• Home
  • Login
  • Register

HOME / ENGINEERING AND TECHNOLOGY / INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND INFORMATION SECURITY (IJCNIS) / Volume 7 / ISSUE NO 3

Applying Correlation and Regression Analysis Methods for Security Incidents Detection in the Internet of Things

Daria Lavrova, Alexander Pechenkin

Volume 7, Issue No 3, 2015, INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND INFORMATION SECURITY (IJCNIS)

Abstract

In this paper, authors propose a complex of correlation-based methods for security incidents detection and investigation in large-scale networks of heterogeneous devices such as Internet of Things. Proposed methods aim to detect both known and unknown attacks in the Internet of Things.

Keyword(s)

Internet of Things,  event correlation,  security incident,  regression analysis,  correlation analysis,  rule-based correlation

Web Source | Download PDF

Related Articles

  • Spectral Efficiency Evaluation for Selection Combining Diversity Schemes under Worst Case of Fading Scenario

  • Improved IDMA for Multiple Access of 5G

  • A Driving Path Based Opportunistic Routing in Vehicular Ad Hoc Network

  • Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks

  • Routing for capacity improvement in Multi-Channel-Width Multi-Radio Wireless Mesh Networks

About PRDB.pk

Pakistan Research Database helps individuals, professionals and institutions to access all research published in Pakistan at one platform.

  • Blog
  • CareerGuidance
  • eAdmissions
  • About Us
  • Work for PRDB
  • Contact Us
  • Privacy Policy
  • Copyright Policy
  • End User Terms