eprintid: 1261
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/12/61
datestamp: 2023-11-09 15:49:25
lastmod: 2023-11-09 15:49:25
status_changed: 2023-11-09 15:39:20
type: conference_item
metadata_visibility: show
creators_name: Elsadig, M.
creators_name: Abduallah, A.
title: Biological intrusion prevention and self-healing model for network security
ispublished: pub
keywords: Artificial immune; Danger theories; Human immune systems; Intrusion prevention; Intrusion prevention systems; Malicious activities; New approaches; Self-healing; Self-healing systems; System recovery, Damage detection; Intrusion detection; Repair, Network security
note: cited By 5; Conference of 2nd International Conference on Future Networks, ICFN 2010 ; Conference Date: 22 January 2010 Through 24 January 2010; Conference Code:80208
abstract: This paper describes a new approach for network security based on the combination of biological intrusion prevention and self-healing concepts. The presented system integrates an artificial immune intrusion prevention system for network security inspired by immunological theory known as danger theory. The approach is based upon data inspired by the human immune system (HIS). The IPS analyzes the malicious activities and their effect to trigger the self-healing system. That is detection of the damage caused by malicious activities is used to start the self - healing (SH) mechanism. This system is automated and enhances the fault repair and system recovery. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952134074&doi=10.1109%2fICFN.2010.103&partnerID=40&md5=27af378ecd09e62279c0ef67a0a5e00f
id_number: 10.1109/ICFN.2010.103
full_text_status: none
publication: 2nd International Conference on Future Networks, ICFN 2010
place_of_pub: Sanya, Hainan
pagerange: 337-342
refereed: TRUE
isbn: 9780769539409
citation:   Elsadig, M. and Abduallah, A.  (2010) Biological intrusion prevention and self-healing model for network security.  In: UNSPECIFIED.