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Safety Measures for Social Computing in Wiki Learning Environment

机译:Wiki学习环境中社交计算的安全措施

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摘要

Wikis are social networking systems that allow users to freely intermingle at different levels of communication such as collaborative learning, chatting, and group communications. Although a great idea and goal, it's particularly vulnerable due to its features of open medium and lack of clear plan of defense. Personal data can be misused for virtual insulting, resulting in misuse of personal information for financial gains or creating misuses. Wikis are an example of social computing of collaborative learning, joint editing, brain storming, and virtual socializing, which is a ripe environment for hacking, deception, abuse, and misuse. Thus, wiki needs comprehensive security measures which include privacy, trust, security, audit, and digital forensics to protect users and system resources. This paper identifies and explores the needs of secure social computing and supporting information systems as places for interaction, data collection, and manipulation for wikis. It does this by reviewing the literature and related works in proposing a safety measure framework for a secure and trustworthy medium together with privacy, audit, and digital forensic investigative functions in wiki environments. These then can aid design and usage in social computing environments with the proviso to give comfort and confidence to users without worrying about abuse and cybercrime perpetrated activities.
机译:Wiki是社交网络系统,它使用户可以自由地混合在不同级别的通信中,例如协作学习,聊天和小组通信。尽管这是一个不错的主意和目标,但由于其开放媒体的特点以及缺乏清晰的防御计划,因此特别容易受到攻击。个人数据可能被滥用以进行虚拟侮辱,从而导致个人信息滥用以获取经济利益或造成滥用。 Wiki是协作学习,联合编辑,头脑风暴和虚拟社交的社交计算的一个示例,这是黑客,欺骗,滥用和滥用的成熟环境。因此,Wiki需要全面的安全措施,包括隐私,信任,安全,审核和数字取证,以保护用户和系统资源。本文确定并探讨了安全的社交计算和支持信息系统的需求,这些需求是用于Wiki进行交互,数据收集和操纵的场所。为此,它通过回顾文献和相关工作,为Wiki环境中的安全可靠的媒体提出了安全措施框架,并提供了隐私,审计和数字取证调查功能。然后,这些附带条件便可以帮助在社交计算环境中进行设计和使用,从而使用户感到舒适和放心,而不必担心滥用行为和网络犯罪行为。

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