Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/353364
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dc.date.accessioned2021-12-30T07:09:02Z-
dc.date.available2021-12-30T07:09:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/353364-
dc.description.abstractThe Cloud prototype is growing extremely fast owing to its on-demand services. newlineSoftware-as-a Service (SaaS) is surrounded by the excellent and best ever rising field newlinein the epoch of Cloud computing. Companies are considering SaaS solutions which newlineprovide various advantages predominantly with decrease in cost and time. The major newlinefactor in the achievement of SaaS is based upon client s fulfilment. Security is found newlineas the major critical issue for SaaS in Cloud computing. SaaS in Cloud computing newlineprovides following benefits: efficient use of software licenses, modest tools, centralized newlinemanagement of data, multi-tenant solutions, minimal maintenance, easy upgrades and newlinescalability. newlineThe existing works on security in Cloud focuses on multi factor authentication, newlineverifying the access control, monitoring the data access, verifying the data deletion, newlinecontrolling the consumer access devices, security check events etc. However, these newlineservices are delayed and sometimes totally disrupted because of the Internet s newlineunavailability that provides opportunities for a lot of attacks. The range of intimidation newlinethat possibly attacks a network is considered as a hazardous. Worms, DoS or botnet newlineattacks are the subsets of threats that frequently occur in the networks. Further, there is newlinea need to implement a holistic solution for the model that allows malware prevention, newlinerisk assessment, malicious behaviour identification, data loss prevention and data newlineclassification. newlineImportant reasons for this gap could be due to the misconfigurations of Cloud services, newlinenot having an exit strategy; difficult to maintain noisy, voluminous and high newlinedimensionality data, increase in false positive percentage, lower attack detection rate, newlinepoor testing and training accuracy, less throughput which incurs in high delay. newlineInsufficient research exists; however, this research work is envisioned to fully newlineunderstand how attack detection, mitigation and risk assessment can be combined with newlinehybridised and enhanced soft computing techniques. newlineThis thesis has four contributio
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dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSaaS Security Solutions Through Soft Computing Techniques
dc.title.alternative
dc.creator.researcherReddy Saisindhutheja
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideGopal K Shyam
dc.publisher.placeBengaluru
dc.publisher.universityREVA University
dc.publisher.institutionSchool of Computing and Information Technology
dc.date.registered2017
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing and Information Technology

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01_title.pdfAttached File91.05 kBAdobe PDFView/Open
02_declaration.pdf121.88 kBAdobe PDFView/Open
03_acknoweledgements.pdf111.97 kBAdobe PDFView/Open
04_abstarct.pdf113.6 kBAdobe PDFView/Open
05_table of contents.pdf110.21 kBAdobe PDFView/Open
06_list of tables-figures-abbreviations.pdf129.03 kBAdobe PDFView/Open
07_chapter.1.pdf266.07 kBAdobe PDFView/Open
08_chapter.2.pdf171.55 kBAdobe PDFView/Open
09_chapter.3.pdf683.47 kBAdobe PDFView/Open
10_chapter.4.pdf737.3 kBAdobe PDFView/Open
11_chapter.5.pdf780.84 kBAdobe PDFView/Open
12_chapter.6.pdf1.03 MBAdobe PDFView/Open
13_chapter.7.pdf115.17 kBAdobe PDFView/Open
14_references.pdf252.5 kBAdobe PDFView/Open
15_publications.pdf109.04 kBAdobe PDFView/Open
80_recommendation.pdf327.51 kBAdobe PDFView/Open


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