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Although Online Social Network (OSN) services offer users a variety of benefits, they also bring new threats and privacy issues to the community. In this paper, we first define the data types in OSN services and the states of shared data with respect to Optimal, Under-shared, Over-shared, and Hybrid states. We also identify the facilitating, detracting, and preventive parameters that are responsible for the state transition of the data. We address that, in a reliable OSN service, a user should be able to set up his or her desired level of information sharing with a certain group of other users. However, it is not always clear to the ordinary users how to decide how much information they should reveal to others. Therefore, we propose an approach for helping OSN users determine their optimum levels of information sharing, taking into consideration the payoffs (potential Reward or Cost) based on the Markov decision process (MDP). [ABSTRACT FROM PUBLISHER]

Today, Online Social Network (OSN) services have evolved as the highest-growing medium, enabling various online activities on one platform. However, they also bring new threats and privacy issues to the community. In a reliable OSN service, a user should be able to set up his or her desired level of information sharing with a certain group of other users. Unfortunately, there are attackers that may attempt to expose OSN users' private information or conceal the information that the user would like to share with other users. Therefore, in this paper, we propose a game theoretic approach for helping OSN users determine their optimum policy on OSNs in terms of data sharing, based on a two-player (i.e., agent and opponent) zero-sum Markov game model. [ABSTRACT FROM PUBLISHER]

Due to the rapid emergence of Information Technology, cloud computing provides assorted advantages to service providers, developers, organizations, and customers with respect to scalability, flexibility, cost-effectiveness, and availability. However, it also introduces new challenges and concerns, especially in terms of security and privacy. One of the major security obstacles to widespread adoption of cloud computing is the lack of near-real-time audit ability. In particular, near-real-time cloud auditing, which provides timely evaluation results and rapid response, is the key to assuring the cloud. In this paper, we discuss security and privacy concerns in cloud computing and the current status of cloud auditing efforts. Next, we address the strategies for reliable cloud auditing and analyze the deficiencies of current approaches. We then discuss the summary of our case study with Amazon Cloud Watch, which is one of the most developed cloud-monitoring APIs. [ABSTRACT FROM PUBLISHER]

As the result of several technological developments, cloud computing provides numerous advantages to the service providers, developers, organizations, and users, via its scalability, flexibility, cost-effectiveness, availability, and so on. However, it also introduces new challenges and concerns with technology, policy, trust, and other related issues. In this particular paper, we address the trust issues for content-sharing services in a large-scale cloud-computing environment. The contents can be either executable or non-executable. Considering that executable contents that include malicious codes may cause security problems in the computing environment, we focus on the executable contents in this paper. First, we identify and describe the challenges towards trusted content-sharing services in the cloud-computing environment. We then propose novel approaches that can overcome the challenges we identify. Finally, we summarize our implementation that proves the feasibility of the proposed work. [ABSTRACT FROM AUTHOR]

In this research, we analyze the privacy and security vulnerabilities in current OSN services. Furthermore, we develop a framework that can provide trusted data management in OSN services. [ABSTRACT FROM PUBLISHER]