Phishing is a real threat on the Internet nowadays. Therefore, fighting against phishing attacks is of great importance. In this paper, we propose a solution to this problem by applying Genetic Programming with features selection methods 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. | Phạm Tuấn Anh và Đtg Tạp chí KHOA HỌC & CÔNG NGHỆ 122(08): 21 - 26 PHISHING ATTACKS DETECTION USING GENETIC PROGRAMMING WITH FEATURES SELECTION Tuan Anh Pham1, Thi Huong Chu2, Hoang Quan Nguyen2, Quang Uy Nguyen2, Xuan Hoai Nguyen3, Van Truong Nguyen4 2The 1Centre of IT, Military Academy of Logistics, Vietnam, Faculty of Information Technology, Le Quy Don University, Vietnam, 3IT R&D Center, Hanoi University, Vietnam, 4College of Education, TNU, Vietnam SUMMARY Phishing is a real threat on the Internet nowadays. Therefore, fighting against phishing attacks is of great importance. In this paper, we propose a solution to this problem by applying Genetic Programming with features selection methods 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. Keywords: Genetic Programming, Phishing Attack, Machine Learning INTRODUCTION* Genetic Programming (GP) [2] is an evolutionary algorithm aimed to provide solutions to a user-defined task in the form of computer programs. Since its introduction, GP has been applied to many practical problems [2]. GP has also been used as a learning tool for solving some problems in network security [3]. However, to the best of our knowledge, there has not been any published work on the use of GP for learning to detect phishing web sites except our preliminary work in [4]. In the field of network security, phishing attack is one of the main threat on the Internet nowadays [5]. Phishing attackers attempt to acquire confidential information such as usernames, passwords, and credit card details by disguising as a trustworthy entity in an online communication [5]. Due to the simplicity, phishing attacks are very popular. . According to a .
