A Framework for Data Security in Cloud using Collaborative Intrusion Detection Scheme

Upasana Nagar, Xiangjian He, Priyadarsi Nanda, Zhiyuan Tan

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Cloud computing offers an on demand, elastic, global network access to a shared pool of resources that can be configured on user demand. The advantages of cloud computing are lucrative for well-established organizations looking to reduce infrastructure cost overheads. However, the users are not quite confident in entrusting their data to the cloud due to security threats and risks perceived in the cloud domain. Issues involving privacy requirements for the cloud and best practices in the cloud are suggested in this paper. Although the cloud provider ensures security in the cloud yet the flow of data, storage location, data computing process and security breaches are not transparent to the cloud customer. This distrust and lack of control on data is a major hindrance for potential cloud customers in adopting the cloud models for their businesses. Intrusion Detection Systems (IDSs) are widely used to detect malicious activities. However existing solutions with IDSs involving DDoS and other non-detectable events may not be suitable in applying to the cloud due to distributed data storage and a major shift in Internet access mechanisms offered by cloud providers. Hence there is a strong need to analyze an appropriate IDS to counter DDoS attacks in the cloud. In this paper we propose a novel framework for data security in the cloud using Collaborative Intrusion Detection (CIDS) scheme. The benefits of CIDS scheme in cloud are enabling the end user to get comprehensive information in the event of a distributed attack on cloud.

Original languageEnglish
Title of host publicationSecurity of Information and Networks - 10th International Conference, SIN 2017
EditorsVijaypal Singh Dhaka, Atilla Elci, Manoj Singh Gaur, Manoj Kumar Bohra, Rajveer Singh Shekhawat
PublisherAssociation for Computing Machinery
Pages188-193
Number of pages6
ISBN (Electronic)9781450353038
DOIs
Publication statusPublished - 13 Oct 2017
Externally publishedYes
Event10th International Conference on Security of Information and Networks, SIN 2017 - Jaipur, India
Duration: 13 Oct 201715 Oct 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Security of Information and Networks, SIN 2017
Country/TerritoryIndia
CityJaipur
Period13/10/1715/10/17

Keywords

  • Alert Correlation
  • Cloud Security
  • Collaborative Intrusion Detection

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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