earticle

논문검색

User Behaviour Profiling in Cloud using One Class SVM : A Review

초록

영어

Distributed computing guarantees to on a very basic level change the way we utilize PCs and get to and store our own specific and business data. With these new registering and correspondences models develop new data security challenges. Existing information security structures, for instance, encryption have fizzled in imagining information theft strikes, particularly those executed by an insider to the cloud supplier. We propose a substitute methodology for securing information in the cloud utilizing adversarial mimic improvement. We screen data access in the cloud and perceive unpredictable data access outlines. Right when unapproved access is suspected and after that confirmed using test questions, we dispatch a disinformation strike by giving back a considerable measure of fake information to the attacker. This secures against the misuse of the customer's real data. Trials coordinated in a neighbor-hood archive setting give confirmation this technique may give unprecedented levels of customer data security in a Cloud space.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Evidence for the Problem
  2.2. User Behavior Profiling
  2.3. Decoy Technology
  2.4. Imitation Placement is Important
  2.5. Combining the User Behavior Profiling and Decoy Technology
 3. Support Vector Machines
  3.1. One Class SVMs
 4. Detecting Insider Attacks
  4.1. Technical Controls
  4.2. Effectiveness of a Pattern for Preventing Theft by Insiders
 5. Conclusion
 References

저자정보

  • Vijaya Lakshmi Paruchuri Department of Computer Science and Engineering, KL University, Vaddeswaram, AP, 522502, India
  • S. Suresh Babu Department of Information Technology, VFSTR University, Vadlamudi-522213, Guntur, India
  • P S V S Sridhar Department of Computer Science and Engineering, KL University, Vaddeswaram, AP, 522502, India
  • Debnath Bhattacharyya Department of Computer Science and Engineering, Vignan’s Institute of Information Technology Visakhapatnam-530049, India
  • Hye-Jin Kim Sungshin Women's University, 2, Bomun-ro 34da-gil, Seongbuk-gu, Seoul, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.