TY - JOUR AU - Noori, Neda AU - Boti, Leila AU - Nowzarpoor Shami, Ebrahim PY - 2012 TI - Surveying Different Aspects of Anomaly Detection and Its Applications JO - Journal of Mathematics and Computer Science SP - 129--138 VL - 4 IS - 2 AB - Detecting anomalies is a significant issue which is being investigated in different levels of research and application. Many techniques of anomaly detection are widely and specifically developed for special applied domains while other techniques are mostly general. The purpose of this article is to provide a concise and comprehensive summary of surveys and researches related to anomaly detection. We have categorized the available techniques based on the certified methods; and to distinguish between normal and abnormal behaviors, we have defined some key hypotheses which are used by techniques. When a given technique turns out to be efficient for a specific domain, its hypotheses can provide strategies for accessing technique-efficiency in that domain. For each category, we have provided a basic technique for anomaly detection, and then we have shown how different basic techniques which are available in any category are distinguished from the defined basic technique. This procedure gives us a brief and simple understanding of the techniques which belong to any category. In addition, we will define the pros and cons of the techniques of each category. We hope that this article provides a better understanding of different aspects of the investigated issues, and that how the techniques which are developed in one area can turn out to be efficient in other areas which have not been part of the presuppositions at first. SN - ISSN 2008-949X UR - http://dx.doi.org/10.22436/jmcs.04.02.03 DO - 10.22436/jmcs.04.02.03 ID - Noori2012 ER - TY - BOOK TI - Parallel and distributed computing for cybersecurity AU - V. Kumar PB - Distributed Systems Online PY - 2005 DA - 2005// CY - Vol. 6, 9 pages, ID - Kumar2005 ER - TY - BOOK TI - Detection, synthesis and compression in mammographic image analysis with a hierarchical image probability model. In Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis AU - C. Spence AU - L. Parra AU - P. Sajda PB - IEEE Workshop on Mathematical Methods in Biomedical Image Analysis PY - 2001 DA - 2001// CY - 3--10, ID - Spence2001 ER - TY - JOUR TI - Cardwatch: A neural network based database mining system for credit card fraud detection AU - E. Aleskerov AU - B. Freisleben AU - B. Rao JO - Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr) PY - 1997 DA - 1997// VL - 1997 ID - Aleskerov1997 ER - TY - JOUR TI - An approach to spacecraft anomaly detection problem using kernel feature space. In Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining AU - R. Fujimaki AU - T. Yairi AU - K. Machida JO - Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining PY - 2005 DA - 2005// VL - 2005 ID - Fujimaki2005 ER - TY - JOUR TI - Adaptive real-time anomaly detection using inductively generated sequential patterns AU - H. Teng AU - K. Chen AU - S. Lu JO - Proceedings. 1990 IEEE Computer Society Symposium on Research in Security and Privacy PY - 1990 DA - 1990// VL - 1990 ID - Teng1990 ER - TY - BOOK TI - Robust regression and outlier detection AU - P. J. Rousseeuw AU - A. M. Leroy PB - John Wiley & Sons PY - 1987 DA - 1987// CY - New York ID - Rousseeuw1987 ER - TY - JOUR TI - Conditional anomaly detection AU - X. Song AU - M. Wu AU - C. Jermaine AU - S. Ranka JO - IEEE Transactions on Knowledge and Data Engineering PY - 2007 DA - 2007// VL - 19 ID - Song2007 ER - TY - JOUR TI - Resampling approach for anomaly detection in multispectral images AU - J. Theiler AU - D. M. Cai JO - In: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX PY - 2003 DA - 2003// VL - 2003 ID - Theiler2003 ER - TY - BOOK TI - The Springer Internet Security Dictionary AU - V. V. Phoha PB - Springer-Verlag PY - 2002 DA - 2002// CY - New York ID - Phoha2002 ER - TY - JOUR TI - Bayesian network anomaly pattern detection for disease outbreaks AU - W.-K. Wong AU - A. Moore AU - G. Cooper AU - M. Wagner JO - Proceedings of the 20th International Conference on Machine Learning PY - 2003 DA - 2003// VL - 2003 ID - Wong2003 ER -