Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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A Deep Learning Approach for Identifying User Interest from Targeted Advertising

  • Kim, Wonkyung (Institute of Cyber Security & Privacy (ICSP), Korea University) ;
  • Lee, Kukheon (Institute of Cyber Security & Privacy (ICSP), Korea University) ;
  • Lee, Sangjin (Institute of Cyber Security & Privacy (ICSP), Korea University) ;
  • Jeong, Doowon (College of Police and Criminal Justice, Dongguk University)
  • Received : 2020.09.15
  • Accepted : 2020.12.17
  • Published : 2022.04.30
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Abstract

In the Internet of Things (IoT) era, the types of devices used by one user are becoming more diverse and the number of devices is also increasing. However, a forensic investigator is restricted to exploit or collect all the user's devices; there are legal issues (e.g., privacy, jurisdiction) and technical issues (e.g., computing resources, the increase in storage capacity). Therefore, in the digital forensics field, it has been a challenge to acquire information that remains on the devices that could not be collected, by analyzing the seized devices. In this study, we focus on the fact that multiple devices share data through account synchronization of the online platform. We propose a novel way of identifying the user's interest through analyzing the remnants of targeted advertising which is provided based on the visited websites or search terms of logged-in users. We introduce a detailed methodology to pick out the targeted advertising from cache data and infer the user's interest using deep learning. In this process, an improved learning model considering the unique characteristics of advertisement is implemented. The experimental result demonstrates that the proposed method can effectively identify the user interest even though only one device is examined.

Keywords

Acknowledgement

This paper is recommended from 2020 International Conference on Big data, IoT, and Cloud Computing. This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2018-0-01000, Development of Digital Forensic Integration Platform).

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