Benjamin VanderSloot
Impact in
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- Network Security and Intrusion Detection
- Caching and Content Delivery
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
Papers in
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- Internet Traffic Analysis and Secure E-voting 6
- Cryptographic Implementations and Security 1
- Cryptography and Data Security 1
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- Network Security and Intrusion Detection 2
- Co-authors
- J. Alex Halderman (6 shared papers)Matthew Bernhard (2 shared papers)Zakir Durumeric (2 shared papers)Johanna Amann (1 shared paper)Michael Bailey (1 shared paper)Allison McDonald (3 shared papers)Roya Ensafi (2 shared papers)Eric Wustrow (4 shared papers)
- Journals
- Communications of the ACM (1 paper)USENIX Security Symposium (2 papers)Proceedings on Privacy Enhancing Technologies (1 paper)
- Partner nations
- United StatesAustriaChina
In The Last Decade
Benjamin VanderSloot
7 papers receiving 140 citations
Peers
Comparison fields: 5 of 23
- Computer Networks and Communications 80
- Artificial Intelligence 106
- Signal Processing 34
- Information Systems 67
- Hardware and Architecture 5
Countries citing papers authored by Benjamin VanderSloot
This map shows the geographic impact of Benjamin VanderSloot'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 Benjamin VanderSloot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin VanderSloot more than expected).
Fields of papers citing papers by Benjamin VanderSloot
This network shows the impact of papers produced by Benjamin VanderSloot. 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 Benjamin VanderSloot. The network helps show where Benjamin VanderSloot may publish in the future.
Co-authors
The 23 scholars most cited alongside Benjamin VanderSloot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 65 | |
| 2 | Quack: Scalable Remote Measurement of Application-Layer Censorship | 2018 | 23 |
| 3 | 2018 | 20 | |
| 4 | DDoSCoin: cryptocurrency with a malicious proof-of-work | 2016 | 11 |
| 5 | 2018 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2020 | 6 |
About Benjamin VanderSloot
Benjamin VanderSloot is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Sociology and Political Science, having authored 7 papers that have together received 142 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Malware Detection Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Multimedia Communication and Technology (1 paper), Spam and Phishing Detection (1 paper), Optical Network Technologies (1 paper), Cryptographic Implementations and Security (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Computer Networks and Communications (80 citations), Artificial Intelligence (106 citations), Signal Processing (34 citations), Information Systems (67 citations) and Hardware and Architecture (5 citations). Benjamin VanderSloot has collaborated with scholars based in United States, Austria and China. Frequent co-authors include J. Alex Halderman, Matthew Bernhard, Zakir Durumeric, Johanna Amann, Michael Bailey, Allison McDonald, Roya Ensafi, Eric Wustrow, Nick Sullivan and Luke Valenta. Their work appears in journals such as Communications of the ACM, USENIX Security Symposium and Proceedings on Privacy Enhancing Technologies.
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.