The authors of [9] describe and evaluate methods for anomaly detection and distributed intrusion detection in mobile adhoc networks, focusing on two routing protocols.
The results of this paper proposed a method that is scalable and, importantly, its performance is comparable to conventional methods for anomaly detection when the complete data are available.
On the basis of the theory of Tilt angle and Tilt-depth, we derive new Tilt-depth method for gravity anomaly from the forward formula of the upright dyke model, namely Tilt-depth2.
A simple analysis method for orbit anomaly detection, called semi-major axis change method (SACM) was presented by using a relationship between the change of orbit parameters and velocity increments.
The innovation of this paper is a corridor trace analysis, a method for identifying anomalies of hazard intensity, exposure, and vulnerability along many thousands of kilometers of a transportation network by integrating key road characteristic and performance metrics to straight-line diagrams of corridor sections.
Application of methods for geochemical anomaly recognition based on classical statistics can, thus, be misguided and potentially result in spurious anomalies.
The research on new methods for sketching, anomaly detection, noise removal, feature extraction, outliers detection, and pre-filtering of streaming data is required to reduce big data effectively.
To verify the effectiveness of the proposed method, the real-world energy data coming from a steel plant are employed to perform the experiments, and the results indicate that the proposed method exhibits a higher precision compared to the other methods for the anomaly detection.
This paper proposes a novel method for fully automatic anomaly detection on objects inspected using an imaging system.
