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Filters: Author is Park, Jun-Sang  [Clear All Filters]
2020-09-04
Baek, Ui-Jun, Ji, Se-Hyun, Park, Jee Tae, Lee, Min-Seob, Park, Jun-Sang, Kim, Myung-Sup.  2019.  DDoS Attack Detection on Bitcoin Ecosystem using Deep-Learning. 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). :1—4.
Since Bitcoin, the first cryptocurrency that applied blockchain technology was developed by Satoshi Nakamoto, the cryptocurrency market has grown rapidly. Along with this growth, many vulnerabilities and attacks are threatening the Bitcoin ecosystem, which is not only at the bitcoin network-level but also at the service level that applied it, according to the survey. We intend to analyze and detect DDoS attacks on the premise that bitcoin's network-level data and service-level DDoS attacks with bitcoin are associated. We evaluate the results of the experiment according to the proposed metrics, resulting in an association between network-level data and service-level DDoS attacks of bitcoin. In conclusion, we suggest the possibility that the proposed method could be applied to other blockchain systems.