Phishing Attacks Detection Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/kse/AnhNN13,
  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,
                 http://dblp.uni-trier.de/db/conf/kse/kse2013-2.html#AnhNN13",
  URL =          "http://dx.doi.org/10.1007/978-3-319-02821-7",
  URL =          "http://dx.doi.org/10.1007/978-3-319-02821-7_18",
  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                 database is out of date, appears to be not effective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

Citations