51 citations · 73 across the 11 of their papers we have counts for
10 papers · 1 filter
XNET: Intelligent Dynamic Sampling for High-Speed Network Security Monitoring
Thomas Papastergiou, Karthika Subramani, Joseph Reilly +4
Growing network speeds, with 100GbE line rates becoming common in modern enterprise networks, pose challenges to operators and security applications, as they struggle to scale thei…
PP3D: An In-Browser Vision-Based Defense Against Web Behavior Manipulation Attacks
Spencer King, Irfan Ozen, Karthika Subramani +3
Web-based behavior-manipulation attacks (BMAs) - such as scareware, fake software downloads, tech support scams, etc. - are a class of social engineering (SE) attacks that exploit…
Revealing the True Indicators: Understanding and Improving IoC Extraction From Threat Reports
Evangelos Froudakis, Athanasios Avgetidis, Sean Tyler Frankum +3
Indicators of Compromise (IoCs) are critical for threat detection and response, marking malicious activity across networks and systems. Yet, the effectiveness of automated IoC extr…
SENet: Visual Detection of Online Social Engineering Attack Campaigns
Irfan Ozen, Karthika Subramani, Phani Vadrevu +1
Social engineering (SE) aims at deceiving users into performing actions that may compromise their security and privacy. These threats exploit weaknesses in human's decision making…
Measuring CDNs susceptible to Domain Fronting
Karthika Subramani, Roberto Perdisci, Pierros Skafidas
Domain fronting is a network communication technique that involves leveraging (or abusing) content delivery networks (CDNs) to disguise the final destination of network packets by…
Categorizing Service Worker Attacks and Mitigations
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos +1
Service Workers (SWs) are a powerful feature at the core of Progressive Web Apps, namely web applications that can continue to function when the user's device is offline and that h…
Fighting Voice Spam with a Virtual Assistant Prototype
Sharbani Pandit, Jienan Liu, Roberto Perdisci +1
Mass robocalls affect millions of people on a daily basis. Unfortunately, most current defenses against robocalls rely on phone blocklists and are ineffective against caller ID spo…
Building a Collaborative Phone Blacklisting System with Local Differential Privacy
Daniele Ucci, Roberto Perdisci, Jaewoo Lee +1
Spam phone calls have been rapidly growing from nuisance to an increasingly effective scam delivery tool. To counter this increasingly successful attack vector, a number of commerc…
Measuring Abuse in Web Push Advertising
Karthika Subramani, Xingzi Yuan, Omid Setayeshfar +3
The rapid growth of online advertising has fueled the growth of ad-blocking software, such as new ad-blocking and privacy-oriented browsers or browser extensions. In response, both…
Practical Attacks Against Graph-based Clustering
Yizheng Chen, Yacin Nadji, Athanasios Kountouras +4
Graph modeling allows numerous security problems to be tackled in a general way, however, little work has been done to understand their ability to withstand adversarial attacks. We…