8th International Conference on High-Capacity Optical Networks and Emerging Technologies 2011
DOI: 10.1109/honet.2011.6149828
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Protecting privacy of children in social networking sites with rule-based privacy tool

Abstract: With the growing use of social networking sites (SNS) such as Facebook, MyS p ace and Twitter, p rivacy issues havebecome a major concern es p ecially for children nowadays. There is no doubt that this new form of communication is gaining p opularity nowadays. SNS offer many benefits such as reconnecting long lost friends and communicating with each other by just sitting in front of the screen. However, it raises many ethical and social issues and p rivacy is one of them. Users are often ex p osed to various t… Show more

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Cited by 5 publications
(3 citation statements)
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“…Besides, with the explosive use of online social networks, the risk of privacy infringement against children is greater. Their personal identifiable information is easily available, accessible and open to being abused or stolen over online social networks (Zakaria, Yew, Alias, & Husain, 2011).…”
Section: Online Privacy For Children In the United States -Brief Compmentioning
confidence: 99%
“…Besides, with the explosive use of online social networks, the risk of privacy infringement against children is greater. Their personal identifiable information is easily available, accessible and open to being abused or stolen over online social networks (Zakaria, Yew, Alias, & Husain, 2011).…”
Section: Online Privacy For Children In the United States -Brief Compmentioning
confidence: 99%
“…Another popular approach for privacy involves rule-based access control, which may be either hard-coded or dynamic (e.g. expert-systems) [9]. A more systemic approach to the medical privacy protection is proposed in [10], which is based on the Privacy by Design (PbD) framework.…”
Section: Related Workmentioning
confidence: 99%
“…Zakaria et.al suggested a rule-based privacy tool for the parents or legal guardians to decide on online content sharing (2011). Zakaria et.al categorised the level of privacy into the following settings: TABLE 8 : Level of Privacy(Zakaria et. Al, 2011) …”
mentioning
confidence: 99%