Search Results - subject:"Anomaly Detection"

Cluster analysis for anomaly detection in accounting

Thiprungsri, Sutapat - In: Audit analytics in the financial industry, (pp. 87-110). 2019

Persistent link: https://www.econbiz.de/10012161616

Multi-dimensional approaches to anomaly detection : a study of insurance claims

Moharram, Basma - In: Audit analytics in the financial industry, (pp. 111-144). 2019

Persistent link: https://www.econbiz.de/10012161619

Development of an anomaly detection model for a bank's transitory account system

Kim, Yongbum - In: Audit analytics in the financial industry, (pp. 147-164). 2019

Persistent link: https://www.econbiz.de/10012161625

Development of an anomaly detection model for an insurance company's wire transfer system

Kim, Yongbum - In: Audit analytics in the financial industry, (pp. 165-200). 2019

Persistent link: https://www.econbiz.de/10012161628

Automated clustering for data analytics

Byrnes, Paul E. - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 43-58

Persistent link: https://www.econbiz.de/10012416672

Condition Parameter Modeling for Anomaly Detection in Wind Turbines

Yan, Yonglong; Li, Jian; Gao, David Wenzhong - In: Energies 7 (2014) 5, pp. 3104-3120

operational and condition information about wind turbines (WTs), is of important significance for anomaly detection in wind … turbines. The paper presents a novel model for wind turbine anomaly detection mainly based on SCADA data and a back … automatic BPNN-based parameter selection is for reduction of redundant parameters for anomaly detection in wind turbines …

Persistent link: https://www.econbiz.de/10010765423

Misuse of ‘Break-the-Glass' Policies in Hospitals: Detecting Unauthorized Access to Sensitive Patient Health Data

Gewald, Heiko; Stark, Benjamin; Lautenbacher, Heinrich; … - In: International Journal of Information Security and … 12 (2018) 3, pp. 100-122

This article describes how the information about an individual's personal health is among ones most sensitive and important intangible belongings. When health information is misused, serious non-revertible damage can be caused, e.g. through making intimidating details public or leaking it to...

Persistent link: https://www.econbiz.de/10012045721

Recognizing Driving Behavior and Road Anomaly using Smartphone Sensors

Ali, Aya Hamdy; Atia, Ayman; Mostafa, Mostafa-Sami M. - In: International Journal of Ambient Computing and … 8 (2017) 3, pp. 22-37

Road traffic accidents are caused 1.25 million deaths per year worldwide. To improve road safety and reducing road accidents, a recognition method for driving events is introduced in this paper. The proposed method detected and classified both driving behaviors and road anomalies patterns based...

Persistent link: https://www.econbiz.de/10012042657

An Insider Threat Detection Method Based on Business Process Mining

Zhu, Taiming; Guo, Yuanbo; Ju, Ankang; Ma, Jun; Wang, Xuan - In: International Journal of Business Data Communications … 13 (2017) 2, pp. 83-98

Current intrusion detection systems are mostly for detecting external attacks, but the “Prism Door” and other similar events indicate that internal staff may bring greater harm to organizations in information security. Traditional insider threat detection methods only consider the audit...

Persistent link: https://www.econbiz.de/10012043281

IDS Using Reinforcement Learning Automata for Preserving Security in Cloud Environment

Phadikar, Santanu; Ghosh, Partha; Bardhan, Meghna; … - In: International Journal of Information System Modeling … 8 (2017) 4, pp. 21-37

Cloud computing relies on sharing computing resources. With high availability and accessibility of resources, cloud computing is under the threat of major cyber-attacks. To detect attacks and preserve security in cloud environment, having an efficient intrusion detection system (IDS) is...

Persistent link: https://www.econbiz.de/10012045654