Intrusion Detection Phd Thesis

Intrusion Detection Phd Thesis-75
We also show that the additional energy consumptions and the overhead of the solutions are at an acceptable level to be used in the 6Lo WPAN environment.Though Boulder’s spring and summer bounty is filled with bright flowers, the fall and winter aren’t quite so fresh with flowers.This IDS module can detect the topology-type threats quickly with a low rate of false detection.

We also show that the additional energy consumptions and the overhead of the solutions are at an acceptable level to be used in the 6Lo WPAN environment.Though Boulder’s spring and summer bounty is filled with bright flowers, the fall and winter aren’t quite so fresh with flowers.This IDS module can detect the topology-type threats quickly with a low rate of false detection.

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Cryptographic techniques are helpful in protecting the external attackers from illegally joining the network.

However, because the network devices are commonly not tampered-proof, the attackers can break the cryptography codes of such devices and use them to operate like an internal source.

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The major contributions of this thesis are summarised as below.

First, we categorise the 6Lo WPAN internal threats into two main types, one that focuses on compromising directly the network performance (performance-type) and the other is to manipulate the optimal topology (topology-type), to later downgrade the network service quality indirectly.

Second, we develop a Bayesian-based IDS to detect the performance-type internal threats by monitoring typical attacking targets such as traffic, channel or neighbour nodes.

Unlike other statistical approaches, which have a limited view by just using a single metric to monitor a specific attack, our Bayesian-based IDS can judge an abnormal behaviour with a wiser view by considering of different metrics using the insightful understanding of their relations.

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