Graduation Semester and Year




Document Type


Degree Name

Master of Science in Computer Science


Computer Science and Engineering

First Advisor

Donggang Liu


Non-dedicated medium of communication for Wireless Sensor Networks (WSN) makes them vulnerable to jamming attack where an adversary injects strong signal or noises to interfere with the transmission and thus block the channel. In applications such as border security, people are particularly interested in the areas where the channel is currently jammed. It is therefore crucial to be able to detect the jamming attacks as fast as possible. Existing studies have shown that the most effective indicator of jamming attacks is the packet delivery ratio (PDR). However, current PDR-based schemes use end-to-end packet delivery ratio, which requires one to observe the communication for a long period of time before any good decision can be made. In this thesis, a collaborative detection scheme is introduced. The main idea is to collectively evaluate the packet delivery ratio in a given area instead of a pair of nodes since the attacker often jams an area of their interest (not just two specific nodes). In other words, we use observations from other nodes, which allows us to detect jamming attacks in a much faster way. We have evaluated the feasibility and performance of our protocol on Telosb motes. The results show that we can effectively detect jamming attacks within one round of communication.


Computer Sciences | Physical Sciences and Mathematics


Degree granted by The University of Texas at Arlington