Michael E. Locasto

2.0k total citations
84 papers, 1.2k citations indexed

About

Michael E. Locasto is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Michael E. Locasto has authored 84 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 44 papers in Signal Processing and 41 papers in Information Systems. Recurrent topics in Michael E. Locasto's work include Advanced Malware Detection Techniques (44 papers), Network Security and Intrusion Detection (36 papers) and Information and Cyber Security (23 papers). Michael E. Locasto is often cited by papers focused on Advanced Malware Detection Techniques (44 papers), Network Security and Intrusion Detection (36 papers) and Information and Cyber Security (23 papers). Michael E. Locasto collaborates with scholars based in United States, Canada and United Kingdom. Michael E. Locasto's co-authors include Angelos D. Keromytis, Salvatore J. Stolfo, Angelos Stavrou, Stelios Sidiroglou, Sergey Bratus, Stephen Boyd, Gabriela F. Cretu, Jens Mache, Richard Weiss and Anna Shubina and has published in prestigious journals such as Communications of the ACM, Machine Learning and IEEE Systems Journal.

In The Last Decade

Michael E. Locasto

77 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Locasto United States 19 659 629 554 476 127 84 1.2k
Golden G. Richard United States 20 660 1.0× 356 0.6× 815 1.5× 1.0k 2.1× 55 0.4× 90 1.5k
Sergey Bratus United States 16 335 0.5× 444 0.7× 394 0.7× 294 0.6× 69 0.5× 67 803
Nayeem Islam United States 14 634 1.0× 538 0.9× 427 0.8× 404 0.8× 55 0.4× 31 1.1k
John Aycock Canada 14 392 0.6× 421 0.7× 360 0.6× 354 0.7× 108 0.9× 88 964
Joshua Mason United States 15 883 1.3× 686 1.1× 690 1.2× 505 1.1× 41 0.3× 24 1.3k
Luca Invernizzi United States 13 951 1.4× 796 1.3× 1.0k 1.9× 874 1.8× 83 0.7× 18 1.7k
Adam Doupé United States 22 771 1.2× 613 1.0× 984 1.8× 1.1k 2.2× 261 2.1× 79 1.7k
Vassil Roussev United States 22 376 0.6× 360 0.6× 927 1.7× 1.1k 2.4× 44 0.3× 49 1.4k
Νικόλαος Αλεξόπουλος Germany 5 256 0.4× 452 0.7× 271 0.5× 306 0.6× 49 0.4× 8 753
Ivan Krsul United States 8 741 1.1× 391 0.6× 335 0.6× 565 1.2× 108 0.9× 13 1.1k

Countries citing papers authored by Michael E. Locasto

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Locasto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Locasto. 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 E. Locasto. The network helps show where Michael E. Locasto may publish in the future.

Co-authorship network of co-authors of Michael E. Locasto

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Locasto. A scholar is included among the top collaborators of Michael E. Locasto 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 E. Locasto. Michael E. Locasto 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.
Bratus, Sergey, et al.. (2017). Curing the Vulnerable Parser: Design Patterns for Secure Input Handling.. 42. 2 indexed citations
2.
Weiss, Richard, Jens Mache, & Michael E. Locasto. (2017). Live Lesson: The EDURange Framework and a Movie-themed Exercise in Network Reconnaissance. USENIX Security Symposium. 2 indexed citations
3.
Weiss, Richard, Franklyn Turbak, Jens Mache, Erik Nilsen, & Michael E. Locasto. (2016). Finding the Balance Between Guidance and Independence in Cybersecurity Exercises. USENIX Security Symposium. 5 indexed citations
4.
Weiss, Richard, et al.. (2016). Hands-on cybersecurity exercises for introductory classes: tutorial presentation. Journal of computing sciences in colleges. 32(1). 173–175. 2 indexed citations
5.
Weiss, Richard, Michael E. Locasto, & Jens Mache. (2016). A Reflective Approach to Assessing Student Performance in Cybersecurity Exercises. 597–602. 20 indexed citations
6.
Bratus, Sergey, et al.. (2014). Why Offensive Security Needs Engineering Textbooks: Or, How to Avoid a Replay of "Crypto Wars" in Security Research.. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 39. 1 indexed citations
7.
Weiss, Richard, Jens Mache, & Michael E. Locasto. (2014). EDURange: hands-on cybersecurity exercises in the cloud. Journal of computing sciences in colleges. 30(1). 178–180. 3 indexed citations
8.
Bratus, Sergey, et al.. (2014). Why offensive security needs engineering textbooks. 39(4). 6–11. 1 indexed citations
9.
Jacobson, Michael J., Michael E. Locasto, & Payman Mohassel. (2013). Applied Cryptography and Network Security: 11th International Conference, ACNS 2013, Banff, AB, Canada, June 25-28, 2013. Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
10.
Weiss, Richard, et al.. (2013). Teaching cybersecurity through games: a cloud-based approach. Journal of computing sciences in colleges. 29(1). 113–115. 4 indexed citations
11.
Somayaji, Anil, et al.. (2012). Software diversity: security, entropy and game theory. 5–5. 15 indexed citations
12.
Bratus, Sergey, et al.. (2011). Exploit Programming: From Buffer Overflows to "Weird Machines" and Theory of Computation.. 36. 41 indexed citations
13.
Locasto, Michael E., et al.. (2010). Teaching students effective practices for commenting computer source code: tutorial presentation. Journal of computing sciences in colleges. 25(4). 53–53. 1 indexed citations
14.
Bratus, Sergey, David Kotz, Keren Tan, et al.. (2009). Dartmouth internet security testbed (DIST: building a campus-wide wireless testbed. USENIX Security Symposium. 6–6. 3 indexed citations
15.
Locasto, Michael E., et al.. (2009). Pushing boulders uphill: the difficulty of network intrusion recovery. USENIX Large Installation Systems Administration Conference. 1–1. 3 indexed citations
16.
Boyd, Stephen, Gaurav S. Kc, Michael E. Locasto, Angelos D. Keromytis, & Vassilis Prevelakis. (2008). On the General Applicability of Instruction-Set Randomization. IEEE Transactions on Dependable and Secure Computing. 7(3). 255–270. 42 indexed citations
17.
Locasto, Michael E., Angelos Stavrou, Gabriela F. Cretu, & Angelos D. Keromytis. (2007). From STEM to SEAD: speculative execution for automated defense. Columbia Academic Commons (Columbia University). 17. 17 indexed citations
18.
Locasto, Michael E., et al.. (2006). PalProtect: A Collaborative Security Approach to Comment Spam. Columbia Academic Commons (Columbia University). 170–175. 3 indexed citations
19.
Locasto, Michael E., et al.. (2006). Bloodhound: Searching Out Malicious Input in Network Flows for Automatic Repair Validation. Columbia Academic Commons (Columbia University). 2 indexed citations
20.
Locasto, Michael E., et al.. (2002). Clay: synchronous collaborative interactive environment. Journal of computing sciences in colleges. 17(6). 278–281. 2 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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