Securing smart home against sinkhole attack using weight‐based IDS placement strategy
Abstract Extensive use of the Internet of Things (IoT) in smart homes makes users' lives easy and comfortable. Yet, these resource‐constrained devices are prone to manifold security attacks. The sinkhole attack is one of the most destructive attacks that disrupt smart home operations, causing u...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-12-01
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| Series: | IET Wireless Sensor Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/wss2.12069 |
| _version_ | 1797391034522533888 |
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| author | Md. Shafiqul Islam Muntaha Tasnim Upama Kabir Mosarrat Jahan |
| author_facet | Md. Shafiqul Islam Muntaha Tasnim Upama Kabir Mosarrat Jahan |
| author_sort | Md. Shafiqul Islam |
| collection | DOAJ |
| description | Abstract Extensive use of the Internet of Things (IoT) in smart homes makes users' lives easy and comfortable. Yet, these resource‐constrained devices are prone to manifold security attacks. The sinkhole attack is one of the most destructive attacks that disrupt smart home operations, causing user dissatisfaction. Existing intrusion detection systems (IDS) cannot handle sinkhole attacks competently as they (i) do not consider the node capacity for being an IDS agent, leading to a low attack detection ratio, (ii) do not examine the sinkhole node's role when mitigating attacks, causing remaining network disconnection with the root node and (iii) do not consider replacing energy‐exhausted IDS nodes, causing connectivity loss of partial network with the root. This paper addresses these shortcomings and adequately presents a mechanism to handle sinkhole attacks. A formulation for assigning weights to network nodes based on their resources is proposed here. An IDS placement strategy is introduced to place IDS agents on particular resourceful nodes that extend network lifetime and enhance attack detection capability. We present a novel attack detection and mitigation strategy by ensuring network connectivity. The proposed mechanism achieves 95% attack detection accuracy and reduces false negative rates by 25% and energy consumption reasonably compared to the state‐of‐the‐art. |
| first_indexed | 2024-03-08T23:27:00Z |
| format | Article |
| id | doaj.art-b4d4283ba172489292eacb0639c39136 |
| institution | Directory Open Access Journal |
| issn | 2043-6386 2043-6394 |
| language | English |
| last_indexed | 2024-03-08T23:27:00Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Wireless Sensor Systems |
| spelling | doaj.art-b4d4283ba172489292eacb0639c391362023-12-14T17:16:33ZengWileyIET Wireless Sensor Systems2043-63862043-63942023-12-0113621623410.1049/wss2.12069Securing smart home against sinkhole attack using weight‐based IDS placement strategyMd. Shafiqul Islam0Muntaha Tasnim1Upama Kabir2Mosarrat Jahan3Department of Computer Science and Engineering University of Dhaka Dhaka BangladeshDepartment of Computer Science and Engineering University of Dhaka Dhaka BangladeshDepartment of Computer Science and Engineering University of Dhaka Dhaka BangladeshDepartment of Computer Science and Engineering University of Dhaka Dhaka BangladeshAbstract Extensive use of the Internet of Things (IoT) in smart homes makes users' lives easy and comfortable. Yet, these resource‐constrained devices are prone to manifold security attacks. The sinkhole attack is one of the most destructive attacks that disrupt smart home operations, causing user dissatisfaction. Existing intrusion detection systems (IDS) cannot handle sinkhole attacks competently as they (i) do not consider the node capacity for being an IDS agent, leading to a low attack detection ratio, (ii) do not examine the sinkhole node's role when mitigating attacks, causing remaining network disconnection with the root node and (iii) do not consider replacing energy‐exhausted IDS nodes, causing connectivity loss of partial network with the root. This paper addresses these shortcomings and adequately presents a mechanism to handle sinkhole attacks. A formulation for assigning weights to network nodes based on their resources is proposed here. An IDS placement strategy is introduced to place IDS agents on particular resourceful nodes that extend network lifetime and enhance attack detection capability. We present a novel attack detection and mitigation strategy by ensuring network connectivity. The proposed mechanism achieves 95% attack detection accuracy and reduces false negative rates by 25% and energy consumption reasonably compared to the state‐of‐the‐art.https://doi.org/10.1049/wss2.120696LoWPANInternet of Thingsintrusion detection systemnetwork securityRPLsinkhole attack |
| spellingShingle | Md. Shafiqul Islam Muntaha Tasnim Upama Kabir Mosarrat Jahan Securing smart home against sinkhole attack using weight‐based IDS placement strategy IET Wireless Sensor Systems 6LoWPAN Internet of Things intrusion detection system network security RPL sinkhole attack |
| title | Securing smart home against sinkhole attack using weight‐based IDS placement strategy |
| title_full | Securing smart home against sinkhole attack using weight‐based IDS placement strategy |
| title_fullStr | Securing smart home against sinkhole attack using weight‐based IDS placement strategy |
| title_full_unstemmed | Securing smart home against sinkhole attack using weight‐based IDS placement strategy |
| title_short | Securing smart home against sinkhole attack using weight‐based IDS placement strategy |
| title_sort | securing smart home against sinkhole attack using weight based ids placement strategy |
| topic | 6LoWPAN Internet of Things intrusion detection system network security RPL sinkhole attack |
| url | https://doi.org/10.1049/wss2.12069 |
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