| Title | A Graph-based Approach to Detect DoB Attack |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Thomas, Diya |
| Conference Name | 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) |
| Date Published | mar |
| Keywords | anomaly detection, Attack Graphs, composability, Conferences, DoB, dynamic graph, Pervasive computing, Predictive Metrics, pubcrawl, quality of service, Resiliency, security, surveillance, Wireless sensor networks, WSN |
| Abstract | Wireless sensor networks (WSNs) are underlying network infrastructure for a variety of surveillance applications. The network should be tolerant of unexpected failures of sensor nodes to meet the Quality of Service (QoS) requirements of these applications. One major cause of failure is active security attacks such as Depletion-of-Battery (DoB) attacks. This paper model the problem of detecting such attacks as an anomaly detection problem in a dynamic graph. The problem is addressed by employing a cluster ensemble approach called the K-Means Spectral and Hierarchical ensemble (KSH) approach. The experimental result shows that KSH detected DoB attacks with better accuracy when compared to baseline approaches. |
| DOI | 10.1109/PerComWorkshops51409.2021.9430971 |
| Citation Key | thomas_graph-based_2021 |
A Graph-based Approach to Detect DoB Attack