Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/466889
Title: Soft computing based security methods for the detection and protection of ddos attacks in the wireless sensor networks
Researcher: Beslin Pajila, P J
Guide(s): Golden Julie, E
Keywords: Engineering and Technology
Computer Science
Computer Science Software Engineering
Dos attacks
Security
Fuzzy
University: Anna University
Completed Date: 2022
Abstract: Now a days, Wireless Sensor Network(WSN) is consider as one of the most innovative technology. It is used in many applications like Military, monitoring the surrounding, Transportations, Medical applications, Environment Applications like atmosphere, oceans etc. Wireless Sensor Network comprises of thousands of low-cost nodes which is randomly installed in the environment. These sensor nodes are self organized and communicate with each other to gather the information in the environment surrounding them. It gathers information like temperature, pressure, moisture level etc. around them. Some of the characteristics of WSN are easy to use,it has senor nodes with very less energy, good computational power, distributed in nature etc. But still the WSN have issues like more energy consumption, collision, communication overhead and security. The sensor network could be designed either by cluster-based networks or by flat networks. The flat network has issues like increased crash and communication overload, less performance and it utilizes more energy. But in cluster-based networks, the nodes are separated into clusters. And it improves energy consumption, eliminates collision, decreases overhead in communication and increases the performance and lifetime of the network In general, Clustering is used to manage the challenges like load balancing, routing, network lifetime, etc. But Security is also considered as a very big issue in wireless sensor networks.Various attacks that enter the WSN and affect the sensor nodes. newline newline newline Dos attacks newlineSecurity newlineFuzzy newline newline
Pagination: xix,143p.
URI: http://hdl.handle.net/10603/466889
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.51 kBAdobe PDFView/Open
02_prelim pages.pdf1.07 MBAdobe PDFView/Open
03_content.pdf107.18 kBAdobe PDFView/Open
04_abstract.pdf188.19 kBAdobe PDFView/Open
05_chapter 1.pdf356.68 kBAdobe PDFView/Open
06_chapter 2.pdf367.8 kBAdobe PDFView/Open
07_chapter 3.pdf772.77 kBAdobe PDFView/Open
08_chapter 4.pdf689.27 kBAdobe PDFView/Open
09_chapter 5.pdf819.76 kBAdobe PDFView/Open
10_annexures.pdf124.44 kBAdobe PDFView/Open
80_recommendation.pdf110.19 kBAdobe PDFView/Open
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