assylay; Soltabayeva, Aigerim; Del Mar Rubio Wilhelmi, Maria; Sade, Nir; Fait, Aaron; Sagi, Moshe; Blumwald, Eduardo; Elovici, Yuval

Datasets of RT spoofing attacks on MIL-STD-1553 communication traffic

针对 MIL-STD-1553 通信流量的 RT 欺骗攻击数据集

Yahalom, Ran; Barishev, David; Steren, Alon; Nameri, Yonatan; Roytman, Maxim; Porgador, Angel; Elovici, Yuval

Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques

利用混淆规避技术对受恶意软件感染的主机进行内存快照数据集分析

Sadek, Ibrahim; Chong, Penny; Rehman, Shafiq Ul; Elovici, Yuval; Binder, Alexander

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

使用主动和被动学习方法的疾病严重程度分类模型的标签间和标签内变异性

Nissim, Nir; Shahar, Yuval; Elovici, Yuval; Hripcsak, George; Moskovitch, Robert