Practical Detection of Click Spams Using Efficient Classification-Based Algorithms

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FALLAH MAHDIEH; ZARIFZADEH SAJJAD

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Paper Information

Journal: International Journal of Information and Communication Technology Research Year:2018 | Volume:10 | Issue:2 Page(s): 63-71

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Title

Practical Detection of Click Spams Using Efficient Classification-Based Algorithms

Author(s)

FALLAH MAHDIEH | ZARIFZADEH SAJJAD | Issue Writer Certificate

Keywords

bot

click spam

user session modeling

classification

Abstract

Most of today’ s Internet services utilize user feedback (e. g. clicks) to improve the quality of their services. For example, search engines use click information as a key factor in document ranking. As a result, some websites cheat to get a higher rank by fraudulently absorbing clicks to their pages. This phenomenon, known as “ click spam” , is initiated by programs called “ Click bot” . The problem of distinguishing bot-generated traffic from the user traffic is critical for the viability of Internet services, like search engines. In this paper, we propose a novel classification-based system to effectively identify fraudulent clicks in a practical manner. We first model user sessions with three different levels of features, i. e. session-based, user-based and IP-based features. Then, we classify sessions with two different methods: a one-class and a two-class classification that both work based on the well-known K-Nearest Neighbor algorithm. Finally, we analyze our methods with the real log of a Persian search engine. Experimental results show that the proposed algorithms can detect fraudulent clicks with a precision of up to 96% which outperform the previous works by more than 5%.

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APA: Copy

FALLAH, MAHDIEH, & ZARIFZADEH, SAJJAD. (2018). Practical Detection of Click Spams Using Efficient Classification-Based Algorithms. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, 10(2), 63-71. SID. https://sid.ir/paper/315161/en

Vancouver: Copy

FALLAH MAHDIEH, ZARIFZADEH SAJJAD. Practical Detection of Click Spams Using Efficient Classification-Based Algorithms. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH[Internet]. 2018;10(2):63-71. Available from: https://sid.ir/paper/315161/en

IEEE: Copy

MAHDIEH FALLAH, and SAJJAD ZARIFZADEH, “Practical Detection of Click Spams Using Efficient Classification-Based Algorithms,” INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, vol. 10, no. 2, pp. 63–71, 2018, [Online]. Available: https://sid.ir/paper/315161/en

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