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Thesis Deployment Optimization of IoT Devices through Attack Graph Analysis
Noga Agmon
The Internet of things (IoT) has become an integral part of our life at both work and home. However, these IoT devices are prone to vulnerability exploits due to their low cost, lo…
The Security of IP-based Video Surveillance Systems
Naor Kalbo, Yisroel Mirsky, Asaf Shabtai +1
IP-based Surveillance systems protect industrial facilities, railways, gas stations, and even one's own home. Therefore, unauthorized access to these systems has serious security i…
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Gil Fidel, Ron Bitton, Asaf Shabtai
State-of-the-art deep neural networks (DNNs) are highly effective in solving many complex real-world problems. However, these models are vulnerable to adversarial perturbation atta…
3D Marketplace: Distributed Attestation of 3D Designs on Blockchain
Sofia Belikovetsky, Oded Leiba, Asaf Shabtai +1
Additive manufacturing (AM), or 3D printing, is an emerging manufacturing technology that is expected to have far-reaching socioeconomic, environmental, and geopolitical implicatio…
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA
Moshe Kravchik, Asaf Shabtai
Industrial control systems (ICSs) are widely used and vital to industry and society. Their failure can have severe impact on both economics and human life. Hence, these systems hav…
Heuristic Approach Towards Countermeasure Selection using Attack Graphs
Orly Stan, Ron Bitton, Michal Ezrets +6
Selecting the optimal set of countermeasures is a challenging task that involves various considerations and tradeoffs such as prioritizing the risks to mitigate and costs. The vast…
Challenges for Security Assessment of Enterprises in the IoT Era
Yael Mathov, Noga Agmon, Asaf Shabtai +3
For years, attack graphs have been an important tool for security assessment of enterprise networks, but IoT devices, a new player in the IT world, might threat the reliability of…
Evaluating the Information Security Awareness of Smartphone Users
Ron Bitton, Kobi Boymgold, Rami Puzis +1
Information security awareness (ISA) is a practice focused on the set of skills, which help a user successfully mitigate a social engineering attack. Previous studies have presente…
Extending Attack Graphs to Represent Cyber-Attacks in Communication Protocols and Modern IT Networks
Orly Stan, Ron Bitton, Michal Ezrets +7
An attack graph is a method used to enumerate the possible paths that an attacker can execute in the organization network. MulVAL is a known open-source framework used to automatic…
VizADS-B: Analyzing Sequences of ADS-B Images Using Explainable Convolutional LSTM Encoder-Decoder to Detect Cyber Attacks
Sefi Akerman, Edan Habler, Asaf Shabtai
The purpose of the automatic dependent surveillance broadcast (ADS-B) technology is to serve as a replacement for the current radar-based, air traffic control systems. Despite the…
Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup
Yair Meidan, Vinay Sachidananda, Yuval Elovici +1
Today, telecommunication service providers (telcos) are exposed to cyber-attacks executed by compromised IoT devices connected to their customers' networks. Such attacks might have…
Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning
Yoni Birman, Shaked Hindi, Gilad Katz +1
Malware detection is an ever-present challenge for all organizational gatekeepers, who must maintain high detection rates while minimizing interruptions to the organization's workf…
Deployment Optimization of IoT Devices through Attack Graph Analysis
Noga Agmon, Asaf Shabtai, Rami Puzis
The Internet of things (IoT) has become an integral part of our life at both work and home. However, these IoT devices are prone to vulnerability exploits due to their low cost, lo…
SoK - Security and Privacy in the Age of Drones: Threats, Challenges, Solution Mechanisms, and Scientific Gaps
Ben Nassi, Asaf Shabtai, Ryusuke Masuoka +1
The evolution of drone technology in the past nine years since the first commercial drone was introduced at CES 2010 has caused many individuals and businesses to adopt drones for…
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and Adversarial Defenses
Lior Sidi, Asaf Nadler, Asaf Shabtai
Domain generation algorithms (DGAs) are commonly used by botnets to generate domain names through which bots can establish a resilient communication channel with their command and…
Defense Methods Against Adversarial Examples for Recurrent Neural Networks
Ishai Rosenberg, Asaf Shabtai, Yuval Elovici +1
Adversarial examples are known to mislead deep learning models to incorrectly classify them, even in domains where such models achieve state-of-the-art performance. Until recently,…