@article{oai:miyazaki-u.repo.nii.ac.jp:00006350,
 author = {藤, 竜成 and Fuji, Ryusei and Okazaki, Naonobu and 岡崎, 直宣 and Yamaba, Hisaaki and 山場, 久昭 and Aburada, Kentaro and 油田, 健太郎 and 藤, 竜成 and Fuji, Ryusei},
 journal = {宮崎大学工学部紀要, Memoirs of Faculty of Engineering, University of Miyazaki},
 month = {Sep},
 note = {Since malware has a serious adverse effect not only on computers but also on modern society based on the Internet, the detection is important. To prevent malware infection, we usually install anti-virus software developed by anti-virus vendors on our computers. However, generally, we use only single anti-virus software, which is insufficient as a countermeasure for malware. In this study, we propose a collaborative malware detection system that shares information about malware detection results among several anti-virus vendors and performs malware detection using the shared information. Each anti-virus vendor collects its information on malware independently, so it is expected that each anti-virus vendor has a different field of expertise for malware detection. Therefore, if several anti-virus vendors with different fields of expertise share and use information about malware detection results, we believe that malware detection accuracy can be improved. In this study, we propose information sharing of malware detection results among several anti-virus vendors. The information shared by the proposed system is the malware detection results from each anti-virus vendor and is extremely important information that must not be falsified. Therefore, in this study, we adopted blockchain technology as the infrastructure of the information sharing. In the evaluation experiments, we mainly evaluated the malware detection accuracy of the proposed system through simulations. As a result of the evaluation experiment, we confirmed that the malware detection accuracy of the proposed system was significantly improved compared to the malware detection accuracy of a single malware detection system.},
 pages = {275--294},
 title = {ブロックチェーンベースの協調型マルウェア検知システムの研究},
 volume = {49},
 year = {2020},
 yomi = {フジ, リュウセイ and オカザキ, ナオノブ and ヤマバ, ヒサアキ and アブラダ, ケンタロウ and フジ, リュウセイ}
}