Abstract
The IP-based Ubiquitous Sensor Network (IP-USN) is an effort to build the “Internet of things”. By utilizing IP for low power networks, we can benefit from existing well established tools and technologies of IP networks. Along with many other unresolved issues, securing IP-USN is of great concern for researchers so that future market satisfaction and demands can be met. Without proper security measures, both reactive and proactive, it is hard to envisage an IP-USN realm. In this paper we present a design of an IDS (Intrusion Detection System) called RIDES (Robust Intrusion DEtection System) for IP-USN. RIDES is a hybrid intrusion detection system, which incorporates both Signature and Anomaly based intrusion detection components. For signature based intrusion detection this paper only discusses the implementation of distributed pattern matching algorithm with the help of signature-code, a dynamically created attack-signature identifier. Other aspects, such as creation of rules are not discussed. On the other hand, for anomaly based detection we propose a scoring classifier based on the SPC (Statistical Process Control) technique called CUSUM charts. We also investigate the settings and their effects on the performance of related parameters for both of the components.
Highlights
The term “Ubiquitous Sensor Networks” (USN) is used to describe networks of smart sensor nodes capable of communicating wirelessly, and possessing limited computing power and storage capacity.USN can be used in a wide range of civilian and military fields, including environment and habitat monitoring, real-time healthcare, landmine detection, intelligent transport systems and so on [1].many of the current USN implementations use a proprietary suite of protocols which are tailored for the environment under observation
In this paper we propose a design of an IDS for IP-based Ubiquitous Sensor Network (IP-USN) environment called RIDES
It is unwise to equip sensor nodes with the resource hungry detection schemes because signature-based intrusion detection system demands sufficient storage to store the signatures, and high processing power to match the incoming packets with stored signatures
Summary
The term “Ubiquitous Sensor Networks” (USN) is used to describe networks of smart sensor nodes capable of communicating wirelessly, and possessing limited computing power and storage capacity. We preferred hybrid architecture due to the fact that there is a class of attacks which requires only a small number of packets to subvert the victim, such as Ping of Death [8], Land [8] and so on In such cases, anomaly-based IDS fails drastically with high false negatives or Type-II errors. It is unwise to equip sensor nodes with the resource hungry detection schemes because signature-based intrusion detection system demands sufficient storage to store the signatures, and high processing power to match the incoming packets with stored signatures To overcome this problem, we propose a novel coding scheme so that signature based IDS can be implemented on resource constrained sensor nodes.
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