DocumentCode :
1678425
Title :
Cloud computing digital forensics framework for automated anomalies detection
Author :
Patrascu, Alecsandru ; Velciu, Marius-Alexandru ; Patriciu, Victor Valeriu
Author_Institution :
Comput. Sci. Dept., Mil. Tech. Acad., Bucharest, Romania
fYear :
2015
Firstpage :
505
Lastpage :
510
Abstract :
Cloud Computing is one of the most important paradigms used in today´s digital environment because they offer to the user benefits such as virtual machine renting, digital information backup, ease of access to stored data and many other. Together with the increased usage of these technologies, at the datacenter level we need to know in detail the information flux between the computing nodes. More exactly, on which server the data is processed, how it is manipulated and stored at the physical or virtual level. To have a full picture of what it is going on we need to have a centralized system that can collect data regarding about the datacenters status and correlate them with known anomalies and other usage patterns and in case of a security breach to act accordingly. In this paper we present a new way to monitor running virtual machines existing at a datacenter level. We will talk about the architecture, and how we use the information collected to train our automated anomalies machine learning modules. We also present some implementation details and results taken from the experimental setup.
Keywords :
cloud computing; computer centres; digital forensics; learning (artificial intelligence); automated anomalies detection; automated anomalies machine learning modules; centralized system; cloud computing digital forensics framework; computing nodes; datacenter level; datacenters status; digital environment; information flux; security breach; virtual machines; Cloud computing; Computer architecture; Containers; Forensics; Servers; Virtual machining; Virtualization; anomaly detection framework; cloud computing; data forensics; distributed computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2015.7208257
Filename :
7208257
Link To Document :
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