A Multi-Level Intrusion Detection System for Wireless Sensor Networks Based on Immune Theory
Document Type
Article
Publication Date
8-2018
Keywords
Wireless sensor network, intrusion detection, security, Danger theory, artificial immune system, Internet of Things
Digital Object Identifier (DOI)
https://doi.org/10.1109/ACCESS.2018.2866962
Abstract
The human body has been, and will continue to be, a source of inspiration for researchers across various disciplines owing to its robustness and myriad of functions. While some of these advancements include the attempt to replicate the entire body to create an artificial self, some tend to use a few characteristics and theories and build upon an artificial subsystem. In this paper, an effort is made to secure a wireless sensor network (WSN) using an immune theory technique called Danger Theory. In other words, a multi-level intrusion detection system (IDS) is designed based on the functions of various immune cells. This is realized by monitoring WSN parameters, such as energy, volume of data and frequency of data transfer and developing an output based on their weights and concentrations which is a suitable basis for IDS design in WSNs.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
IEEE Access, v. 6, p. 47364-47373
Scholar Commons Citation
Alaparthy, Vishwa T. and Morgera, Salvatore D., "A Multi-Level Intrusion Detection System for Wireless Sensor Networks Based on Immune Theory" (2018). Electrical Engineering Faculty Publications. 24.
https://digitalcommons.usf.edu/ege_facpub/24
