Detecting Malicious Websites by Learning IP Address Features. - Daiki Chiba 001; Kazuhiro Tobe; Tatsuya Mori; Shigeki Goto (SAINT, 2012)

Analyzing Spatial Structure of IP Addresses for Detecting Malicious Websites. - Daiki Chiba 001; Kazuhiro Tobe; Tatsuya Mori; Shigeki Goto (J. Inf. Process., 2013)

Crawler classification using ant-based clustering scheme. - Naomi Kuze; Shu Ishikura; Takeshi Yagi; Daiki Chiba 001; Masayuki Murata 001 (ICITST, 2015)

BotProfiler: Profiling Variability of Substrings in HTTP Requests to Detect Malware-Infected Hosts. - Daiki Chiba 001; Takeshi Yagi; Mitsuaki Akiyama; Kazufumi Aoki; Takeo Hariu; Shigeki Goto (TrustCom/BigDataSE/ISPA (1), 2015)

DomainProfiler: Discovering Domain Names Abused in Future. - Daiki Chiba 001; Takeshi Yagi; Mitsuaki Akiyama; Toshiki Shibahara; Takeshi Yada; Tatsuya Mori; Shigeki Goto (DSN, 2016)

Efficient Dynamic Malware Analysis Based on Network Behavior Using Deep Learning. - Toshiki Shibahara; Takeshi Yagi; Mitsuaki Akiyama; Daiki Chiba 001; Takeshi Yada (GLOBECOM, 2016)

Detection of vulnerability scanning using features of collective accesses based on information collected from multiple honeypots. - Naomi Kuze; Shu Ishikura; Takeshi Yagi; Daiki Chiba 001; Masayuki Murata 001 (NOMS, 2016)

BotProfiler: Detecting Malware-Infected Hosts by Profiling Variability of Malicious Infrastructure. - Daiki Chiba 001; Takeshi Yagi; Mitsuaki Akiyama; Kazufumi Aoki; Takeo Hariu; Shigeki Goto (IEICE Trans. Commun., 2016)

DomainChroma: Providing Optimal Countermeasures against Malicious Domain Names. - Daiki Chiba 001; Mitsuaki Akiyama; Takeshi Yagi; Takeshi Yada; Tatsuya Mori; Shigeki Goto (COMPSAC (1), 2017)

Malicious URL sequence detection using event de-noising convolutional neural network. - Toshiki Shibahara; Kohei Yamanishi; Yuta Takata; Daiki Chiba 001; Mitsuaki Akiyama; Takeshi Yagi; Yuichi Ohsita; Masayuki Murata 001 (ICC, 2017)

Don't throw me away: Threats Caused by the Abandoned Internet Resources Used by Android Apps. - Elkana Pariwono; Daiki Chiba 001; Mitsuaki Akiyama; Tatsuya Mori (AsiaCCS, 2018)

DomainChroma: Building actionable threat intelligence from malicious domain names. - Daiki Chiba 001; Mitsuaki Akiyama; Takeshi Yagi; Kunio Hato; Tatsuya Mori; Shigeki Goto (Comput. Secur., 2018)

Event De-Noising Convolutional Neural Network for Detecting Malicious URL Sequences from Proxy Logs. - Toshiki Shibahara; Kohei Yamanishi; Yuta Takata; Daiki Chiba 001; Taiga Hokaguchi; Mitsuaki Akiyama; Takeshi Yagi; Yuichi Ohsita; Masayuki Murata 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

DomainProfiler: toward accurate and early discovery of domain names abused in future. - Daiki Chiba 001; Takeshi Yagi; Mitsuaki Akiyama; Toshiki Shibahara; Tatsuya Mori; Shigeki Goto (Int. J. Inf. Sec., 2018)

Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network. - Toshiki Shibahara; Hirokazu Kodera; Daiki Chiba 001; Mitsuaki Akiyama; Kunio Hato; Ola Söderström; Daniel Dalek; Masayuki Murata 001 (AISec@CCS, 2019)

Exploration into Gray Area: Efficient Labeling for Malicious Domain Name Detection. - Naoki Fukushi; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (COMPSAC (1), 2019)

Precise and Robust Detection of Advertising Fraud. - Fumihiro Kanei; Daiki Chiba 001; Kunio Hato; Mitsuaki Akiyama (COMPSAC (1), 2019)

ShamFinder: An Automated Framework for Detecting IDN Homographs. - Hiroaki Suzuki; Daiki Chiba 001; Yoshiro Yoneya; Tatsuya Mori; Shigeki Goto (Internet Measurement Conference, 2019)

DomainScouter: Understanding the Risks of Deceptive IDNs. - Daiki Chiba 001; Ayako Akiyama Hasegawa; Takashi Koide; Yuta Sawabe; Shigeki Goto; Mitsuaki Akiyama (RAID, 2019)

Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning. - Toshiki Shibahara; Takeshi Yagi; Mitsuaki Akiyama; Daiki Chiba 001; Kunio Hato (IEICE Trans. Inf. Syst., 2019)

Detecting Dynamic IP Addresses and Cloud Blocks Using the Sequential Characteristics of PTR Records. - Tomofumi Nakamori; Daiki Chiba 001; Mitsuaki Akiyama; Shigeki Goto (J. Inf. Process., 2019)

Detection Method of Homograph Internationalized Domain Names with OCR. - Yuta Sawabe; Daiki Chiba 001; Mitsuaki Akiyama; Shigeki Goto (J. Inf. Process., 2019)

Detecting Malware-infected Hosts Using Templates of Multiple HTTP Requests. - Taiga Hokaguchi; Yuichi Ohsita; Toshiki Shibahara; Daiki Chiba 001; Mitsuaki Akiyama; Masayuki Murata 001 (CCNC, 2020)

To Get Lost is to Learn the Way: Automatically Collecting Multi-step Social Engineering Attacks on the Web. - Takashi Koide; Daiki Chiba 001; Mitsuaki Akiyama (AsiaCCS, 2020)

A Large-scale Analysis of Cloud Service Abuse. - Naoki Fukushi; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (CNS, 2020)

It Never Rains but It Pours: Analyzing and Detecting Fake Removal Information Advertisement Sites. - Takashi Koide; Daiki Chiba 001; Mitsuaki Akiyama; Katsunari Yoshioka; Tsutomu Matsumoto (DIMVA, 2020)

Time-series Measurement of Parked Domain Names. - Takayuki Tomatsuri; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (GLOBECOM, 2020)

Exploration into Gray Area: Toward Efficient Labeling for Detecting Malicious Domain Names. - Naoki Fukushi; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (IEICE Trans. Commun., 2020)

DomainScouter: Analyzing the Risks of Deceptive Internationalized Domain Names. - Daiki Chiba 001; Ayako Akiyama Hasegawa; Takashi Koide; Yuta Sawabe; Shigeki Goto; Mitsuaki Akiyama (IEICE Trans. Inf. Syst., 2020)

Detecting and Understanding Online Advertising Fraud in the Wild. - Fumihiro Kanei; Daiki Chiba 001; Kunio Hato; Katsunari Yoshioka; Tsutomu Matsumoto; Mitsuaki Akiyama (IEICE Trans. Inf. Syst., 2020)

Detecting Event-synced Navigation Attacks across User-generated Content Platforms. - Hiroki Nakano; Daiki Chiba 001; Takashi Koide; Mitsuaki Akiyama (COMPSAC, 2021)

Measuring Adoption of DNS Security Mechanisms with Cross-Sectional Approach. - Masanori Yajima; Daiki Chiba 001; Yoshiro Yoneya; Tatsuya Mori (GLOBECOM, 2021)

Auto-creation of Android Malware Family Tree. - Kazuya Nomura; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (ICC, 2021)

Understanding Update of Machine-Learning-Based Malware Detection by Clustering Changes in Feature Attributions. - Yun Fan; Toshiki Shibahara; Yuichi Ohsita; Daiki Chiba 001; Mitsuaki Akiyama; Masayuki Murata 001 (IWSEC, 2021)

A First Look at COVID-19 Domain Names: Origin and Implications. - Ryo Kawaoka; Daiki Chiba 001; Takuya Watanabe 001; Mitsuaki Akiyama; Tatsuya Mori (PAM, 2021)

Analyzing Security Risks of Ad-Based URL Shortening Services Caused by Users' Behaviors. - Naoki Fukushi; Takashi Koide; Daiki Chiba 001; Hiroki Nakano; Mitsuaki Akiyama (SecureComm (2), 2021)

To Get Lost is to Learn the Way: An Analysis of Multi-Step Social Engineering Attacks on the Web. - Takashi Koide; Daiki Chiba 001; Mitsuaki Akiyama; Katsunari Yoshioka; Tsutomu Matsumoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Classification of diversified web crawler accesses inspired by biological adaptation. - Naomi Kuze; Shu Ishikura; Takeshi Yagi; Daiki Chiba 001; Masayuki Murata 001 (Int. J. Bio Inspired Comput., 2021)

A Comprehensive Measurement of Cloud Service Abuse. - Naoki Fukushi; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (J. Inf. Process., 2021)

Understanding the Fake Removal Information Advertisement Sites. - Takashi Koide; Daiki Chiba 001; Mitsuaki Akiyama; Katsunari Yoshioka; Tsutomu Matsumoto (J. Inf. Process., 2021)

Auto-creation of Robust Android Malware Family Trees. - Kazuya Nomura; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (J. Inf. Process., 2021)

Time-Series Measurement of Parked Domain Names and Their Malicious Uses. - Takayuki Tomatsuri; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (IEICE Trans. Commun., 2021)

Objection!: Identifying Misclassified Malicious Activities with XAI. - Koji Fujita; Toshiki Shibahara; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (ICC, 2022)

DomainPrio: Prioritizing Domain Name Investigations to Improve SOC Efficiency. - Daiki Chiba 001; Mitsuaki Akiyama; Yuto Otsuki; Hiroki Hada; Takeshi Yagi; Tobias Fiebig; Michel van Eeten (IEEE Access, 2022)

Understanding Security Risks of Ad-based URL Shortening Services Caused by Users' Behaviors. - Naoki Fukushi; Takashi Koide; Daiki Chiba 001; Hiroki Nakano; Mitsuaki Akiyama (J. Inf. Process., 2022)

Exploring Event-synced Navigation Attacks across User-generated Content Platforms in the Wild. - Hiroki Nakano; Daiki Chiba 001; Takashi Koide; Mitsuaki Akiyama; Katsunari Yoshioka; Tsutomu Matsumoto (J. Inf. Process., 2022)

Canary in Twitter Mine: Collecting Phishing Reports from Experts and Non-experts. - Hiroki Nakano; Daiki Chiba 001; Takashi Koide; Naoki Fukushi; Takeshi Yagi; Takeo Hariu; Katsunari Yoshioka; Tsutomu Matsumoto (ARES, 2023)

PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names. - Takashi Koide; Naoki Fukushi; Hiroki Nakano; Daiki Chiba 001 (ACSAC, 2023)

A First Look at Brand Indicators for Message Identification (BIMI). - Masanori Yajima; Daiki Chiba 001; Yoshiro Yoneya; Tatsuya Mori (PAM, 2023)

Detecting Phishing Sites Using ChatGPT. - Takashi Koide; Naoki Fukushi; Hiroki Nakano; Daiki Chiba 001 (CoRR, 2023)

Noisy Label Detection for Multi-labeled Malware. - Naoki Fukushi; Toshiki Shibahara; Hiroki Nakano; Takashi Koide; Daiki Chiba 001 (CCNC, 2024)

Evaluation of Adversarial Examples Based on Original Definition. - Ko Fujimori; Toshiki Shibahara; Daiki Chiba 001; Mitsuaki Akiyama; Masato Uchida (HCI (62), 2024)

Longitudinal Measurement Study of the Domain Names Associated With the Olympic Games. - Ryo Kawaoka; Daiki Chiba 001; Takuya Watanabe 001; Mitsuaki Akiyama; Tatsuya Mori (IEEE Access, 2024)

ChatPhishDetector: Detecting Phishing Sites Using Large Language Models. - Takashi Koide; Hiroki Nakano; Daiki Chiba 001 (IEEE Access, 2024)

ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection. - Takashi Koide; Naoki Fukushi; Hiroki Nakano; Daiki Chiba 001 (CoRR, 2024)

Understanding Characteristics of Phishing Reports from Experts and Non-Experts on Twitter. - Hiroki Nakano; Daiki Chiba 001; Takashi Koide; Naoki Fukushi; Takeshi Yagi; Takeo Hariu; Katsunari Yoshioka; Tsutomu Matsumoto (IEICE Trans. Inf. Syst., 2024)

DomainLynx: Leveraging Large Language Models for Enhanced Domain Squatting Detection. - Daiki Chiba 001; Hiroki Nakano; Takashi Koide (CCNC, 2025)

DomainDynamics: Lifecycle-Aware Risk Timeline Construction for Domain Names. - Daiki Chiba 001; Hiroki Nakano; Takashi Koide (CCNC, 2025)

DomainHarvester: Harvesting Infrequently Visited Yet Trustworthy Domain Names. - Daiki Chiba 001; Hiroki Nakano; Takashi Koide (CCNC, 2025)

ScamFerret: Detecting Scam Websites Autonomously with Large Language Models. - Hiroki Nakano; Takashi Koide; Daiki Chiba 001 (DIMVA (1), 2025)

DomainHarvester: Uncovering Trustworthy Domains Beyond Popularity Rankings. - Daiki Chiba 001; Hiroki Nakano; Takashi Koide (IEEE Access, 2025)

DomainLynx: Advancing LLM Techniques for Robust Domain Squatting Detection. - Daiki Chiba 001; Hiroki Nakano; Takashi Koide (IEEE Access, 2025)

DomainDynamics: Advancing lifecycle-based risk assessment of domain names. - Daiki Chiba 001; Hiroki Nakano; Takashi Koide (Comput. Secur., 2025)

PhishParrot: LLM-Driven Adaptive Crawling to Unveil Cloaked Phishing Sites. - Hiroki Nakano; Takashi Koide; Daiki Chiba 001 (CoRR, 2025)