Cloned fake RFID tags and malicious RFID readers pose a major threat to RFID-based supply chain management system. Fake tags can be attached to counterfeit products and medicines. Malicious readers can corrupt and snoop on genuine tags. These threats can be alleviated by incorporating a RFID tag-reader mutual authentication scheme. In this paper we propose a simple, cost-effective, light-weight...

Recent work has developed supervised methods for detecting deceptive opinion spam— fake reviews written to sound authentic and deliberately mislead readers. And whereas past work has focused on identifying individual fake reviews, this paper aims to identify offerings (e.g., hotels) that contain fake reviews. We introduce a semi-supervised manifold ranking algorithm for this task, which relies ...

While news media biases and propaganda are a persistent problem for interpreting the true state of world affairs, increasing reliance on the internet as a primary news source has enabled the formation of hyper-partisan echo chambers and an industry where outlets benefit from purveying “fake news”. The presence of intentionally adversarial news sources challenges linguistic modeling of news arti...

It is shown how the generating functional method of De Dominicis can be used to solve the dynamics of the original version of the minority game (MG), in which agents observe real as opposed to fake market histories. Here one again finds exact closed equations for correlation and response functions, but now these are defined in terms of two connected effective non-Markovian stochastic processes:...

The Verifying Multimedia Use Task aims to automatically detect manipulated and fake web multimedia content. We have two important improvements this year: On the one hand, considering that the prediction based on a short tweet is unreliable, we propose a topic-level credibility prediction framework. This framework exploits the internal relations of tweets belonging to same topic. Besides, we enh...

Social networking sites such as Twitter and Facebook attracts over 500 million users across the world, for those users, their social life, even their practical life, has become interrelated. Their interaction with social networking has affected their life forever. Accordingly, social networking sites have become among the main channels that are responsible for vast dissemination of different ki...

This article presents a preliminary approach towards characterizing political fake news on Twitter through the analysis of their meta-data. In particular, we focus on more than 1.5M tweets collected on the day of the election of Donald Trump as 45th president of the United States of America. We use the meta-data embedded within those tweets in order to look for differences between tweets contai...