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Big Data Analytics: Security and privacy challenges

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Added on  2021-06-16

Big Data Analytics: Security and privacy challenges

   Added on 2021-06-16

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Security & Privacy Issues in AnalyticsSecurity and Privacy Issues in AnalyticsStudent NameUniversity NameDate1 | P a g e
Big Data Analytics: Security and privacy challenges_1
Security & Privacy Issues in AnalyticsExecutive SummaryThe pressure to divide or share the health information is growing, and even makes sensitive datapublicly available. Even though, the disclosure of this personal health-related information raisesserious privacy issues. In order to alleviate this concern, users can disclose anonymous databefore. The popular anonymous method is k-anonymity. The real re-identification prospect of thek-anonymous data set was not evaluated. This report includes the development of anorganizational implementation guide to demonstrate how k-anonymity is used as a model forprivacy protection and how it can be implemented within the organization.2 | P a g e
Big Data Analytics: Security and privacy challenges_2
Security & Privacy Issues in AnalyticsContentsIntroduction......................................................................................................................................4Technology Overview.....................................................................................................................4ANDROID TECHNOLOGY.......................................................................................................5K-anonymity across an organization to protect the privacy of organizational data....................5Technology Solution........................................................................................................................7K-Anonymity Implementation Guide..............................................................................................8Conclusion.....................................................................................................................................11References......................................................................................................................................133 | P a g e
Big Data Analytics: Security and privacy challenges_3
Security & Privacy Issues in AnalyticsOption AIntroductionSocieties are experiencing exponential expansion in the amount and type of data collection thatincludes specific personal information, with computer technology, disk storage space andnetwork connectivity becoming more and more affordable. Data owners operate autonomouslyand have limited knowledge, but it is still difficult to publish information or data that neverinfringe privacy, national interests and confidential. In several cases, database survival alsodepends on the ability of the data holder to generate anonymous data, this because notcompletely releasing this information might reduce the demand for data, and then again, it failsto provide proper security or protection in the release version. It may cause damage to the publicor others (Chung, 2016). This study examines how Android SDK technology allows theimplementation of k-anonymity as a model for privacy protection.Technology OverviewPrivacy protection of personal data is accomplished through many technologies, such as k-anonymity, t-closeness, l-diversity, and so on, but the proposed technology is only implementedonly in a laptop or in a computer system. Nowadays people are more interested in carryingmobile devices rather than lab desktops because few of the work done by some laptops canlikewise be done through mobile devices such as file sharing, image and video sharing, and soon. , but sharing may lose data privacy. In order to provide protection for information, a certainend-goal is to use the policy k-anonymity, which selects k-esteem, where k-1 individual data isadditionally displayed at discharge. This technology is implemented by using the Android SDK.Whenever users request for the information, despite sending the original information or data, it issent anonymously (Run, 2012).4 | P a g e
Big Data Analytics: Security and privacy challenges_4

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