By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Fresh data on Knowledge Engineering are presented in a new report. According to news reporting out of Kaohsiung, Taiwan, by VerticalNews editors, research stated, "Due to the proliferation of online social networking, a large number of personal data are publicly available. As such, personal attacks, reputational, financial, or family losses might occur once this personal and sensitive information falls into the hands of malicious hackers."
Our news journalists obtained a quote from the research from Kaohsiung National University, "Research on Privacy-Preserving Network Publishing has attracted much attention in recent years. But most work focus on node de-identification and link protection. In academic social networks, business transaction networks, and transportation networks, etc, node identities and link structures are public knowledge but weights and shortest paths are sensitive. In this work, we study the problem of k-anonymous path privacy. A published network graph with k-anonymous path privacy has at least k indistinguishable shortest paths between the source and destination vertices . In order to achieve such privacy, three different strategies of modification on edge weights of directed graphs are proposed. Numerical comparisons show that weight-proportional-based strategy is more efficient than PageRank-based and degree-based strategies."
According to the news editors, the research concluded: "In addition, it is also more efficient and causes less information loss than running on un-directed graphs."
For more information on this research see: Shortest Paths Anonymization On Weighted Graphs. International Journal of Software Engineering and Knowledge Engineering, 2013;23(1):65-79. International Journal of Software Engineering and Knowledge Engineering can be contacted at: World Scientific Publ Co Pte Ltd, 5 Toh Tuck Link, Singapore 596224, Singapore. (World Scientific Publishing - www.worldscientific.com/; International Journal of Software Engineering and Knowledge Engineering - www.worldscinet.com/ijseke/ijseke.shtml)
Our news journalists report that additional information may be obtained by contacting S.L. Wang, Kaohsiung National University, Dept. of Comp Sci & Informat Engn, Kaohsiung 81148, Taiwan.
Keywords for this news article include: Asia, Taiwan, Kaohsiung, Knowledge Engineering
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