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  • 标题:Heuristic Based Approach for Fraud Detection using Machine Learning
  • 本地全文:下载
  • 作者:Nida Khan ; Manliv Kaur ; Riddhi Panchal
  • 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:2018
  • 卷号:6
  • 期号:2
  • 页码:908
  • DOI:10.15680/IJIRCCE.2018.0602038
  • 出版社:S&S Publications
  • 摘要:Internet has become a useful part of our regular day to day life as we do almost all of our social andfinancial activities online. Today, everyone is heavily reliable on internet and online activities such as online shopping,online Banking, online booking, online recharge and many more. Phishing is a type of social engineering attack thattargets a user sensitive information through a phony website that appears similar to a legitimate site, or by sending aphishing email .Heuristic based approach is to produce a solution in a reasonable time that is good enough for solvingthe problem .Heuristic approach defines that it may produce results by themselves, or they may be used in conjunctionwith optimization algorithms to improve their efficiency (e.g., they may be used to generate good seed values). Withthe limitation in the existing system we are introducing additional features through the heuristic approach which issimpler and effective than the earlier approaches. This is mainly used for real-world applications and one of this is usedin fraud detection on an online platform. Internet environment and diversification of available web services, webattacks have increased in quantity and advanced in quality. Heuristics approach through machine learning underlie thewhole field of Artificial Intelligence and the computer simulation of thinking, as they may be used in situations wherethere are no known algorithm. The heuristic-based detection technique analyses and extracts phishing site features anddetects phishing sites using that information. It is imperative to detect and act on such threats in a timely manner.However, blacklists cannot be exhaustive, and lack the ability to detect newly generated malicious URLs. To improvethe generality of malicious URL detectors, machine learning techniques have been explored with increasing attention inrecent years.
  • 关键词:heuristic approach; phishing sites; blacklist detection
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