| Efficient dynamic malware analysis based on network behavior using deep learning T Shibahara, T Yagi, M Akiyama, D Chiba, T Yada 2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016 | 114 | 2016 |
| Design and implementation of high interaction client honeypot for drive-by-download attacks M Akiyama, M Iwamura, Y Kawakoya, K Aoki, M Itoh IEICE transactions on communications 93 (5), 1131-1139, 2010 | 98 | 2010 |
| A proposal of metrics for botnet detection based on its cooperative behavior M Akiyama, T Kawamoto, M Shimamura, T Yokoyama, Y Kadobayashi, ... 2007 International Symposium on Applications and the Internet Workshops, 82-82, 2007 | 90 | 2007 |
| Graph signal processing for directed graphs based on the hermitian laplacian S Furutani, T Shibahara, M Akiyama, K Hato, M Aida Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 78 | 2020 |
| Analyzing the ecosystem of malicious URL redirection through longitudinal observation from honeypots M Akiyama, T Yagi, T Yada, T Mori, Y Kadobayashi Computers & Security 69, 155-173, 2017 | 66 | 2017 |
| Understanding the inconsistencies between text descriptions and the use of privacy-sensitive resources of mobile apps T Watanabe, M Akiyama, T Sakai, T Mori Eleventh Symposium On Usable Privacy and Security (SOUPS 2015), 241-255, 2015 | 62 | 2015 |
| DomainProfiler: Discovering domain names abused in future D Chiba, T Yagi, M Akiyama, T Shibahara, T Yada, T Mori, S Goto 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems …, 2016 | 61 | 2016 |
| Searching structural neighborhood of malicious urls to improve blacklisting M Akiyama, T Yagi, M Itoh 2011 IEEE/IPSJ International Symposium on Applications and the Internet, 1-10, 2011 | 60 | 2011 |
| Understanding the origins of mobile app vulnerabilities: A large-scale measurement study of free and paid apps T Watanabe, M Akiyama, F Kanei, E Shioji, Y Takata, B Sun, Y Ishi, ... 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 59 | 2017 |
| Malicious URL sequence detection using event de-noising convolutional neural network T Shibahara, K Yamanishi, Y Takata, D Chiba, M Akiyama, T Yagi, ... 2017 IEEE International Conference on Communications (ICC), 1-7, 2017 | 55 | 2017 |
| マルウェア対策のための研究用データセット~ MWS Datasets 2015~ 神薗雅紀， 秋山満昭， 笠間貴弘， 村上純一， 畑田充弘， 寺田真敏 研究報告セキュリティ心理学とトラスト (SPT) 2015 (6), 1-8, 2015 | 50 | 2015 |
| Automating URL blacklist generation with similarity search approach B Sun, M Akiyama, T Yagi, M Hatada, T Mori IEICE TRANSACTIONS on Information and Systems 99 (4), 873-882, 2016 | 43 | 2016 |
| Analysis of malware download sites by focusing on time series variation of malware Y Tanaka, M Akiyama, A Goto Journal of computational science 22, 301-313, 2017 | 39 | 2017 |
| Empowering anti-malware research in Japan by sharing the MWS datasets M Hatada, M Akiyama, T Matsuki, T Kasama Journal of Information Processing 23 (5), 579-588, 2015 | 39 | 2015 |
| マルウェア対策のための研究用データセット~ MWS 2011 Datasets~ 畑田充弘， 中津留勇， 秋山満昭 コンピュータセキュリティシンポジウム 2011 論文集 2011 (3), 1-5, 2011 | 39 | 2011 |
| DomainChroma: Building actionable threat intelligence from malicious domain names D Chiba, M Akiyama, T Yagi, K Hato, T Mori, S Goto Computers & Security 77, 138-161, 2018 | 38 | 2018 |
| HoneyCirculator: distributing credential honeytoken for introspection of web-based attack cycle M Akiyama, T Yagi, T Hariu, Y Kadobayashi International Journal of Information Security 17, 135-151, 2018 | 38 | 2018 |
| マルウェア対策のための研究用データセット~ MWS Datasets 2014~ 秋山満昭， 神薗雅紀， 松木隆宏， 畑田光弘 研究報告セキュリティ心理学とトラスト (SPT) 2014 (19), 1-7, 2014 | 34 | 2014 |
| {DomainScouter}: Understanding the Risks of Deceptive {IDNs} D Chiba, AA Hasegawa, T Koide, Y Sawabe, S Goto, M Akiyama 22nd International Symposium on Research in Attacks, Intrusions and Defenses …, 2019 | 30 | 2019 |
| Unauthorized access detecting system and unauthorized access detecting method M Akiyama, T Yagi US Patent 10,142,343, 2018 | 27* | 2018 |
Daiki ChibaNTTยืนยันอีเมลแล้วที่ ieee.org
