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  • 标题:Collaborative Attack Detection Using KID System
  • 本地全文:下载
  • 作者:Vishakha V. Kharche ; Prof. Virendra P. Nikam ; Prof. Yogesh B. Jadhao
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:4
  • 页码:5893
  • DOI:10.15680/IJIRSET.2017.0604205
  • 出版社:S&S Publications
  • 摘要:In recent era the use of internet become more. Most of people used internet to transfer their data and usedcloud to save that data. There is chance that the data may get scythe and misused by some unauthorized user. So toprevent from such unauthorized users various Anomaly intrusion detection schemes are introduced recently. To fightagainst such attacks Keyed Intrusion Detection System is used. Since most current network attacks happen at theapplication layer, analysis of packet payload is necessary for their detection. KIDS core idea is to make defense againstevasion attacks. Proposed system provides security from such attacks and also protects stored data. Proposed systemused to save data of various domains in cloud. By adding mystery component in to plan so that a couple of operationsare becomes impractical without knowing the key. For each implementation of the methodKey is different and is setaside secret. KIDS observe all activity and inform to authorize node about unusual activity.
  • 关键词:Anomaly detection; intrusion detection systems; Adversarial classification; machine-learning.
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