Junji Nakazato - Concepedia

Author

Junji Nakazato

National Institute of Information and Communications Technology

Also Known As

J. Nakazato, Junji NAKAZATO, Junji Nakazato

Publications

251

Citations

H-Index

Concepts

All Affiliations

National Institute of Information and Communications Technology Kobe University National Center for University Entrance Examinations

About

Junji Nakazato is an author at National Institute of Information and Communications Technology specializing in information security, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	163
2	Computer Science	6	6	163
3	Data Science	6	6	163
4	Business	1	1	23
5	Systems Engineering	1	1	41

Junji Nakazato

Publications

200

Citations

H-Index

Page 1

	Year	Citations
nicter: An Incident Analysis System Toward Binding Network Monitoring with Malware Analysis Daisuke Inoue, Masashi Eto, Katsunari Yoshioka, EngineeringInformation SecurityNetwork AnalysisInformation ForensicsSoftware Analysis	2008	41
A study of IoT malware activities using association rule learning for darknet sensor data Seiichi Ozawa, Tao Ban, Naoki Hashimoto, International Journal of Information Security Iot Data AnalyticsEngineeringMachine LearningData ScienceData Mining	2019	40
Detection of DDoS Backscatter Based on Traffic Features of Darknet TCP Packets Nobuaki Furutani, Tao Ban, Junji Nakazato, Hardware SecurityInternet Traffic AnalysisSuppurt Vector MachineEngineeringData Science	2014	24
nicter: a large-scale network incident analysis system Masashi Eto, Daisuke Inoue, Jungsuk Song, EngineeringInformation SecurityNetwork AnalysisInformation ForensicsPropagating Malwares	2011	23
A neural network model for detecting DDoS attacks using darknet traffic features Siti Hajar Aminah Ali, Seiichi Ozawa, Tao Ban, Darknet Traffic FeaturesEngineeringInternet Traffic AnalysisDistributed DenialInformation Security	2016	22
A Darknet Traffic Analysis for IoT Malwares Using Association Rule Learning Naoki Hashimoto, Seiichi Ozawa, Tao Ban, Procedia Computer Science	2018	20
A Novel Malware Clustering Method Using Frequency of Function Call Traces in Parallel Threads Junji Nakazato, Jungsuk Song, Masashi Eto, IEICE Transactions on Information and Systems	2011	17
Large-Scale Monitoring for Cyber Attacks by Using Cluster Information on Darknet Traffic Features Hironori Nishikaze, Seiichi Ozawa, Jun Kitazono, Procedia Computer Science Cluster ComputingDarknet Traffic FeaturesEngineeringMachine LearningInformation Security	2015	13

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