An Epidemic Approach For Transmission Dynamics Of Malware In Wireless Sensor Networks
Material type:
TextPublisher: Greater Noida Galgotias University, 2022Description: 160pSubject(s): Online resources: Click here to access online Summary: In recent decades, a lot of research has been done in the area of wireless sensor network
(WSN). The field of WSN has attracted many researchers because of its progress in the
capacity of sensors like more sensing power, effective communication and advanced
computational abilities. Many applications are using the WSN nowadays. WSN is
utilised in a variety of real-time applications to conduct tasks such as data collection,
vehicle tracking, and activity monitoring. Malware attacks, communication range,
reliability, and longevity of the nodes are just a few of the difficulties that WSN faces.
Numerous researchers have proposed various models, techniques, and approaches to
improve network performance. Whereas various factors were addressed in the
construction of these development and evolution, a few key issues were overlooked.
To address these flaws and to develop different models which are based on
epidemiologic concept, this study looked into current research activity on malware
(worms, viruses, and malicious codes) attacks.
| Item type | Current location | Call number | URL | Status | Date due | Barcode |
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THESIS
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Galgotia University Central Library School of Computing Science & Engineering | http://10.10.11.6/bitstream/handle/1/10499/Final%20Thersis_Shashank.pdf?sequence=1&isAllowed=y | Not For Loan | TH-40 |
In recent decades, a lot of research has been done in the area of wireless sensor network
(WSN). The field of WSN has attracted many researchers because of its progress in the
capacity of sensors like more sensing power, effective communication and advanced
computational abilities. Many applications are using the WSN nowadays. WSN is
utilised in a variety of real-time applications to conduct tasks such as data collection,
vehicle tracking, and activity monitoring. Malware attacks, communication range,
reliability, and longevity of the nodes are just a few of the difficulties that WSN faces.
Numerous researchers have proposed various models, techniques, and approaches to
improve network performance. Whereas various factors were addressed in the
construction of these development and evolution, a few key issues were overlooked.
To address these flaws and to develop different models which are based on
epidemiologic concept, this study looked into current research activity on malware
(worms, viruses, and malicious codes) attacks.
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