{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:11:41Z","timestamp":1777705901972,"version":"3.51.4"},"reference-count":18,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,7,2]]},"abstract":"<jats:p>A jamming attack is a special case of a Denial of Service (DoS) attack that completely blocks the data transmission in Wireless Sensor Networks (WSNs). When sensor nodes are distributed in the field, numerous attacks, such as collision, black hole, selective forwarding, jamming, etc., caused by the presence of malicious nodes have the potential to cause network damage. Jamming is a highly risky attack that completely blocks data transmission within the wireless network. The existing technique for detecting jamming attacks are based on predetermined hopping-sequence, cryptographic, or random frequency hopping techniques. However, these mechanisms are more complex and frequently have energy constraints and high overhead. A novel jamming detection method based on a statistical approach that provides high network performance measures is proposed. It is a technique that uses energy-based clustering with a Received Signal Strength Indicator (RSSI). The selection of thresholds used for the detection of jamming is analyzed. The proposed approach employs three detection performance metrics for investigating the jamming attack, namely, Packet to Delivery Ratio (PDR), ENERGY, and RSSI. The jamming node is identified using the Optimal Decision Rule (ODR), which is determined by the hypothesis rule. If the hypothesis is not satisfied, then jamming exists; otherwise, there is no jamming. The novel technique is implemented using a Network Simulator, and various performance metrics such as PDR, Energy consumption, Network throughput, Routing overhead, network, and node lifetime are evaluated to conclude that the statistical approach outperforms the timestamp and IEWMA approaches.<\/jats:p>","DOI":"10.3233\/jifs-220443","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T12:12:38Z","timestamp":1682683958000},"page":"199-213","source":"Crossref","is-referenced-by-count":0,"title":["Investigation on jamming detection in WSN using optimal decision rule"],"prefix":"10.1177","volume":"45","author":[{"given":"S.G.","family":"Hymlin Rose","sequence":"first","affiliation":[{"name":"Department of ECE, R.M.D. Engineering College, Chennai, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Jayasree","sequence":"additional","affiliation":[{"name":"Department of ECE, Government College of Engineering, Tirunelveli, Tamilnadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-220443_ref1","unstructured":"Huang L. , Li J. and Guizani M. , Secure and Efficient Data Transmission for Cluster-based Wireless Sensor Networks, IEEE Trans Parallel and Distri Syst, 2012."},{"issue":"6","key":"10.3233\/JIFS-220443_ref2","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MWC.2004.1368895","article-title":"Designing secure sensor networks","volume":"11","author":"Shi","year":"2004","journal-title":"IEEE Wireless Communications"},{"key":"10.3233\/JIFS-220443_ref3","doi-asserted-by":"crossref","first-page":"3444","DOI":"10.3390\/s100403444","article-title":"Information Warfare-Worthy Jamming Attack Detection Mechanism for Wireless Sensor Networks Using a Fuzzy Inference System","author":"Misra","year":"2010","journal-title":"Journal of Sensors"},{"issue":"14","key":"10.3233\/JIFS-220443_ref4","first-page":"11454","article-title":"A Novel Wireless Sensor Networks Anti-jamming Technique Based on a Hybrid DS-CDMA\/OFDM\/FH","volume":"13","author":"Yasin","year":"2018","journal-title":"International Journal of Applied Engineering Research"},{"issue":"4","key":"10.3233\/JIFS-220443_ref5","first-page":"1369","article-title":"Jamming Detection System in Wireless Sensor Networks","volume":"3","author":"Vijayakumar","year":"2014","journal-title":"International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)"},{"key":"10.3233\/JIFS-220443_ref6","volume-title":"Journal of Adhoc Networks","author":"Rose","year":"2019"},{"key":"10.3233\/JIFS-220443_ref7","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/SERA.2016.7516138","article-title":"A hybrid DS-FH-THSS approach anti-jamming in Wireless Sensor Networks","author":"Rouissi","year":"2016","journal-title":"Software Engineering Research, Management and Applications (SERA), 2016 IEEE 14th International Conference on"},{"key":"10.3233\/JIFS-220443_ref8","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.comnet.2017.03.009","article-title":"Optimal decision rule-based ex-ante frequency hopping for jamming avoidance in wireless sensor networks,","volume":"128","author":"Bhavathankar","year":"2017","journal-title":"Computer Networks"},{"issue":"13","key":"10.3233\/JIFS-220443_ref9","doi-asserted-by":"crossref","first-page":"0975","DOI":"10.5120\/ijca2016908117","article-title":"Early Detection of DDoS Attack in WSN","volume":"134","author":"Kaushal","year":"2016","journal-title":"International Journal of Computer Applications"},{"issue":"3","key":"10.3233\/JIFS-220443_ref10","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/MNET.2006.1637931","article-title":"Jamming sensor networks: attack and defense strategies","volume":"20","author":"Xu","year":"2006","journal-title":"IEEE Network"},{"key":"10.3233\/JIFS-220443_ref11","first-page":"46","article-title":"The feasibility of launching and detecting jamming attacks in wireless networks. MobiHoc \u201905","author":"Xu","journal-title":"Proceedings of the Sixth ACM International Symposium on Mobile ad hoc Networking and Computing"},{"key":"10.3233\/JIFS-220443_ref12","unstructured":"Rajani M. and Lisa A.O. , Jamming attack detection and countermeasures in wireless sensor network using ant system. 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