Artificial intelligence for designing user profiling system for cloud computing security: Experiment

Author

Sahil ; Sood, Sandeep ; Mehmi, Sandeep ; Dogra, Shikha

Author_Institution

Punjab Inst. of Technol., Kapurthala, India

fYear

2015

fDate

19-20 March 2015

Firstpage

51

Lastpage

58

Abstract

In Cloud Computing security, the existing mechanisms: Anti-virus programs, Authentications, Firewalls are not able to withstand the dynamic nature of threats. So, User Profiling System, which registers user´s activities to analyze user´s behavior, augments the security system to work in proactive and reactive manner and provides an enhanced security. This paper focuses on designing a User Profiling System for Cloud environment using Artificial Intelligence techniques and studies behavior (of User Profiling System) and proposes a new hybrid approach, which will deliver a comprehensive User Profiling System for Cloud Computing security.

Keywords

artificial intelligence; authorisation; cloud computing; firewalls; antivirus programs; artificial intelligence techniques; authentications; cloud computing security; cloud environment; firewalls; proactive manner; reactive manner; user activities; user behavior; user profiling system; Artificial intelligence; Cloud computing; Computational modeling; Fuzzy logic; Fuzzy systems; Genetic algorithms; Security; Artificial Intelligence; Artificial Neural Networks; Cloud Computing; Datacenters; Expert Systems; Genetics; Machine Learning; Multi-tenancy; Networking Systems; Pay-as-you-go Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICACEA.2015.7164645

Filename

7164645