Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/533050
Title: Cluster Based Flood Reduction And Selfish Node Detection To Improve Open Shortest Path First LSA Algorithm
Researcher: Anu, P
Guide(s): Vimala, S
Keywords: Computer Science
Computer Science Theory and Methods
Engineering and Technology
University: Mother Teresa Womens University
Completed Date: 2022
Abstract: The ARPANET is the predecessor of the current Internet. Internet has experienced an exponential and dramatic growth which cannot be imagined. Thoughit was reserved only for the academic purpose initially, now it connects the whole world. As of now, there are billions and billions of users are connected to it and it has an impact in their daily lives. First it is used to access the information. But in the last two decades, new scientific and significant applications have been developed like Voice over IP, Electronic Commerce and Social Networking and so on. Furthermore, it paves way to online internet banking and online business which has the taken the world to its next level of comfort. As a consequence, the internet users need reliability, confidentiality and integrity from the internet service providers. Reliability incorporates the capacity to low latency service and very high bandwidth even due to hardware and software failure and it also facilitates secured data delivery in spite of malicious attacks. Some of these challenging difficulties are addressed in this research work. newline
Pagination: xviii, 165p.
URI: http://hdl.handle.net/10603/533050
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File19.56 kBAdobe PDFView/Open
02_certificate.pdf351.98 kBAdobe PDFView/Open
03_declaration.pdf289.92 kBAdobe PDFView/Open
04_acknowledgement.pdf243.07 kBAdobe PDFView/Open
05_contents.pdf202.96 kBAdobe PDFView/Open
06_list of tables.pdf314.67 kBAdobe PDFView/Open
07_list of figures.pdf193.12 kBAdobe PDFView/Open
08_abbreviations.pdf251.73 kBAdobe PDFView/Open
09_chapter 1.pdf643.14 kBAdobe PDFView/Open
10_chapter 2.pdf339.49 kBAdobe PDFView/Open
11_chapter 3.pdf512.91 kBAdobe PDFView/Open
12_chapter 4.pdf887.79 kBAdobe PDFView/Open
13_chapter 5.pdf583.99 kBAdobe PDFView/Open
14_chapter 6.pdf670.11 kBAdobe PDFView/Open
15_chapter 7.pdf553.47 kBAdobe PDFView/Open
16_chapter 8.pdf1.3 MBAdobe PDFView/Open
17_chapter 9.pdf153.06 kBAdobe PDFView/Open
18_chapter 10.pdf181.06 kBAdobe PDFView/Open
19_bibliography.pdf205.27 kBAdobe PDFView/Open
80_recommendation.pdf313.53 kBAdobe PDFView/Open
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