Daiki Chiba

Orcid: 0000-0002-7532-6633

Affiliations:
  • NTT, Tokyo, Japan
  • Waseda University, Tokyo, Japan (PhD 2017)


According to our database1, Daiki Chiba authored at least 59 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Understanding Characteristics of Phishing Reports from Experts and Non-Experts on Twitter.
IEICE Trans. Inf. Syst., 2024

DomainHarvester: Harvesting Infrequently Visited Yet Trustworthy Domain Names.
CoRR, 2024

DomainDynamics: Lifecycle-Aware Risk Timeline Construction for Domain Names.
CoRR, 2024

DomainLynx: Leveraging Large Language Models for Enhanced Domain Squatting Detection.
CoRR, 2024

ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection.
CoRR, 2024

ChatPhishDetector: Detecting Phishing Sites Using Large Language Models.
IEEE Access, 2024

Longitudinal Measurement Study of the Domain Names Associated With the Olympic Games.
IEEE Access, 2024

Evaluation of Adversarial Examples Based on Original Definition.
Proceedings of the HCI International 2024 Posters, 2024

Noisy Label Detection for Multi-labeled Malware.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Detecting Phishing Sites Using ChatGPT.
CoRR, 2023

A First Look at Brand Indicators for Message Identification (BIMI).
Proceedings of the Passive and Active Measurement - 24th International Conference, 2023

PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names.
Proceedings of the Annual Computer Security Applications Conference, 2023

Canary in Twitter Mine: Collecting Phishing Reports from Experts and Non-experts.
Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

2022
Exploring Event-synced Navigation Attacks across User-generated Content Platforms in the Wild.
J. Inf. Process., 2022

Understanding Security Risks of Ad-based URL Shortening Services Caused by Users' Behaviors.
J. Inf. Process., 2022

DomainPrio: Prioritizing Domain Name Investigations to Improve SOC Efficiency.
IEEE Access, 2022

Objection!: Identifying Misclassified Malicious Activities with XAI.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Time-Series Measurement of Parked Domain Names and Their Malicious Uses.
IEICE Trans. Commun., July, 2021

Auto-creation of Robust Android Malware Family Trees.
J. Inf. Process., 2021

Understanding the Fake Removal Information Advertisement Sites.
J. Inf. Process., 2021

A Comprehensive Measurement of Cloud Service Abuse.
J. Inf. Process., 2021

Classification of diversified web crawler accesses inspired by biological adaptation.
Int. J. Bio Inspired Comput., 2021

To Get Lost is to Learn the Way: An Analysis of Multi-Step Social Engineering Attacks on the Web.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Analyzing Security Risks of Ad-Based URL Shortening Services Caused by Users' Behaviors.
Proceedings of the Security and Privacy in Communication Networks, 2021

A First Look at COVID-19 Domain Names: Origin and Implications.
Proceedings of the Passive and Active Measurement - 22nd International Conference, 2021

Understanding Update of Machine-Learning-Based Malware Detection by Clustering Changes in Feature Attributions.
Proceedings of the Advances in Information and Computer Security, 2021

Auto-creation of Android Malware Family Tree.
Proceedings of the ICC 2021, 2021

Measuring Adoption of DNS Security Mechanisms with Cross-Sectional Approach.
Proceedings of the IEEE Global Communications Conference, 2021

Detecting Event-synced Navigation Attacks across User-generated Content Platforms.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Detecting and Understanding Online Advertising Fraud in the Wild.
IEICE Trans. Inf. Syst., 2020

DomainScouter: Analyzing the Risks of Deceptive Internationalized Domain Names.
IEICE Trans. Inf. Syst., 2020

Exploration into Gray Area: Toward Efficient Labeling for Detecting Malicious Domain Names.
IEICE Trans. Commun., 2020

Time-series Measurement of Parked Domain Names.
Proceedings of the IEEE Global Communications Conference, 2020

It Never Rains but It Pours: Analyzing and Detecting Fake Removal Information Advertisement Sites.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2020

A Large-scale Analysis of Cloud Service Abuse.
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

To Get Lost is to Learn the Way: Automatically Collecting Multi-step Social Engineering Attacks on the Web.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

Detecting Malware-infected Hosts Using Templates of Multiple HTTP Requests.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

2019
Detection Method of Homograph Internationalized Domain Names with OCR.
J. Inf. Process., 2019

Detecting Dynamic IP Addresses and Cloud Blocks Using the Sequential Characteristics of PTR Records.
J. Inf. Process., 2019

Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning.
IEICE Trans. Inf. Syst., 2019

DomainScouter: Understanding the Risks of Deceptive IDNs.
Proceedings of the 22nd International Symposium on Research in Attacks, 2019

ShamFinder: An Automated Framework for Detecting IDN Homographs.
Proceedings of the Internet Measurement Conference, 2019

Precise and Robust Detection of Advertising Fraud.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Exploration into Gray Area: Efficient Labeling for Malicious Domain Name Detection.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network.
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018
DomainProfiler: toward accurate and early discovery of domain names abused in future.
Int. J. Inf. Sec., 2018

Event De-Noising Convolutional Neural Network for Detecting Malicious URL Sequences from Proxy Logs.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

DomainChroma: Building actionable threat intelligence from malicious domain names.
Comput. Secur., 2018

Don't throw me away: Threats Caused by the Abandoned Internet Resources Used by Android Apps.
Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018

2017
Malicious URL sequence detection using event de-noising convolutional neural network.
Proceedings of the IEEE International Conference on Communications, 2017

DomainChroma: Providing Optimal Countermeasures against Malicious Domain Names.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016
BotProfiler: Detecting Malware-Infected Hosts by Profiling Variability of Malicious Infrastructure.
IEICE Trans. Commun., 2016

Detection of vulnerability scanning using features of collective accesses based on information collected from multiple honeypots.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Efficient Dynamic Malware Analysis Based on Network Behavior Using Deep Learning.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

DomainProfiler: Discovering Domain Names Abused in Future.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015
BotProfiler: Profiling Variability of Substrings in HTTP Requests to Detect Malware-Infected Hosts.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Crawler classification using ant-based clustering scheme.
Proceedings of the 10th International Conference for Internet Technology and Secured Transactions, 2015

2013
Analyzing Spatial Structure of IP Addresses for Detecting Malicious Websites.
J. Inf. Process., 2013

2012
Detecting Malicious Websites by Learning IP Address Features.
Proceedings of the 12th IEEE/IPSJ International Symposium on Applications and the Internet, 2012


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