Earticle

초록

영어

Along with the development of IoT(Internet of Things) in industrial control field, more and more security issues are emerged, which cause great damage in the physical world. Under the background of IoT for industrial control, we propose a multi-level detection and warning model, the model can find the attacked node quickly and further effectively forecast data transmission situation of IoT. In addition to detecting the attacks accurately and effectively, the algorithm could give different levels of alarm according to network running situations. And then corresponding measures would be taken to guarantee network availability. An OMNeT++( Objective Modular Network Tested in C++) simulation is performed to validate correctness and practicability of the model at last. And the results verify that this model is feasible to a certain degree.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Requirement Analysis and Model Framework
 4. Bandwidth Consumption Attacks Detection Algorithm Based on RT
  4.1. RTH Statistics
  4.2. NFCM Forming
  4.3. Abnormal Nodes Detection
  4.4. Attacked Nodes Processing
 5. Multi-level Warning for Bandwidth Consumption Attacks
 6. Simulations and Analysis
  6.1. Simulation Description
  6.2. Analysis on Simulation Results
 7. Conclusion and Future Works
 Acknowledgments
 References

키워드

저자

• Jincui Yang [ School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China ] Corresponding author
• Fangjiao Zhang [ Institute of Computing Technology, Chinese Academy of Science Beijing, China ]
• Wenbo Hu [ School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605