Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks
Clustering is one among the most important strategies to improve the lifetime of wireless sensor networks (WSNs). The frequent occurrence of clustering and the subsequent interchange of data overload the sensor nodes and result in wasting power. WSNs are susceptible to attacks because of their resou...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/1/123 |
| _version_ | 1797625996019499008 |
|---|---|
| author | S. Radhika K. Anitha C. Kavitha Wen-Cheng Lai S. R. Srividhya |
| author_facet | S. Radhika K. Anitha C. Kavitha Wen-Cheng Lai S. R. Srividhya |
| author_sort | S. Radhika |
| collection | DOAJ |
| description | Clustering is one among the most important strategies to improve the lifetime of wireless sensor networks (WSNs). The frequent occurrence of clustering and the subsequent interchange of data overload the sensor nodes and result in wasting power. WSNs are susceptible to attacks because of their resource-constrained nature and large applications in critical military areas. The objective of the threats to the security of wireless sensor networks is to compromise the network by seizing information for misuse. Security features have become a major concern in these types of networks as it is important to protect sensitive data from unauthorized users. This paper aims to present an enriched clustering strategy to minimize the overhead caused by clustering, by formulating an effective cluster update schedule. It also focuses on the attacks that occur during an exchange of initialization messages with neighbors. Clustering of the network is carried out on the basis of the energy of sensor nodes. The nodes that are the heads of the cluster nodes are determined according to the characteristics of energy factors; hence, the role is frequently switched among the nodes of the cluster. To formulate the next cluster update schedule, a fuzzy inference system is employed, and this uses the energy factor of the node, the distance the node is placed from the sink, and the number of member nodes of the cluster. A mechanism is included during an exchange of initialization messages that detects any malicious node pretending to be a neighbor node. The proposed algorithm is evaluated using simulation, and it is found to produce an improved lifetime of 1700 time units. It is shown to conserve the energy of sensor nodes and protect them from unauthorized nodes posing as legitimate neighbors. |
| first_indexed | 2024-03-11T10:04:20Z |
| format | Article |
| id | doaj.art-d1e9a4dd65d54347bf66bb91935e2903 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T10:04:20Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d1e9a4dd65d54347bf66bb91935e29032023-11-16T15:11:25ZengMDPI AGElectronics2079-92922022-12-0112112310.3390/electronics12010123Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor NetworksS. Radhika0K. Anitha1C. Kavitha2Wen-Cheng Lai3S. R. Srividhya4Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, IndiaDepartment of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Chennai 603203, Tamil Nadu, IndiaDepartment of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, IndiaBachelor Program in Industrial Projects, National Yunlin University of Science and Technology, Douliu 640301, TaiwanDepartment of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, IndiaClustering is one among the most important strategies to improve the lifetime of wireless sensor networks (WSNs). The frequent occurrence of clustering and the subsequent interchange of data overload the sensor nodes and result in wasting power. WSNs are susceptible to attacks because of their resource-constrained nature and large applications in critical military areas. The objective of the threats to the security of wireless sensor networks is to compromise the network by seizing information for misuse. Security features have become a major concern in these types of networks as it is important to protect sensitive data from unauthorized users. This paper aims to present an enriched clustering strategy to minimize the overhead caused by clustering, by formulating an effective cluster update schedule. It also focuses on the attacks that occur during an exchange of initialization messages with neighbors. Clustering of the network is carried out on the basis of the energy of sensor nodes. The nodes that are the heads of the cluster nodes are determined according to the characteristics of energy factors; hence, the role is frequently switched among the nodes of the cluster. To formulate the next cluster update schedule, a fuzzy inference system is employed, and this uses the energy factor of the node, the distance the node is placed from the sink, and the number of member nodes of the cluster. A mechanism is included during an exchange of initialization messages that detects any malicious node pretending to be a neighbor node. The proposed algorithm is evaluated using simulation, and it is found to produce an improved lifetime of 1700 time units. It is shown to conserve the energy of sensor nodes and protect them from unauthorized nodes posing as legitimate neighbors.https://www.mdpi.com/2079-9292/12/1/123wireless sensor networksfuzzy logicclusteringenergy efficiencyhello floodattacks |
| spellingShingle | S. Radhika K. Anitha C. Kavitha Wen-Cheng Lai S. R. Srividhya Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks Electronics wireless sensor networks fuzzy logic clustering energy efficiency hello flood attacks |
| title | Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks |
| title_full | Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks |
| title_fullStr | Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks |
| title_full_unstemmed | Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks |
| title_short | Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks |
| title_sort | detection of hello flood attacks using fuzzy based energy efficient clustering algorithm for wireless sensor networks |
| topic | wireless sensor networks fuzzy logic clustering energy efficiency hello flood attacks |
| url | https://www.mdpi.com/2079-9292/12/1/123 |
| work_keys_str_mv | AT sradhika detectionofhellofloodattacksusingfuzzybasedenergyefficientclusteringalgorithmforwirelesssensornetworks AT kanitha detectionofhellofloodattacksusingfuzzybasedenergyefficientclusteringalgorithmforwirelesssensornetworks AT ckavitha detectionofhellofloodattacksusingfuzzybasedenergyefficientclusteringalgorithmforwirelesssensornetworks AT wenchenglai detectionofhellofloodattacksusingfuzzybasedenergyefficientclusteringalgorithmforwirelesssensornetworks AT srsrividhya detectionofhellofloodattacksusingfuzzybasedenergyefficientclusteringalgorithmforwirelesssensornetworks |