Understanding the mirai botnet
- Journal
- USENIX Security Symposium
In The Last Decade
doi.org/w7141306 →Countries where authors are citing Understanding the mirai botnet
This map shows the geographic impact of Understanding the mirai botnet. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Understanding the mirai botnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Understanding the mirai botnet more than expected).
Fields of papers citing Understanding the mirai botnet
This network shows the impact of Understanding the mirai botnet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Understanding the mirai botnet.
About Understanding the mirai botnet
This paper, published in 2017, received 744 indexed citations . Written by Manos Antonakakis, Michael Bailey, Matthew Bernhard, Elie Bursztein, Zakir Durumeric, J. Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar and Zane Ma covering the research area of Signal Processing, Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (608 citations), Signal Processing (450 citations) and Artificial Intelligence (421 citations). Published in USENIX Security Symposium.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w7141306.