Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/499745
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dc.coverage.spatial
dc.date.accessioned2023-07-18T04:47:03Z-
dc.date.available2023-07-18T04:47:03Z-
dc.identifier.urihttp://hdl.handle.net/10603/499745-
dc.description.abstractThe Internet of Things (IoT) combines software and hardware for data collection and sharing, including networks, sensors and electronics. To interchange data within the network, physical devices with distinct IP addresses connect with outside parties through the internet. The IoT concept has gained importance in the development of smart environments, including smart cities and households, which encompass a variety of application fields. By addressing issues with the living environment, industrial needs, and energy consumption, such smart settings aim to make daily activities in human life more creative and competitive. newlineThe major goal is clearly evident due to the dramatic increase of IoT services and applications across different networks. Furthermore, IoT systems are exposed to a variety of security vulnerabilities, including flooding and probing attacks. These types of attacks unquestionably cause serious harm to IoT devices and the applications that enable heterogeneous devices in an IoT ecosystem. These system entities are open to severe attacks due to a lack of security measures newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Framework for Attack Detection in Iot Using Optimal Feature Selection Approach and Random Forest Algorithm
dc.title.alternative
dc.creator.researcherSandhya, E
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideAnnapurani Panaiyappan, K
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File171.34 kBAdobe PDFView/Open
02_preliminary page.pdf.pdf361.94 kBAdobe PDFView/Open
03_content.pdf231.64 kBAdobe PDFView/Open
04_abstract.pdf204.89 kBAdobe PDFView/Open
05_chapter 1.pdf1.05 MBAdobe PDFView/Open
06_chapter 2.pdf737.73 kBAdobe PDFView/Open
07_chapter 3.pdf1.08 MBAdobe PDFView/Open
08_chapter 4.pdf1.06 MBAdobe PDFView/Open
09_chapter 5.pdf217.11 kBAdobe PDFView/Open
10_annexures.pdf263.1 kBAdobe PDFView/Open
80_recommendation.pdf254.91 kBAdobe PDFView/Open


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