747 citations · 796 across the 14 of their papers we have counts for
14 papers
SCAPHY: Detecting Modern ICS Attacks by Correlating Behaviors in SCADA and PHYsical
Moses Ike, Kandy Phan, Keaton Sadoski +2
Modern Industrial Control Systems (ICS) attacks evade existing tools by using knowledge of ICS processes to blend their activities with benign Supervisory Control and Data Acquisit…
The Threat of Offensive AI to Organizations
Yisroel Mirsky, Ambra Demontis, Jaidip Kotak +7
AI has provided us with the ability to automate tasks, extract information from vast amounts of data, and synthesize media that is nearly indistinguishable from the real thing. How…
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization
Dongsong Yu, Guangliang Yang, Guozhu Meng +9
To investigate the status quo of SEAndroid policy customization, we propose SEPAL, a universal tool to automatically retrieve and examine the customized policy rules. SEPAL applies…
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Shana Moothedath, Dinuka Sahabandu, Joey Allen +3
Advanced persistent threats (APTs) are organized prolonged cyberattacks by sophisticated attackers. Although APT activities are stealthy, they interact with the system components a…
A Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Detecting Advanced Persistent Threats
Dinuka Sahabandu, Shana Moothedath, Joey Allen +3
Advanced Persistent Threats (APTs) are stealthy attacks that threaten the security and privacy of sensitive information. Interactions of APTs with victim system introduce informati…
SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback
Rui Zhong, Yongheng Chen, Hong Hu +3
Fuzzing is an increasingly popular technique for verifying software functionalities and finding security vulnerabilities. However, current mutation-based fuzzers cannot effectively…
Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach
Shana Moothedath, Dinuka Sahabandu, Joey Allen +4
Advanced Persistent Threats (APTs) are stealthy customized attacks by intelligent adversaries. This paper deals with the detection of APTs that infiltrate cyber systems and comprom…
The Creation and Detection of Deepfakes: A Survey
Yisroel Mirsky, Wenke Lee
Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how ea…
Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages
Ruian Duan, Omar Alrawi, Ranjita Pai Kasturi +3
Package managers have become a vital part of the modern software development process. They allow developers to reuse third-party code, share their own code, minimize their codebase…
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats
Shana Moothedath, Dinuka Sahabandu, Joey Allen +4
Advanced Persistent Threats (APTs) infiltrate cyber systems and compromise specifically targeted data and/or resources through a sequence of stealthy attacks consisting of multiple…
Cloaker Catcher: A Client-based Cloaking Detection System
Ruian Duan, Weiren Wang, Wenke Lee
Cloaking has long been exploited by spammers for the purpose of increasing the exposure of their websites. In other words, cloaking has long served as a major malicious technique i…
Bunshin: Compositing Security Mechanisms through Diversification (with Appendix)
Meng Xu, Kangjie Lu, Taesoo Kim +1
A number of security mechanisms have been proposed to harden programs written in unsafe languages, each of which mitigates a specific type of memory error. Intuitively, enforcing m…
From Physical to Cyber: Escalating Protection for Personalized Auto Insurance
Le Guan, Jun Xu, Shuai Wang +5
Nowadays, auto insurance companies set personalized insurance rate based on data gathered directly from their customers' cars. In this paper, we show such a personalized insurance…
An Empirical Study of Spam and Prevention Mechanisms in Online Video Chat Services
Xinyu Xing, Junho Ahn, Wenke Lee +2
Recently, online video chat services are becoming increasingly popular. While experiencing tremendous growth, online video chat services have also become yet another spamming targe…