Intrusion Prevention and Detection in Wireless Sensor Networks

The broadcast nature of the transmission medium in wireless sensor networks makes information more vulnerable than in wired applications. In this dissertation we first propose a distributed, deterministic key management protocol designed to satisfy authentication and confidentiality, without the need of a key distribution center. Next we propose Scatter, a secure code authentication scheme for efficient reprogramming sensor networks. Scatter avoids the use of Elliptic Key Cryptography and manages to surpass all previous attempts for secure code dissemination in terms of energy consumption and time efficiency. Next we introduce the problem of intrusion detection in sensor networks. We define the problem formally based on a generic system model and we prove a necessary and sufficient condition for successful detection of the attacker. Finally we present the architecture and implementation of an intrusion detection system which is based on a distributed architecture and it is lightweight enough to run on the nodes

Sleep Deprivation Attack Detection in Wireless Sensor Network

Deployment of sensor network in hostile environment makes it mainly vulnerable to battery drainage attacks because it is impossible to recharge or replace the battery power of sensor nodes. Among different types of security threats, low power sensor nodes are immensely affected by the attacks which cause random drainage of the energy level of sensors, leading to death of the nodes. The most dangerous type of attack in this category is sleep deprivation, where target of the intruder is to maximize the power consumption of sensor nodes, so that their lifetime is minimized. Most of the existing works on sleep deprivation attack detection involve a lot of overhead, leading to poor throughput. The need of the day is to design a model for detecting intrusions accurately in an energy efficient manner. This paper proposes a hierarchical framework based on distributed collaborative mechanism for detecting sleep deprivation torture in wireless sensor network efficiently. Proposed model uses anomaly detection technique in two steps to reduce the probability of false intrusion.Comment: 7 pages,4 figures, IJCA Journal February 201