An Experimental Network Analysis-based Approach for Detection of Jamming Attacks in Wireless Sensor Networks | ||
| IJCI. International Journal of Computers and Information | ||
| Articles in Press, Accepted Manuscript, Available Online from 19 January 2025 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ijci.2025.315056.1172 | ||
| Authors | ||
| Elham Elsayed Hamza* 1; Arabi Elsayed Keshk2; Anas Youssef2 | ||
| 1Computer Science Department, Faculty of Computers and Information, Menoufia University, Egypt | ||
| 2Computer Science dept. Faculty of Computers and Information, Menofia University, Egypt | ||
| Abstract | ||
| Wireless sensor networks (WSNs) have emerged as a cutting-edge networking solution with numerous applications in various domains. Such domains include environment, military operations, healthcare, and agriculture. However, WSNs consist of sensor nodes that are susceptible to multiple security risks, because they are often deployed in hostile and unattended locations, and they possess limited resources. The jamming attack is among the most recognized types of attack, which disrupts and diminishes the effectiveness of the normal operations of sensor nodes in WSNs. A jamming attack is characterized by sending signals to interfere with legitimate communications, potentially resulting in a denial of service for one or more nodes in the network. This paper proposes an experimental network analysis-based approach to detect jamming attacks in WSNs. This approach identifies anomalies that indicate the existence of jamming attacks by analyzing a set of network statistics. The analyzed statistics include Packet Delivery Ratio (PDR), Signal to Noise ratio (SNR), and Packet Error Rate (PER) of packets received by sensor nodes. The detection process targets two different types of jamming attacks, namely constant and random jamming attacks. The proposed approach is compared with the Exponentially Weighted Moving Average (EWMA) statistical approach. Simulation results from the trace-based OMNeT++ discrete event simulator demonstrated that the proposed approach effectively and accurately detects jamming attacks in WSNs while reducing detection overhead. The Proposed Approach consistently delivers more packets compared to EWMA across all time intervals the Proposed Approach achieves approximately 6000 packets delivered, whereas EWMA is around 5200 packets | ||
| Keywords | ||
| Wireless Sensor Network; Exponentially Weighted Moving Average; Jamming Attack; Constant Jamming; Random Jamming | ||
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