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http://hdl.handle.net/10603/457232
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Performance analysis of qos parameters for detecting dos attacks using intrusion detection systems in wireless sensor networks | |
dc.date.accessioned | 2023-02-08T08:07:39Z | - |
dc.date.available | 2023-02-08T08:07:39Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/457232 | - |
dc.description.abstract | Wireless Sensor Networks (WSNs) are emerging as a newlinecommendable choice for monitoring and surveillance application. WSNs are a newlinepromising candidate in healthcare, agriculture, and military areas. The reason newlinefor the growing popularity of WSN is the lightweight sensor nodes (SNs). newlineThese small sized cost-effective SNs are battery constrained devices with newlinelimited computation power and work within short range using wireless newlinecommunication. These SNs are spatially dispersed in a hostile environment newlinewhere there is no involvement of human being. newlineThe primary motive of these SNs is to sense the physical newlineoccurrences in the region-of-interest and perform processing after that newlinetransfers the sensed data to the base station. In WSNs, multi-hop newlinecommunication is preferred for a scalable network. Further, SNs are resource newlineconstraints regarding power, computation energy, communication energy, and newlinestorage space. newlineThe SNs in WSNs are easily approachable by various attackers newlinebecause SNs are unattended in the hostile environment. The WSN do many newlinedata transfers that contain sensitive and personal information. Even if there is newlinea restriction to access the service, the malicious user can easily capture SNs, newlinealtering information that is being communicated and reduce the capability to newlinedegrade the service on the network. newline | |
dc.format.extent | xvii,176p. | |
dc.language | English | |
dc.relation | p.166-175 | |
dc.rights | university | |
dc.title | Performance analysis of qos parameters for detecting dos attacks using intrusion detection systems in wireless sensor networks | |
dc.title.alternative | ||
dc.creator.researcher | Premkumar M | |
dc.subject.keyword | Wireless Sensor Networks | |
dc.subject.keyword | Dos Attacks | |
dc.subject.keyword | Qos Parameters | |
dc.description.note | ||
dc.contributor.guide | Sundararajan T V P | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 114.68 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.13 MB | Adobe PDF | View/Open | |
03_content.pdf | 13.63 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 206.94 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 509.86 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 383.19 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 814.58 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.06 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 830.19 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 476.14 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 180.89 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 148.17 kB | Adobe PDF | View/Open |
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