Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Social bots represent a new generation of bots that make use of online social networks
(OSNs) as command and control (C&C) channels. Malicious social bots have been used as …

Social networks are very popular in today's world. Millions of people use various forms of
social networks as they allow individuals to connect with friends and family, and share …

Graph-based classification methods are widely used for security analytics. Roughly
speaking, graph-based classification methods include collective classification and graph …

Causality analysis on system auditing data has emerged as an important solution for attack
investigation. Given a POI (Point-Of-Interest) event (eg, an alert fired on a suspicious file …

Online social networks are known to be vulnerable to the so-called Sybil attack, in which an
attacker maintains massive fake accounts (also called Sybils) and uses them to perform …

In this paper, we study the problem of early detection of fake user accounts on social
networks based solely on their network connectivity with other users. Removing such …

In this paper, we propose a technique called LACT for automatically categorizing software
systems in open-source repositories. LACT is based on latent Dirichlet Allocation, an …

Online social networks are plagued by fake information. In particu-lar, using massive fake
accounts (also called Sybils), an attacker can disrupt the security and privacy of benign …

Fabricated media from deep learning models, or deepfakes, have been recently applied to
facilitate social engineering efforts by constructing a trusted social persona. While existing …