Statistical Learning for Anomaly Detection in Cloud Server Systems: A Multi-Order Markov Chain Framework
نویسندگان
چکیده
منابع مشابه
Moving dispersion method for statistical anomaly detection in intrusion detection systems
A unified method for statistical anomaly detection in intrusion detection systems is theoretically introduced. It is based on estimating a dispersion measure of numerical or symbolic data on successive moving windows in time and finding the times when a relative change of the dispersion measure is significant. Appropriate dispersion measures, relative differences, moving windows, as well as tec...
متن کاملAssessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing
Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...
متن کاملAutomatic Anomaly Detection in the Cloud Via Statistical Learning
Performance and high availability have become increasingly important drivers, amongst other drivers, for user retention in the context of web services such as social networks, and web search. Exogenic and/or endogenic factors often give rise to anomalies, making it very challenging to maintain high availability, while also delivering high performance. Given that service-oriented architectures (...
متن کاملA Markov Chain Model of Temporal Behavior for Anomaly Detection
This paper presents an anomaly detection technique to detect intrusions into computer and network systems. In this technique, a Markov chain model is used to represent a temporal profile of normal behavior in a computer and network system. The Markov chain model of the norm profile is learned from historic data of the system’s normal behavior. The observed behavior of the system is analyzed to ...
متن کاملAn Efficient Anomaly Detection Framework for Cloud Computing Environment
Infrastructure as a Service (IaaS) is an important service type provided by cloud computing. Infrastructure resources are encapsulated into services and they are provided to users over the Internet in the form of virtual machines. A malicious user can upload malicious software into the virtual machine allocated by a cloud computing service provider and launch the side channel attacks to other v...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Cloud Computing
سال: 2018
ISSN: 2168-7161
DOI: 10.1109/tcc.2015.2415813