RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network
Wireless sensor networks involved every part of application in today’s life. This can detect the various type of information from environment and communicated to users in real time. Information is stored by using cloud technology and that can be accessed by the users. The information is prone to att...
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Veröffentlicht in: | Soft computing (Berlin, Germany) Germany), 2020-07, Vol.24 (14), p.10681-10691 |
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description | Wireless sensor networks involved every part of application in today’s life. This can detect the various type of information from environment and communicated to users in real time. Information is stored by using cloud technology and that can be accessed by the users. The information is prone to attacks as they are part of cooperative communication. Building algorithms at node level is not secured as they transfer data in open traffic. This has provided scope for this study to concentrate on algorithms that are available for denial-of-service attacks as they put down the network performance to a less minimum. The paper henceforth proposes optimized energy-based constraint DoS (denial-of-service) detection algorithm, i.e., OBES algorithm for handling denial-of-service attacks that learns the network traffic and manages the intruders. This has been compared with denial-of-service attack detection with energy constraint in WSN. The implementation has been done in NS2. The performance has been presented in terms of nodes, interval and lifetime. From results, it can be observed that the proposed OBES algorithm is efficient as it achieves more available energy, less delay, less packet loss and more lifetime for the network. From results, it can be observed that OBES algorithm performs well compared to denial-of-service attack detection with energy constraint algorithm. |
doi_str_mv | 10.1007/s00500-019-04573-4 |
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This has been compared with denial-of-service attack detection with energy constraint in WSN. The implementation has been done in NS2. The performance has been presented in terms of nodes, interval and lifetime. From results, it can be observed that the proposed OBES algorithm is efficient as it achieves more available energy, less delay, less packet loss and more lifetime for the network. 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M.</creatorcontrib><title>RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network</title><title>Soft computing (Berlin, Germany)</title><addtitle>Soft Comput</addtitle><description>Wireless sensor networks involved every part of application in today’s life. This can detect the various type of information from environment and communicated to users in real time. Information is stored by using cloud technology and that can be accessed by the users. The information is prone to attacks as they are part of cooperative communication. Building algorithms at node level is not secured as they transfer data in open traffic. This has provided scope for this study to concentrate on algorithms that are available for denial-of-service attacks as they put down the network performance to a less minimum. The paper henceforth proposes optimized energy-based constraint DoS (denial-of-service) detection algorithm, i.e., OBES algorithm for handling denial-of-service attacks that learns the network traffic and manages the intruders. This has been compared with denial-of-service attack detection with energy constraint in WSN. The implementation has been done in NS2. The performance has been presented in terms of nodes, interval and lifetime. From results, it can be observed that the proposed OBES algorithm is efficient as it achieves more available energy, less delay, less packet loss and more lifetime for the network. 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M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network</atitle><jtitle>Soft computing (Berlin, Germany)</jtitle><stitle>Soft Comput</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>24</volume><issue>14</issue><spage>10681</spage><epage>10691</epage><pages>10681-10691</pages><issn>1432-7643</issn><eissn>1433-7479</eissn><abstract>Wireless sensor networks involved every part of application in today’s life. This can detect the various type of information from environment and communicated to users in real time. Information is stored by using cloud technology and that can be accessed by the users. The information is prone to attacks as they are part of cooperative communication. Building algorithms at node level is not secured as they transfer data in open traffic. This has provided scope for this study to concentrate on algorithms that are available for denial-of-service attacks as they put down the network performance to a less minimum. The paper henceforth proposes optimized energy-based constraint DoS (denial-of-service) detection algorithm, i.e., OBES algorithm for handling denial-of-service attacks that learns the network traffic and manages the intruders. This has been compared with denial-of-service attack detection with energy constraint in WSN. The implementation has been done in NS2. The performance has been presented in terms of nodes, interval and lifetime. From results, it can be observed that the proposed OBES algorithm is efficient as it achieves more available energy, less delay, less packet loss and more lifetime for the network. 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subjects | Accuracy Algorithms Artificial Intelligence Bandwidths Communication Communications traffic Computational Intelligence Control Data transmission Denial of service attacks Energy consumption Engineering Mathematical Logic and Foundations Mechatronics Methodologies and Application Network security Robotics Sensors Wireless sensor networks |
title | RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network |
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