Major Security Issue That Facing Social Networks with Its Main Defense Strategies

The Social Network Service "SNS" has enabled significant advancements in a wide variety of scientific fields, and as a result, it has become an extremely popular subject in both academia and business. SNSs can be extremely beneficial to users because they eliminate economic and geographical barriers and can be used for job searching, entertainment and education. Regardless of the economic and social benefits, protecting businesses and users\u27 security and privacy remains a critical issue that must be addressed. It is critical to address and evaluate social network service challenges, as they vary according to the variety of SNS sites. Thus, by discussing SNS challenges alongside available and potential solutions, users, developers, and businesses can identify relevant and timely responses to specific threats, resulting in the best SNS-based services possible. The objective of this article is to discuss the inherent challenges of social networking sites and some critical solutions for resolving them. We extracted and analyzed seminal papers to add to the corpus of literature by focusing on several critical challenges in the social network service domain and shedding light on how these challenges affect a variety of domains, including users, sites, and business. The most frequently mentioned difficulties concerned privacy risks, anonymity risks, malware, spam, identity theft, phishing, business data, social content, technical issues, and psychological difficulties. By incorporating previously discovered solutions, this paper addressed these issues. The implications for both researchers and practitioners have been discussed

Steganographer Identification

Conventional steganalysis detects the presence of steganography within single objects. In the real-world, we may face a complex scenario that one or some of multiple users called actors are guilty of using steganography, which is typically defined as the Steganographer Identification Problem (SIP). One might use the conventional steganalysis algorithms to separate stego objects from cover objects and then identify the guilty actors. However, the guilty actors may be lost due to a number of false alarms. To deal with the SIP, most of the state-of-the-arts use unsupervised learning based approaches. In their solutions, each actor holds multiple digital objects, from which a set of feature vectors can be extracted. The well-defined distances between these feature sets are determined to measure the similarity between the corresponding actors. By applying clustering or outlier detection, the most suspicious actor(s) will be judged as the steganographer(s). Though the SIP needs further study, the existing works have good ability to identify the steganographer(s) when non-adaptive steganographic embedding was applied. In this chapter, we will present foundational concepts and review advanced methodologies in SIP. This chapter is self-contained and intended as a tutorial introducing the SIP in the context of media steganography.Comment: A tutorial with 30 page

Cyber Security Concerns in Social Networking Service

Today’s world is unimaginable without online social networks. Nowadays, millions of people connect with their friends and families by sharing their personal information with the help of different forms of social media. Sometimes, individuals face different types of issues while maintaining the multimedia contents like, audios, videos, photos because it is difficult to maintain the security and privacy of these multimedia contents uploaded on a daily basis. In fact, sometimes personal or sensitive information could get viral if that leaks out even unintentionally. Any leaked out content can be shared and made a topic of popular talk all over the world within few seconds with the help of the social networking sites. In the setting of Internet of Things (IoT) that would connect millions of devices, such contents could be shared from anywhere anytime. Considering such a setting, in this work, we investigate the key security and privacy concerns faced by individuals who use different social networking sites differently for different reasons. We also discuss the current state-of-the-art defense mechanisms that can bring somewhat long-term solutions to tackling these threats