Today, vast amounts of private and sensitive data are being shared across a variety of on-line services day-today. Recent technologies increasingly simplify the collection, processing and evaluation of these data. This results in numerous threats to the privacy of users. Although there are legal regulations to protect privacy, users are increasingly faced with the challenge of controlling their data to exercise their rights. In order to implement the existing legal framework and to help users protect their privacy, technological solutions are becoming increasingly important. Within the scope of this paper, the research areas of privacy risk detection will be examined in more detail. For this purpose, the state of the art of privacy sensitive information detection is elaborated and then analyzed by means of a specifically developed classification scheme to identify research gaps and trends. As a result, several research gaps and trends have been identified, demonstrating that further research is required to develop user tailored privacy enhancing tools and ensure adequate privacy protection.

Enhancing trust among service providers and end-users with respect to data protection is an urgent matter in the growing information society. In response, CREDENTIAL proposes an innovative cloud-based service for storing, managing, and sharing of digital identity information and other highly critical personal data with a demonstrably higher level of security than other current solutions. CREDENTIAL enables end-to-end confidentiality and authenticity as well as improved privacy in cloud-based identity management and data sharing scenarios. In this paper, besides clarifying the vision and use cases, we focus on the adoption of CREDENTIAL. Firstly, for adoption by providers, we elaborate on the functionality of CREDENTIAL, the services implementing these functions, and the physical architecture needed to deploy such services. Secondly, we investigate factors from related research that could be used to facilitate CREDENTIAL's adoption and list key benefits as convincing arguments.

The market for smart phones has been booming in the past few years. There are now over 400,000 applications on the Android market. Over 10 billion Android applications have been downloaded from the Android market. Due to the Android popularity, there are now a large number of malicious vendors targeting the platform. Many honest end users are being successfully hacked on a regular basis. In this work, a cloud based reputation security model has been proposed as a solution which greatly mitigates the malicious attacks targeting the Android market. Our security solution takes advantage of the fact that each application in the android platform is assigned a unique user id (UID). Our solution stores the reputation of Android applications in an anti-malware providers' cloud (AM Cloud). The experimental results witness that the proposed model could well identify the reputation index of a given application and hence its potential of being risky or not.