Phishing Attacks Detection Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Tuan Anh Pham and Quang Uy Nguyen and 
                 Xuan Hoai Nguyen",
  title =        "Phishing Attacks Detection Using Genetic Programming",
  booktitle =    "Proceedings of the Fifth International Conference on
                 Knowledge and Systems Engineering, KSE 2013, Volume 2",
  year =         "2013",
  editor =       "Van-Nam Huynh and Thierry Denoeux and 
                 Dang Hung Tran and Anh-Cuong Le and Son Bao Pham",
  volume =       "245",
  series =       "Advances in Intelligent Systems and Computing",
  pages =        "185--195",
  address =      "Hanoi, Vietnam",
  month =        "17-19 " # oct,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-02820-0",
  bibdate =      "2014-01-03",
  bibsource =    "DBLP,
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/978-3-319-02821-7_18",
  abstract =     "Phishing is a real threat on the Internet nowadays.
                 According to a report released by an American security
                 firm, RSA, there have been approximately 33,000
                 phishing attacks globally each month in 2012, leading
                 to a loss of $687 million. Therefore, fighting against
                 phishing attacks is of great importance. One popular
                 and widely-deployed solution with browsers is to
                 integrate a blacklist sites into them. However, this
                 solution, which is unable to detect new attacks if the
                 database is out of date, appears to be not effective
                 when there are a lager number of phishing attacks
                 created very day. In this paper, we propose a solution
                 to this problem by applying Genetic Programming to
                 phishing detection problem. We conducted the
                 experiments on a data set including both phishing and
                 legitimate sites collected from the Internet. We
                 compared the performance of Genetic Programming with a
                 number of other machine learning techniques and the
                 results showed that Genetic Programming produced the
                 best solutions to phishing detection problem.",

Genetic Programming entries for Pham Tuan Anh Quang Uy Nguyen Nguyen Xuan Hoai