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Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning.

T. Shibahara, T. Yagi, M. Akiyama, D. Chiba, and K. Hato. IEICE Trans. Inf. Syst., 102-D (4): 725-736 (2019)

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Kiyoshi Chiba

Karim Chibane

Idir Chibane

Godfrey Chibanguza

Kuuya Chibanguza

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Precise and Robust Detection of Advertising Fraud.F. Kanei, D. Chiba, K. Hato, and M. Akiyama. COMPSAC (1), page 776-785. IEEE, (2019)Efficient Dynamic Malware Analysis Based on Network Behavior Using Deep Learning.T. Shibahara, T. Yagi, M. Akiyama, D. Chiba, and T. Yada. GLOBECOM, page 1-7. IEEE, (2016)BotProfiler: Profiling Variability of Substrings in HTTP Requests to Detect Malware-Infected Hosts.D. Chiba, T. Yagi, M. Akiyama, K. Aoki, T. Hariu, and S. Goto. TrustCom/BigDataSE/ISPA (1), page 758-765. IEEE, (2015)To Get Lost is to Learn the Way: An Analysis of Multi-Step Social Engineering Attacks on the Web.T. Koide, D. Chiba, M. Akiyama, K. Yoshioka, and T. Matsumoto. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 104-A (1): 162-181 (2021)A Comprehensive Measurement of Cloud Service Abuse.N. Fukushi, D. Chiba, M. Akiyama, and M. Uchida. J. Inf. Process., (2021)Event De-Noising Convolutional Neural Network for Detecting Malicious URL Sequences from Proxy Logs.T. Shibahara, K. Yamanishi, Y. Takata, D. Chiba, T. Hokaguchi, M. Akiyama, T. Yagi, Y. Ohsita, and M. Murata. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 101-A (12): 2149-2161 (2018)Classification of diversified web crawler accesses inspired by biological adaptation.N. Kuze, S. Ishikura, T. Yagi, D. Chiba, and M. Murata. Int. J. Bio Inspired Comput., 17 (3): 165-173 (2021)Detecting Phishing Sites Using ChatGPT.T. Koide, N. Fukushi, H. Nakano, and D. Chiba. CoRR, (2023)DomainScouter: Analyzing the Risks of Deceptive Internationalized Domain Names.D. Chiba, A. Hasegawa, T. Koide, Y. Sawabe, S. Goto, and M. Akiyama. IEICE Trans. Inf. Syst., 103-D (7): 1493-1511 (2020)PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names.T. Koide, N. Fukushi, H. Nakano, and D. Chiba. ACSAC, page 1-13. ACM, (2023)

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Disambiguation of "Chiba, Daiki"

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Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning.

Please choose a person to relate this publication to

Kiyoshi Chiba

Karim Chibane

Idir Chibane

Godfrey Chibanguza

Kuuya Chibanguza

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chiba, Daiki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning.

Please choose a person to relate this publication to

Kiyoshi Chiba

Karim Chibane

Idir Chibane

Godfrey Chibanguza

Kuuya Chibanguza

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning.