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Anomaly Detection

Deepak Garg

Abstract


Anomaly Detection is a learning approach to detect failures and intrusions in a network, intended to capture novel attacks. The project aims at performance comparisons of various single pass algorithms of anomaly detection and suggest and apply various heuristics in order to improve their performance. Till now, I have modified the ADWICE algorithm to ADWICE-BOX algorithm and also converted this algorithm from distance based to distance-density based approach. This has resulted in significant improvement in terms of performance.








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