Naoki Fukushi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Naoki Fukushi has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Daiki Chiba
Tokyo Metropolitan University
2 shared publications - Hiroki Nakano
NTT Security Holdings Corporation and NTT Inc., Tokyo, Japan
2 shared publications - Takashi Koide
NTT Security Holdings Corporation and NTT Inc., Tokyo, Japan
2 shared publications - Katsunari Yoshioka
Yokohama National University, Yokohama, Japan
1 shared publication - Takeo Hariu
NTT Security (Japan) KK, Japan
1 shared publication - Takeshi Yagi
NTT, Japan
1 shared publication
Latest Publications
- Open Access
- 4 December 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-13
PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names
Domain squatting is a technique used by attackers to create domain names for phishing sites. In recent phishing attempts, we have observed many domain names that use multiple techniques to evade existing methods for domain squatting. These domain names, which we call generated squatting domains (GSDs), are quite different in appearance from legitimate domain names and do not contain brand names, making them difficult to associate with phishing. In this paper, we propose a system called PhishReplicant that detects GSDs by focusing on the linguistic similarity of domain names. We analyzed newly registered and observed domain names extracted from certificate transparency logs, passive DNS, and DNS zone files. We detected 3,498 domain names acquired by attackers in a four-week experiment, of which 2,821 were used for phishing sites within a month of detection. We also confirmed that our proposed system outperformed existing systems in both detection accuracy and number of domain names detected. As an in-depth analysis, we examined 205k GSDs collected over 150 days and found that phishing using GSDs was distributed globally. However, attackers intensively targeted brands in specific regions and industries. By analyzing GSDs in real time, we can block phishing sites before or immediately after they appear.
- 4 December 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-13
Open AccessPhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names
Domain squatting is a technique used by attackers to create domain names for phishing sites. In recent phishing attempts, we have observed many domain names that use multiple techniques to evade existing methods for domain squatting. These domain names, which we call generated squatting domains (GSDs), are quite different in appearance from legitimate domain names and do not contain brand names, making them difficult to associate with phishing. In this paper, we propose a system called PhishReplicant that detects GSDs by focusing on the linguistic similarity of domain names. We analyzed newly registered and observed domain names extracted from certificate transparency logs, passive DNS, and DNS zone files. We detected 3,498 domain names acquired by attackers in a four-week experiment, of which 2,821 were used for phishing sites within a month of detection. We also confirmed that our proposed system outperformed existing systems in both detection accuracy and number of domain names detected. As an in-depth analysis, we examined 205k GSDs collected over 150 days and found that phishing using GSDs was distributed globally. However, attackers intensively targeted brands in specific regions and industries. By analyzing GSDs in real time, we can block phishing sites before or immediately after they appear.
- Open Access
- 29 August 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-12
Canary in Twitter Mine: Collecting Phishing Reports from Experts and Non-experts
- 29 August 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-12
Open AccessCanary in Twitter Mine: Collecting Phishing Reports from Experts and Non-experts