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  • 标题:A Survey on Attacks in Web Usage Mining
  • 本地全文:下载
  • 作者:R.Natarajan ; Dr.R.Sugumar
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:5
  • 出版社:S&S Publications
  • 摘要:As the use of internet is high nowadays, threats are taking places on the use of internet. There are severalkinds of online attacks which affect the system badly and infect the system in such a manner that the server finds itself torecover. In the same proceedings attacks like brute force or IP spoofing has made its place in the crowd of online theft andattacks. Brute force attack is an attack in which the combination of password is thrown to the login system to crack thepassword. It has been seen often that the combination of password cracks the database. To prevent the system for suchattacks optimization algorithms are designed to ensure that the system remains safe. In addition to the brute force attackthere is another attack named IP spoofing attack which leads to send request to the server in a random manner, before theserver deals with one ip another request hits the system and makes the server response slow. Such a system can be oftenseen in the university sites where results day become a hectic task for the server to respond to all the request at the sametime and it leads to slowing down the server. This research deals with three kinds of attacks simultaneously namely bruteforce attack, ip spoofing and sql Injection attack with the prevention mechanisms like ant colony optimization and geneticalgorithm simultaneously. The research would also compare the results of genetic algorithm and ant colony optimizationalgorithm.
  • 关键词:KDD; Securiy; Passive attack
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