1.5k citations · 2.3k across the 133 of their papers we have counts for
12 papers · 1 filter
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning
Chen Doytshman, Satoru Momiyama, Inderjeet Singh +2
In recent years, financial fraud detection systems have become very efficient at detecting fraud, which is a major threat faced by e-commerce platforms. Such systems often include…
QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
Amit Baras, Alon Zolfi, Yuval Elovici +1
In recent years, there has been a significant trend in deep neural networks (DNNs), particularly transformer-based models, of developing ever-larger and more capable models. While…
Rethinking Satellite Cybersecurity: A System-Level Taxonomy and Longitudinal Analysis
Roy Peled, Eran Aizikovich, Edan Habler +2
Satellite systems are increasingly targeted by cyber and electronic-warfare adversaries as their roles in communication, navigation, Earth observation, and defense expand. Existing…
Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks
Yizhak Vaisman, Gilad Katz, Yuval Elovici +1
To protect an organizations' endpoints from sophisticated cyberattacks, advanced detection methods are required. In this research, we present GCNetOmaly: a graph convolutional netw…
IC-SECURE: Intelligent System for Assisting Security Experts in Generating Playbooks for Automated Incident Response
Ryuta Kremer, Prasanna N. Wudali, Satoru Momiyama +4
Security orchestration, automation, and response (SOAR) systems ingest alerts from security information and event management (SIEM) system, and then trigger relevant playbooks that…
MIRAGE: Multi-Binary Image Risk Assessment with Attack Graph Employment
David Tayouri, Telem Nachum, Asaf Shabtai
Attackers can exploit known vulnerabilities to infiltrate a device's firmware and the communication between firmware binaries, in order to pass between them. To improve cybersecuri…
SoK: Security Below the OS -- A Security Analysis of UEFI
Priyanka Prakash Surve, Oleg Brodt, Mark Yampolskiy +2
The Unified Extensible Firmware Interface (UEFI) is a linchpin of modern computing systems, governing secure system initialization and booting. This paper is urgently needed becaus…
Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration Detection and Prevention
Yarin Ozery, Asaf Nadler, Asaf Shabtai
Data exfiltration over the DNS protocol and its detection have been researched extensively in recent years. Prior studies focused on offline detection methods, which although capab…
X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail
Omer Hofman, Amit Giloni, Yarin Hayun +4
Object detection models, which are widely used in various domains (such as retail), have been shown to be vulnerable to adversarial attacks. Existing methods for detecting adversar…
ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network
Natan Semyonov, Rami Puzis, Asaf Shabtai +1
Watermarking is one of the most important copyright protection tools for digital media. The most challenging type of watermarking is the imperceptible one, which embeds identifying…
D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks
Yair Meidan, Daniel Benatar, Ron Bitton +2
IoT devices are known to be vulnerable to various cyber-attacks, such as data exfiltration and the execution of flooding attacks as part of a DDoS attack. When it comes to detectin…
CADeSH: Collaborative Anomaly Detection for Smart Homes
Yair Meidan, Dan Avraham, Hanan Libhaber +1
Although home IoT (Internet of Things) devices are typically plain and task oriented, the context of their daily use may affect their traffic patterns. For this reason, anomaly-bas…