Development of a network-based: Intrusion Prevention System using a Data Mining approach

Intrusion Prevention Systems (IPS) can analyse, detect and prevent intruder attacks. IPS provide a good service in securing the network, which goes further than the functionality of Intrusion Detection Systems (IDS), firewalls, antiviruses and any security applications, by actively responding to att...

Full description

Saved in:
Bibliographic Details
Published in2013 Science and Information Conference pp. 641 - 644
Main Authors Al-Hamami, Alaa Hussein, Al-Saadoon, Ghossoon M. Waleed
Format Conference Proceeding
LanguageEnglish
Published The Science and Information Organization 01.10.2013
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Intrusion Prevention Systems (IPS) can analyse, detect and prevent intruder attacks. IPS provide a good service in securing the network, which goes further than the functionality of Intrusion Detection Systems (IDS), firewalls, antiviruses and any security applications, by actively responding to attacks and affording great flexibility when dealing with security threats.
AbstractList Intrusion Prevention Systems (IPS) can analyse, detect and prevent intruder attacks. IPS provide a good service in securing the network, which goes further than the functionality of Intrusion Detection Systems (IDS), firewalls, antiviruses and any security applications, by actively responding to attacks and affording great flexibility when dealing with security threats.
Author Al-Hamami, Alaa Hussein
Al-Saadoon, Ghossoon M. Waleed
Author_xml – sequence: 1
  givenname: Alaa Hussein
  surname: Al-Hamami
  fullname: Al-Hamami, Alaa Hussein
  organization: Comput. Sci. Dept., Amman Arab Univ., Amman, Jordan
– sequence: 2
  givenname: Ghossoon M. Waleed
  surname: Al-Saadoon
  fullname: Al-Saadoon, Ghossoon M. Waleed
  organization: Manage. Inf. Syst. Dept., Appl. Sci. Univ., Manama, Bahrain
BookMark eNrjYmDJy89LZWTgMrC0sDQ2tDQ2iOBkiHBJLUvNyS_ITc0rUchPU0hUyEstKc8vytZNSixOTbFS8MwrKSotzszPUwgoAirNKwExgyuLS1JzFYDieelALS6JJYkKvpl5YF5BQVF-YnIGDwNrWmJOcSovlOZmkHZzDXH20M1MTU2NLyjKzE0sqow3MzMztDAwN8YvCwCSEjrC
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 098931930X
9780989319300
EndPage 644
ExternalDocumentID 6661807
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-ieee_primary_66618073
IEDL.DBID RIE
IngestDate Thu Jun 29 18:37:41 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-ieee_primary_66618073
ParticipantIDs ieee_primary_6661807
PublicationCentury 2000
PublicationDate 2013-Oct.
PublicationDateYYYYMMDD 2013-10-01
PublicationDate_xml – month: 10
  year: 2013
  text: 2013-Oct.
PublicationDecade 2010
PublicationTitle 2013 Science and Information Conference
PublicationTitleAbbrev SAI
PublicationYear 2013
Publisher The Science and Information Organization
Publisher_xml – name: The Science and Information Organization
Score 3.1183584
Snippet Intrusion Prevention Systems (IPS) can analyse, detect and prevent intruder attacks. IPS provide a good service in securing the network, which goes further...
SourceID ieee
SourceType Publisher
StartPage 641
SubjectTerms Algorithm design and analysis
Clustering algorithms
Data mining
Internet Protocol
Intrusion detection
Intrusion Prevention System
IP networks
K-Means
PF-G Algorithm
Ports (Computers)
Title Development of a network-based: Intrusion Prevention System using a Data Mining approach
URI https://ieeexplore.ieee.org/document/6661807
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV09T8MwED2VTkyAWgQUkAdGEohj54MVqApSEANI2SrbuTAgOQzpwq-vzyblQx3YTpZsn255J_u9dwAXktYF1xGWSKbarodTXOWRcWhjtJRGIQmcq6ds8Soea1mP4HKjhUFETz7DmEL_l990ZkVPZVeu1U4Kko7vFNc8aLV-DUXxmDDfg2o4LVBB3uNVr2Pz-cdo8b_X7cP0W33Hnje4cgAjtBOof7B7WNcyxWwgcEeEQ80Ne7Akn3BVZoMrkwuDHzkjcvub23KnesUqPxKCDWbiU5jN719uFxFltvwI5hPLr6TSQxjbzuIRsFRnIjM6T01ZitIkOs3bRCgusRCiMe0xTLadcLJ9eQa7nCY-eL7aKYxd7njmcLfX577ga2jJju0
link.rule.ids 310,311,786,790,795,796,802,55109
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV09T8MwED1VZYAJUIuA8uGBkQSS2EnTFahSaCqGImWLbOfCgJR0SBd-PT6nKR_qwGadZPt8y7Ps994B3AiKc185GCOZaps7nPRl5GiDNloJoSWSwDldhMkbf85E1oPbrRYGES35DF0a2r_8otZreiq7M1dtb0zS8T2D8_dxq9b61RbFosL0ENJuvZYM8uGuG-Xqzz9Wi__d8AiG3_o79rpFlmPoYTWA7Ae_h9Ulk6xqKdwOIVExYbOKBBSmzqzzZTLD1pGcEb393Ux5lI1kqW0KwTo78SGMpk_Lh8ShzPJVaz-Rb5IKTqBf1RWeAgtUyEOtokDHMY-1p4Ko9Lj0BY45L3R5BoNdK5zvDl_DfrJM5_l8tngZwYFP_R8se-0C-uYceGlQuFFXtvhfHBqSQw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2013+Science+and+Information+Conference&rft.atitle=Development+of+a+network-based%3A+Intrusion+Prevention+System+using+a+Data+Mining+approach&rft.au=Al-Hamami%2C+Alaa+Hussein&rft.au=Al-Saadoon%2C+Ghossoon+M.+Waleed&rft.date=2013-10-01&rft.pub=The+Science+and+Information+Organization&rft.spage=641&rft.epage=644&rft.externalDocID=6661807