A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems

Abstract

Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to limited computation resources. To address this problem, we develop a novel distributed network intrusion detection system based on the Wu–Manber algorithm. In the proposed system, the algorithm is divided into two steps; the first step is dedicated to a sensor node, and the second step is assigned to a base station. In addition, the first step is modified to achieve efficient performance under limited computation resources. We conduct evaluations with random string sets and actual intrusion signatures to show the performance improvement of the proposed method. The proposed method achieves a speedup factor of 25.96 and reduces 43.94% of packet transmissions to the base station compared with the previously proposed method. The system achieves efficient utilization of the sensor nodes and provides a structural basis of cooperative systems among the sensors.

Quantal Response Equilibrium-Based Strategies for Intrusion Detection in WSNs

“…In [19], Farooqi et al proposed a novel intrusion detection mechanism including online prevention and offline detection for securing WSNs from routing attacks. To obtain efficient performance under limited computation resources of sensor nodes, Kim et al [20] developed a Wu-Manber algorithmbased network intrusion detection system. By integrating system monitoring modules and intrusion detection modules in WSNs, Sun et al [21] proposed an extended Kalman filterbased mechanism to detect false injected data.…”

A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things

“…Therefore, the pattern-matching engine is one of the most important features in network security applications designed to search for malicious patterns. However, it is difficult to operate a conventional pattern-matching engine on smart objects, because most of them are resource constrained in terms of power, processing and memory space [ 10 – 12 ].…”

GABs: A Game-Based Secure and Energy Efficient Data Aggregation for Wireless Sensor Networks

“…The sensor node considered in this paper are capable to store and execute the program's instructions which were defined before their deployment in the sensing Figure 3: Detailed exchange between a pair of nodes. area and because in our scenario we do not consider the intruders that are discussed in [11], when two nodes are linked, they first have to find their shared secret key prior to exchange of their data based on the symmetric public key cryptography principle as in the fully homomorphic encryption approach proposed by Craig Gentry [15]; we say that when communicating, they are playing a game in which their cooperation is as a pure altruism [9]. The overall exchange is assimilated to a client/server relationship as shown in Figure 3, where to establish a secure direct link, two players exchange first their public key, which upon reception of the other part is used to operate an encryption function based on the encryption scheme on their data to obtain a ciphertex mutually (e.g., the pk received is used to encrypts its message ( ), thus generating a given ciphertext ( )), while the correctness is preserved.…”

“…However there are additional tasks due to security requirements [4] and the high demand on scarce energy resource. In a WSN, data needs a secured solution, preventing malicious attacks as they are transmitted in packet formats on a wireless medium which is subject to security breaches [11] (e.g., eavesdropping and jamming) and needs especially a less computational approach, aiming at saving the scarce energy resource efficiently for the overall system lifetime. When referring to sensors' resources constraints, energy and security are considered as the most crucial issues.…”