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|Title||A Decentralized and Autonomous Anomaly Detection Infrastructure for Decentralized Peer-to-Peer Networks|
|Year of Publication||2014|
|Academic Department||Technische Universität München|
|Number of Pages||63|
|Keywords||anomaly, censorship, detection, GNUnet|
In decentralized networks, collecting and analysing information from the network is useful for developers and operators to monitor the behaviour and detect anomalies such as attacks or failures in both the overlay and underlay networks. But realizing such an infrastructure is hard to achieve due to the decentralized nature of the network especially if the anomaly occurs on systems not operated by developers or participants get separated from the collection points. In this thesis a decentralized monitoring infrastructure using a decentralized peer-to-peer network is developed to collect information and detect anomalies in a collaborative way without coordination by and in absence of a centralized infrastructure and report detected incidents to a monitoring infrastructure.
We start by introducing background information about peer-to-peer networks, anomalies and anomaly detection techniques in literature. Then we present some of the related work regarding monitoring decentralized networks, anomaly detection and data aggregation in decentralized networks. Then we perform an analysis of the system objectives, target environment and the desired properties of the system. Then we design the system in terms of the overall structure and its individual components. We follow with details about the system implementation. Lastly, we evaluate the final system implementation against our desired objectives.