Michael Bailey

8.2k total citations · 3 hit papers
94 papers, 4.8k citations indexed

About

Michael Bailey is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Michael Bailey has authored 94 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 44 papers in Artificial Intelligence and 37 papers in Information Systems. Recurrent topics in Michael Bailey's work include Network Security and Intrusion Detection (43 papers), Internet Traffic Analysis and Secure E-voting (37 papers) and Advanced Malware Detection Techniques (33 papers). Michael Bailey is often cited by papers focused on Network Security and Intrusion Detection (43 papers), Internet Traffic Analysis and Secure E-voting (37 papers) and Advanced Malware Detection Techniques (33 papers). Michael Bailey collaborates with scholars based in United States, China and France. Michael Bailey's co-authors include Zakir Durumeric, Farnam Jahanian, J. Alex Halderman, Evan Cooke, David Adrian, Yunjing Xu, Joshua Mason, Manish Karir, Jose Nazario and Zane Ma and has published in prestigious journals such as Journal of the American Chemical Society, Bioinformatics and Environmental Research Letters.

In The Last Decade

Michael Bailey

93 papers receiving 4.6k citations

Hit Papers

Understanding the mirai botnet 2014 2026 2018 2022 2017 2014 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Bailey United States 35 3.2k 2.6k 2.2k 1.9k 378 94 4.8k
Georgios Kambourakis Greece 33 3.5k 1.1× 2.3k 0.9× 2.0k 0.9× 1.5k 0.8× 724 1.9× 144 4.8k
Zakir Durumeric United States 25 2.1k 0.7× 2.0k 0.8× 1.4k 0.7× 1.2k 0.7× 332 0.9× 57 3.5k
J. Alex Halderman United States 30 2.6k 0.8× 3.1k 1.2× 2.0k 0.9× 1.8k 1.0× 457 1.2× 72 5.0k
Vijay Varadharajan Australia 35 3.5k 1.1× 3.2k 1.2× 1.5k 0.7× 2.1k 1.1× 465 1.2× 330 5.8k
Angelos D. Keromytis United States 40 4.1k 1.3× 4.1k 1.6× 2.8k 1.3× 2.0k 1.1× 701 1.9× 219 6.5k
Guofei Gu United States 39 6.6k 2.0× 4.1k 1.6× 3.7k 1.7× 2.4k 1.3× 504 1.3× 120 8.1k
Davide Balzarotti France 37 2.2k 0.7× 2.3k 0.9× 2.8k 1.3× 2.4k 1.3× 167 0.4× 113 4.5k
Aziz Mohaisen United States 34 2.2k 0.7× 1.6k 0.6× 1.5k 0.7× 1.8k 1.0× 305 0.8× 230 3.9k
Ehab Al‐Shaer United States 34 3.5k 1.1× 1.7k 0.7× 861 0.4× 1.1k 0.6× 390 1.0× 206 4.3k
Hongxin Hu United States 35 1.9k 0.6× 2.3k 0.9× 671 0.3× 1.9k 1.0× 355 0.9× 164 4.2k

Countries citing papers authored by Michael Bailey

Since Specialization
Citations

This map shows the geographic impact of Michael Bailey's research. 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 Michael Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bailey more than expected).

Fields of papers citing papers by Michael Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Bailey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Bailey. The network helps show where Michael Bailey may publish in the future.

Co-authorship network of co-authors of Michael Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bailey. A scholar is included among the top collaborators of Michael Bailey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Bailey. Michael Bailey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Greenstadt, Rachel & Michael Bailey. (2021). Message from the USENIX security'21 program co-chairs. USENIX Security Symposium. 1 indexed citations
2.
Reynolds, J.K., et al.. (2020). Empirical Measurement of Systemic 2FA Usability. USENIX Security Symposium. 127–143. 11 indexed citations
3.
Cohen, Stuart, Ana Dyreson, Jordan Macknick, et al.. (2020). Climate-Water Impacts on Interconnection-Scale Electricity System Planning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
4.
Ma, Zane, et al.. (2019). The impact of secure transport protocols on phishing efficacy. USENIX Security Symposium. 2 indexed citations
5.
Kumar, Deepak, et al.. (2018). Skill squatting attacks on Amazon Alexa. USENIX Security Symposium. 33–47. 48 indexed citations
6.
Zhou, Yi, Deepak Kumar, Surya Bakshi, et al.. (2018). Erays: Reverse Engineering Ethereum's Opaque Smart Contracts. IDEALS (University of Illinois Urbana-Champaign). 1371–1385. 39 indexed citations
7.
Antonakakis, Manos, Michael Bailey, Matthew Bernhard, et al.. (2017). Understanding the mirai botnet. USENIX Security Symposium. 1093–1110. 744 indexed citations breakdown →
8.
Daciér, Marc, Michael Bailey, Michalis Polychronakis, & Manos Antonakakis. (2017). Research in attacks, intrusions, and defenses : 20th international symposium, RAID 2017, Atlanta, GA, USA, September 18-20, 2017, proceedings. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
9.
Tidwell, Vincent, et al.. (2016). Water supply as a constraint on transmission expansion planning in the Western interconnection. Environmental Research Letters. 11(12). 124001–124001. 25 indexed citations
10.
Li, Frank, Zakir Durumeric, Jakub Czyz, et al.. (2016). You’ve got vulnerability: Exploring effective vulnerability notifications. USENIX Security Symposium. 1033–1050. 53 indexed citations
11.
Durumeric, Zakir, Michael Bailey, & J. Alex Halderman. (2014). An internet-wide view of internet-wide scanning. USENIX Security Symposium. 65–78. 86 indexed citations
12.
Xu, Yunjing, et al.. (2013). Bobtail: avoiding long tails in the cloud. Networked Systems Design and Implementation. 329–342. 129 indexed citations
13.
White, Andrew M., Srinivas Krishnan, Michael Bailey, Fabian Monrose, & Phillip Porras. (2013). Clear and Present Data: Opaque Traffic and its Security Implications for the Future.. Network and Distributed System Security Symposium. 17 indexed citations
14.
Bailey, Michael, et al.. (2010). Improving Spam Blacklisting Through Dynamic Thresholding and Speculative Aggregation.. Network and Distributed System Security Symposium. 21 indexed citations
15.
Bailey, Michael, et al.. (2008). Operating System Power Dependencies.. Int. CMG Conference. 15–20. 1 indexed citations
16.
Bailey, Michael, et al.. (2007). Shedding Light on the Configuration of Dark Addresses.. Network and Distributed System Security Symposium. 5 indexed citations
17.
Cooke, Evan, Michael Bailey, Farnam Jahanian, & Richard Mortier. (2006). The dark oracle: perspective-aware unused and unreachable address discovery. Networked Systems Design and Implementation. 8–8. 24 indexed citations
18.
Bailey, Michael, Evan Cooke, Farnam Jahanian, & Jose Nazario. (2005). The Internet Motion Sensor - A Distributed Blackhole Monitoring System.. Network and Distributed System Security Symposium. 156 indexed citations
19.
Bailey, Michael, et al.. (2005). Data reduction for the scalable automated analysis of distributed darknet traffic. 21–21. 34 indexed citations
20.
Cooke, Evan, Michael Bailey, David Watson, Farnam Jahanian, & Jose Nazario. (2004). The Internet motion sensor: A distributed global scoped Internet threat monitoring system. 11 indexed citations

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.

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