SIMD-Scan: Ultra Fast in-Memory Table Scan Using on-Chip Vector Processing Units
The availability of huge system memory, even on standard servers, generated a lot of interest in main memory database engines. In data warehouse systems, highly compressed column-oriented data...
View ArticleA Billion Keys, but Few Locks: The Crisis of Web Single Sign-On
OpenID and InfoCard are two mainstream Web single sign-on (SSO) solutions intended for Internet-scale adoption. While they are technically sound, the business model of these solutions does not provide...
View ArticleThe Socialbot Network: When Bots Socialize for Fame and Money
Online Social Networks (OSNs) have become an integral part of today's Web. Politicians, celebrities, revolutionists, and others use OSNs as a podium to deliver their message to millions of active web...
View ArticleThe Socialbot Network: When Bots Socialize for Fame and Money
Online Social Networks (OSNs) have become an integral part of today's Web. Politicians, celebrities, revolutionists, and others use OSNs as a podium to deliver their message to millions of active web...
View Article[POSTER] The Socialbot Network: When Bots Socialize for Fame and Money
Online Social Networks (OSNs) have become an integral part of today's Web. Politicians, celebrities, revolutionists, and others use OSNs as a podium to deliver their message to millions of active web...
View ArticleAutomated Social Engineering Attacks in OSNs
In this presentation, we outline the latest automated social engineering attacks in Online Social Networks (OSNs) such as Facebook. We review the techniques used by the adversaries and discuss the...
View ArticleUnderstanding Users’ Requirements for Data Protection in Smartphones
Securing smartphones’ data is a new and growing concern, especially when this data represents valuable or sensitive information. Even though there are many data protection solutions for smartphones,...
View ArticleThe Socialbot Network: When Bots Socialize for Fame and Money
Online Social Networks (OSNs) have attracted millions of active users and have become an integral part of today's Web ecosystem. Unfortunately, in the wrong hands, OSNs can be used to harvest private...
View ArticleThe Socialbot Network: Are Social Botnets Possible?
In this invited piece at the ACM Interactions Magazine, we briefly describe our research into the use, impact, and implications of socialbots on Facebook.
View ArticleKey Challenges in Defending Against Malicious Socialbots
The ease with which we adopt online personas and relationships has created a soft spot that cyber criminals are willing to exploit. Advances in artificial intelligence make it feasible to design bots...
View ArticleKey Challenges in Defending Against Malicious Socialbots
The ease with which we adopt online personas and relationships has created a soft spot that cyber criminals are willing to exploit. Advances in artificial intelligence make it feasible to design bots...
View ArticleDesign and Analysis of a Social Botnet
Online Social Networks (OSNs) have attracted millions of active users and have become an integral part of today's Web ecosystem. Unfortunately, in the wrong hands, OSNs can be used to harvest private...
View ArticleAugur: Aiding Malware Detection Using Large-Scale Machine Learning
We present Augur: a large-scale machine learning system that uses malware static and dynamic analyses to predict the maliciousness of new files. Unlike other machine learning-based malware detection...
View ArticleGraph-based Sybil Detection in Social and Information Systems
Sybil attacks in social and information systems have serious security implications. Out of many defence schemes, Graph-based Sybil Detection (GSD) had the greatest attention by both academia and...
View ArticleKnow Your Enemy: The Risk of Unauthorized Access in Smartphones by Insiders
Smartphones store large amounts of sensitive data, such as SMS messages, photos, or email. In this paper, we report the results of a study investigating users’ concerns about unauthorized data access...
View ArticleThwarting fake accounts by predicting their victims
Traditional fake account detection systems employed by today's online social networks rely on either features extracted from user activities, or ranks computed from the underlying social graph. We...
View ArticleTo Befriend Or Not? A Model of Friend Request Acceptance on Facebook
Accepting friend requests from strangers in Facebook-like online social networks is known to be a risky behavior. Still, empirical evidence suggests that Facebook users often accept such requests with...
View ArticleIntegro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs
Detecting fake accounts in online social networks (OSNs) protects OSN operators and their users from various malicious activities. Most detection mechanisms attempt to predict and classify user...
View ArticleIntegro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs
Detecting fake accounts in online social networks (OSNs) protects OSN operators and their users from various malicious activities. Most detection mechanisms attempt to predict and classify user...
View ArticleSecurity Analysis of Malicious Socialbots on the Web
The open nature of the Web, online social networks (OSNs) in particular, makes it possible to design socialbots—automation software that controls fake accounts in a target OSN, and has the ability to...
View ArticleThwarting Fake OSN Accounts by Predicting their Victims
Traditional defense mechanisms for fighting against automated fake accounts in online social networks are victim-agnostic. Even though victims of fake accounts play an important role in the viability...
View ArticleHarvesting the Low-hanging Fruits: Defending Against Automated Large-Scale...
The orthodox paradigm to defend against automated social-engineering attacks in large-scale socio-technical systems is reactive and victim-agnostic. Defenses generally focus on identifying the...
View ArticleDecoupling data-at-rest encryption and smartphone locking with wearable devices
Smartphones store sensitive and confidential data, e.g., business related documents or emails. If a smartphone is stolen, such data are at risk of disclosure. To mitigate this risk, modern smartphones...
View ArticleSource Attribution of Cryptographic API Misuse in Android Applications
Recent research suggests that 88% of Android applications that use Java cryptographic APIs make at least one mistake, which results in an insecure implementation. It is unclear, however, if these...
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