Daiki Chiba

发表

Detecting and Understanding Online Advertising Fraud in the Wild

Mitsuaki Akiyama, Tsutomu Matsumoto, Fumihiro Kanei, 2020, IEICE Trans. Inf. Syst..

Event De-Noising Convolutional Neural Network for Detecting Malicious URL Sequences from Proxy Logs

Masayuki Murata, Yuta Takata, Mitsuaki Akiyama, 2018, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network

Mitsuaki Akiyama, Masayuki Murata, Daiki Chiba, 2019, AISec@CCS.

Exploration into Gray Area: Efficient Labeling for Malicious Domain Name Detection

Mitsuaki Akiyama, Naoki Fukushi, Daiki Chiba, 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).

Detecting Android Malware by Analyzing Manifest Files

Shigeki Goto, Daiki Chiba, R. Sato, 2013 .

BotProfiler: Profiling Variability of Substrings in HTTP Requests to Detect Malware-Infected Hosts

Mitsuaki Akiyama, Takeshi Yagi, Takeo Hariu, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Don't throw me away: Threats Caused by the Abandoned Internet Resources Used by Android Apps

Mitsuaki Akiyama, Tatsuya Mori, Daiki Chiba, 2018, AsiaCCS.

DomainChroma: Building actionable threat intelligence from malicious domain names

Mitsuaki Akiyama, Takeshi Yagi, Shigeki Goto, 2018, Comput. Secur..

Detecting Dynamic IP Addresses Using the Sequential Characteristics of PTR Records

Mitsuaki Akiyama, Shigeki Goto, Daiki Chiba, 2018 .

Detecting Malicious Websites by Learning IP Address Features

Shigeki Goto, Tatsuya Mori, Daiki Chiba, 2012, 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet.

Malicious URL sequence detection using event de-noising convolutional neural network

Masayuki Murata, Yuta Takata, Mitsuaki Akiyama, 2017, 2017 IEEE International Conference on Communications (ICC).

Detection Method of Homograph Internationalized Domain Names with OCR

Mitsuaki Akiyama, Shigeki Goto, Daiki Chiba, 2019, J. Inf. Process..

DomainProfiler: Discovering Domain Names Abused in Future

Mitsuaki Akiyama, Takeshi Yagi, Shigeki Goto, 2016, 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Analyzing Spatial Structure of IP Addresses for Detecting Malicious Websites

Shigeki Goto, Tatsuya Mori, Daiki Chiba, 2013, J. Inf. Process..

Detecting Malware-infected Hosts Using Templates of Multiple HTTP Requests

Masayuki Murata, Mitsuaki Akiyama, Yuichi Ohsita, 2020, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC).

DomainScouter: Analyzing the Risks of Deceptive Internationalized Domain Names

Mitsuaki Akiyama, Shigeki Goto, Daiki Chiba, 2020, IEICE Trans. Inf. Syst..

To Get Lost is to Learn the Way: Automatically Collecting Multi-step Social Engineering Attacks on the Web

Mitsuaki Akiyama, Daiki Chiba, Takashi Koide, 2020, AsiaCCS.

Efficient Dynamic Malware Analysis Based on Network Behavior Using Deep Learning

Mitsuaki Akiyama, Takeshi Yagi, Daiki Chiba, 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

DomainProfiler: toward accurate and early discovery of domain names abused in future

Mitsuaki Akiyama, Takeshi Yagi, Shigeki Goto, 2017, International Journal of Information Security.

It Never Rains but It Pours: Analyzing and Detecting Fake Removal Information Advertisement Sites

Mitsuaki Akiyama, Tsutomu Matsumoto, Katsunari Yoshioka, 2020, DIMVA.

ShamFinder: An Automated Framework for Detecting IDN Homographs

Shigeki Goto, Hiroaki Suzuki, Tatsuya Mori, 2019, Internet Measurement Conference.

DomainScouter: Understanding the Risks of Deceptive IDNs

Mitsuaki Akiyama, Shigeki Goto, Daiki Chiba, 2019, RAID.

To Get Lost is to Learn the Way: An Analysis of Multi-Step Social Engineering Attacks on the Web

Mitsuaki Akiyama, Tsutomu Matsumoto, Katsunari Yoshioka, 2021, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

DomainChroma: Providing Optimal Countermeasures against Malicious Domain Names

Mitsuaki Akiyama, Takeshi Yagi, Shigeki Goto, 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).

Detecting Dynamic IP Addresses and Cloud Blocks Using the Sequential Characteristics of PTR Records

Mitsuaki Akiyama, Shigeki Goto, Daiki Chiba, 2019, J. Inf. Process..

Crawler classification using ant-based clustering scheme

Masayuki Murata, Takeshi Yagi, Daiki Chiba, 2015, 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST).

A Large-scale Analysis of Cloud Service Abuse

Mitsuaki Akiyama, Naoki Fukushi, Daiki Chiba, 2020, 2020 IEEE Conference on Communications and Network Security (CNS).

BotProfiler: Detecting Malware-Infected Hosts by Profiling Variability of Malicious Infrastructure

Mitsuaki Akiyama, Takeshi Yagi, Takeo Hariu, 2016, IEICE Trans. Commun..

Exploration into Gray Area: Toward Efficient Labeling for Detecting Malicious Domain Names

Mitsuaki Akiyama, Naoki Fukushi, Daiki Chiba, 2020, IEICE Trans. Commun..

Detection of vulnerability scanning using features of collective accesses based on information collected from multiple honeypots

Masayuki Murata, Takeshi Yagi, Daiki Chiba, 2016, NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium.

Precise and Robust Detection of Advertising Fraud

Mitsuaki Akiyama, Fumihiro Kanei, Daiki Chiba, 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).

Classification of diversified web crawler accesses inspired by biological adaptation

Masayuki Murata, Takeshi Yagi, Daiki Chiba, 2021, Int. J. Bio Inspired Comput..

Detecting Event-synced Navigation Attacks across User-generated Content Platforms

Mitsuaki Akiyama, Daiki Chiba, Takashi Koide, 2021, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).

Analyzing Security Risks of Ad-Based URL Shortening Services Caused by Users' Behaviors

Mitsuaki Akiyama, Daiki Chiba, Takashi Koide, 2021, Security and Privacy in Communication Networks.

A First Look at COVID-19 Domain Names: Origin and Implications

Mitsuaki Akiyama, Takuya Watanabe, Tatsuya Mori, 2021, PAM.

Understanding Update of Machine-Learning-Based Malware Detection by Clustering Changes in Feature Attributions

Masayuki Murata, Mitsuaki Akiyama, Yuichi Ohsita, 2021, International Workshop on Security.

Auto-creation of Android Malware Family Tree

Mitsuaki Akiyama, Daiki Chiba, Masato Uchida, 2021, ICC 2021 - IEEE International Conference on Communications.

Time-series Measurement of Parked Domain Names and Their Malicious Uses

Mitsuaki Akiyama, Daiki Chiba, Masato Uchida, 2021 .

Auto-creation of Robust Android Malware Family Trees

Mitsuaki Akiyama, Daiki Chiba, Kazuya Nomura, 2021, J. Inf. Process..

A Comprehensive Measurement of Cloud Service Abuse

Mitsuaki Akiyama, Daiki Chiba, Masato Uchida, 2021, J. Inf. Process..

Understanding the Fake Removal Information Advertisement Sites

Mitsuaki Akiyama, Katsunari Yoshioka, Daiki Chiba, 2021, J. Inf. Process..

Magnetostrictive clad steel plates for high-performance vibration energy harvesting

Fumio Narita, Daiki Chiba, Zhenjun Yang, 2018 .