The author surveyed over 230 applications (the full list of applications ,can be found in A Survey Of Mobile Device Security: Threats, Vulnerabilities and Defenses), including applications in the “Top” categories on the iTunes store to determine what type of information could be extracted from auditing packet streams. The results were quite surprising. To perform [...]
Posts Tagged ‘android’
Content Recommendation Systems for a Mobile Platform
Abstract—Recommendation systems take artifacts about items and provide suggestions to the user on what other products the might like. There are many different types of recommender algorithms, including nearest-neighbor, linear classifiers and SVMs. However, most recommender systems are collaborative systems that rely on users to rate the products that they bought. This paper presents a [...]