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An immunity-based time series prediction approach and its application for network security situation

Content Provider	Springer Nature Link
Author	Shi, Yuanquan Li, Renfa Zhang, Yu Peng, Xiaoning
Copyright Year	2014
Abstract	To effectively improve the prediction precision of network security situation and prevent the large-scale network security attacks, an immunity-based time series prediction approach for network security situation (ITSPA) is proposed. In ITSPA, the concepts and formal definitions of antigen, antibody and affinity used for predicting network security situation are given; and meanwhile, the mathematical models of antibody evolution operators used for establishing the prediction model of network security situation are shown. For the time series of network security situation, its chaotic characteristics are analyzed and the corresponding sample space is reconstructed by phase space reconstruction method; then, the corresponding prediction model is constructed by artificial immune mechanism; finally, this prediction model is used for predicting the time series of network security situation. To demonstrate the predicting effectiveness of ITSPA, four typical time series (namely real-time network probe situation, real-time network situation, short-term network probe situation and short-term network situation) obtained from DARPA 1999 data set and long-term network security situation time series obtained from HoneyNet Project data set are used for simulating experiments. The experimental results show that ITSPA is an effective prediction approach for the time series of network security situation.
Starting Page	1
Ending Page	22
Page Count	22
File Format	PDF
ISSN	18612776
Journal	Intelligent Service Robotics
Volume Number	8
Issue Number	1
e-ISSN	18612784
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-10-11
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Network security situation Time series Phase space reconstruction Artificial immune system Prediction model Control, Robotics, Mechatronics Artificial Intelligence (incl. Robotics) User Interfaces and Human Computer Interaction Vibration, Dynamical Systems, Control Robotics and Automation
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Mechanical Engineering Computational Mechanics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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