Visualization with Prediction Scheme for Early DDoS Detection in Ethereum †
Younghoon Park, Yejin Kim, Muhammad Khalil Afzal, Byung-Seo Kim, Rehmat Ullah · 2023
Read Visualization with Prediction Scheme for Early DDoS Detection in Ethereum † by Younghoon Park, Yejin Kim, Muhammad Khalil Afzal, Byung-Seo Kim, Rehmat Ullah (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10746988.txt.
Description
Younghoon Park and four colleagues published a network security study in two thousand twenty-three on spotting attacks on the Ethereum blockchain. Flood attacks can halt the system by swamping it with traffic. Existing visual dashboards show only past and present states, so warnings come late.
The authors built a display that also forecasts where key measures are heading. Curve fitting on past blockchain data drives the forecasts. A second check uses a fit-quality statistic to confirm attack signs. In their tests the scheme predicted coming states with small error and flagged attacks early. The authors say such foresight lets managers act before the chain stalls.
Catalog record
| CREATOR | Younghoon Park, Yejin Kim, Muhammad Khalil Afzal, Byung-Seo Kim, Rehmat Ullah |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |