2.4k citations · 2.8k across the 25 of their papers we have counts for
12 papers · 1 filter
CallShield: Secure Caller Authentication over Real-Time Audio Channels
Mouna Rabh, Yazan Boshmaf, Mashael Alsabah +3
We present CallShield, the first caller identity authentication system that operates entirely at the audio layer, without relying on speech transcription, internet connectivity, or…
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah +2
Malicious domain detection (MDD) is an open security challenge that aims to detect if an Internet domain is associated with cyber-attacks. Among many approaches to this problem, gr…
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
Guanxiong Liu, Abdallah Khreishah, Fatima Sharadgah +1
Trojan backdoor is a poisoning attack against Neural Network (NN) classifiers in which adversaries try to exploit the (highly desirable) model reuse property to implant Trojans int…
Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior
Enes Altinisik, Husrev Taha Sencar, Mohamed Nabeel +2
Enterprise networks are one of the major targets for cyber attacks due to the vast amount of sensitive and valuable data they contain. A common approach to detecting attacks in the…
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
Euijin Choo, Mohamed Nabeel, Ravindu De Silva +2
VirusTotal (VT) provides aggregated threat intelligence on various entities including URLs, IP addresses, and binaries. It is widely used by researchers and practitioners to collec…
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
Guanxiong Liu, Issa Khalil, Abdallah Khreishah +1
In this work, we show how to jointly exploit adversarial perturbation and model poisoning vulnerabilities to practically launch a new stealthy attack, dubbed AdvTrojan. AdvTrojan i…
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh +4
We model the behavioral biases of human decision-making in securing interdependent systems and show that such behavioral decision-making leads to a suboptimal pattern of resource a…
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
Guanxiong Liu, Issa Khalil, Abdallah Khreishah +5
Machine learning models, especially neural network (NN) classifiers, have acceptable performance and accuracy that leads to their wide adoption in different aspects of our daily li…
BASCPS: How does behavioral decision making impact the security of cyber-physical systems?
Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh +4
We study the security of large-scale cyber-physical systems (CPS) consisting of multiple interdependent subsystems, each managed by a different defender. Defenders invest their sec…
DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference
Euijin Choo, Mohamed Nabeel, Mashael Alsabah +3
In this paper, we propose to identify compromised mobile devices from a network administrator's point of view. Intuitively, inadvertent users (and thus their devices) who download…
A Survey on Malicious Domains Detection through DNS Data Analysis
Yury Zhauniarovich, Issa Khalil, Ting Yu +1
Malicious domains are one of the major resources required for adversaries to run attacks over the Internet. Due to the important role of the Domain Name System (DNS), extensive res…
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage
Issa Khalil, Bei Guan, Mohamed Nabeel +1
Inference based techniques are one of the major approaches to analyze DNS data and detecting malicious domains. The key idea of inference techniques is to first define associations…