Anomaly Detection through Adaptive DASO Optimization Techniques

Anomaly Detection through Registration

The goal of this research is to perform automatic, fast and accurate registration of volumetric data in 3-D space, as well as anomaly detection based on the registration results and domain knowledge. One important application domain is medical image registration. Anatomical structures vary considerably in appearance across individuals or within one individual over time, and any pathology may ag...

ADAPTIVE ORDERED WEIGHTED AVERAGING FOR ANOMALY DETECTION IN CLUSTER-BASED MOBILE AD HOC NETWORKS

In this paper, an anomaly detection method in cluster-based mobile ad hoc networks with ad hoc on demand distance vector (AODV) routing protocol is proposed. In the method, the required features for describing the normal behavior of AODV are defined via step by step analysis of AODV and independent of any attack. In order to learn the normal behavior of AODV, a fuzzy averaging method is used fo...

Understanding Anomaly Detection Techniques for Symbolic Sequences

Comparison of Unsupervised Anomaly Detection Techniques

Anomaly Detection is the process of finding outlying record from a given data set. This problem has been of increasing importance due to the increase in the size of data and the need to efficiently extract those outlying records which could indicate unauthorized access of the system, credit card theft or the diagnosis of a disease. The aim of this bachelor thesis is to implement a RapidMiner ex...

Comparing Anomaly Detection Techniques for HTTP

Much data access occurs via HTTP, which is becoming a universal transport protocol. Because of this, it has become a common exploit target and several HTTP specific IDSs have been proposed as a response. However, each IDS is developed and tested independently, and direct comparisons are difficult. We describe a framework for testing IDS algorithms, and apply it to several proposed anomaly detec...