BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic
- Journal
- Journal of Bioresource Management
In The Last Decade
doi.org/w9025708 →Countries where authors are citing BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic
This map shows the geographic impact of BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic. 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 BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic more than expected).
Fields of papers citing BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic
This network shows the impact of BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic.
About BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic
This paper, published in 2008, received 473 indexed citations . Written by Guofei Gu, Junjie Zhang and Wenke Lee 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 (460 citations), Artificial Intelligence (358 citations), Signal Processing (318 citations), Information Systems (117 citations) and Hardware and Architecture (18 citations). Published in Journal of Bioresource Management.
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/w9025708.