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  • 标题:Performance Evaluation of Rule Enforced Information Flow Control System With Tagged Service Data For CSPs
  • 本地全文:下载
  • 作者:Kirtibala Mali ; Prof. Anurag Jain
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:2
  • 页码:692-699
  • 出版社:TechScience Publications
  • 摘要:According to the volume of users gets expanded, theframework makes more surface area for security attacks.Also, the cloud is trusted third party area and if some attackeror engineer causes the theft or leakages of their sensitiveinformation lessens the trust over the framework. Informationflow control (IFC) is one such area which monitors the flowand other effective factors to manage the informationexchanges between the components of the software or cloudbased systems. It guarantees confidentiality and integrity, bothwith a clear isolation between the client interaction with theframework. Essentially it separates the traffic created bydiverse users or components by utilizing the tagging orlabelling mechanism. By traffic, this categorization is madesimple and cost effective. After the categorization isaccomplished, the information is isolated into multiple objectshaving a place with diverse subjects. Beforehand, theredifferent mechanisms created to give effective IFC. Yet at thesame time there are some issues related with clear separationof a client's interaction, order of flow information, sorting thetraffic classes, implicit tagging, covert channel, over and underlabelling and so forth. This work recommends a simplifiedstandard based distributed information flow control for cloudcomputing. Here the different rules are framed for guiding theinformation flow and achieves clear order with higheraccuracy. At the analytical level of evaluation, the approach isserving everything the needs of effective flow controlmechanism and later prototype will legitimize the same.
  • 关键词:Cloud Computing; Cloud security; Confidentiality;Integrity Information Flow Control (IFC); Labelling;Classification; Rule Based; Virtual Machines(VM).
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