Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/590836
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dc.coverage.spatial
dc.date.accessioned2024-09-23T09:02:17Z-
dc.date.available2024-09-23T09:02:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/590836-
dc.description.abstractTremendous progress in low-cost, smart, Internet-enabled camera sensors and mobile newline newlinedevices has caused increased popularity for various Internet of things (IoT) applica- newlinetions such as video surveillance, video crowdsensing, and habitat monitoring. How- newlineever, IoT sensors are limited in memory, processing capability and energy supply. newline newlineHence, the inherent characteristics of multimedia data impose several critical chal- newlinelenges in the development of source coding schemes for use in camera sensors with newline newlineextremely tight resource budget. Furthermore, the transmission of data on insecure newlinewireless channels causes serious security threats. Therefore, there is a great need to newlinedevelop a secure, lightweight, and energy-conserving encoding scheme, possibly at newlinethe cost of the powerful decoder. newline newlineThe conventional approach for reducing the encoder complexity and overall en- newlineergy consumption is to incorporate distributed video coding (DVC) techniques in newline newlinecamera sensors. While DVC exploits the source statistics at the decoder and re- newlineduces the burden on the encoder, it suffers from increased transmission cost and newline newlinelatency. Moreover, IoT sensors cannot handle the huge computing and memory re- newlinequirements of multimedia cryptographic protocols to guaranty data confidentiality. newline newlineThe stringent requirement of computationally inexpensive, energy efficient, and se- newlinecure source coding scheme has attracted great attention to the emerging compressive newline newlinesensing (CS) framework. CS is a promising joint compression-encryption paradigm newlinethat can achieve substantial reduction in the overall structural complexity and energy newlineconsumption of sensing devices. newline newlineThis research work is focused on the design and implementation of CS-based en- newlineergy efficient secure source coding schemes for multimedia IoT. newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleCompressive sensing based secure and lightweight source coding schemes for wireless camera sensors
dc.title.alternative
dc.creator.researcherSatish, Unde Amit
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordSRM
dc.description.note
dc.contributor.guideP P, Deepthi
dc.publisher.placeCalicut
dc.publisher.universityNational Institute of Technology Calicut
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered2014
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

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01_title.pdfAttached File46.51 kBAdobe PDFView/Open
02_prelim pages.pdf216.65 kBAdobe PDFView/Open
03_content.pdf32.11 kBAdobe PDFView/Open
04_abstract.pdf32.86 kBAdobe PDFView/Open
05_chapter 1.pdf423.23 kBAdobe PDFView/Open
06_chapter 2.pdf1.18 MBAdobe PDFView/Open
07_chapter 3.pdf1.81 MBAdobe PDFView/Open
08_chapter 4.pdf1.55 MBAdobe PDFView/Open
09_chapter 5.pdf3.14 MBAdobe PDFView/Open
10_chapter 6.pdf571.73 kBAdobe PDFView/Open
11_chapter 7.pdf2.31 MBAdobe PDFView/Open
12_annnexures.pdf97.77 kBAdobe PDFView/Open
80_recommendation.pdf82.26 kBAdobe PDFView/Open


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