Mark Stamp

5.3k citations

111 papers · 2.9k indexed · 1 hit paper · h-index 29

Impact in

Signal Processing top 0.2%
- Advanced Malware Detection Techniques
Software top 1%
- Software Testing and Debugging Techniques

Papers in ⓘ

Signal Processing 64
- Advanced Malware Detection Techniques 62
Computer Networks and Communications 50
- Network Security and Intrusion Detection 48

Co-authors: Fabio Di Troia (37 shared papers)Thomas H. Austin (17 shared papers)Richard M. Low (9 shared papers)Wing Hung Wong (1 shared paper)Peter Stavroulakis (1 shared paper)Corrado Aaron Visaggio (10 shared papers)Clyde F. Martin (8 shared papers)Douglas S. Reeves (1 shared paper)
Journals: Journal of Computer Virology and Hacking Techniques (29 papers)Computers & Security (4 papers)International Journal of Security and Networks (4 papers)Applied Mathematics and Computation (3 papers)Communications of the ACM (2 papers)
Partner nations: United States Italy Czechia

In The Last Decade

Mark Stamp

106 papers receiving 2.6k citations

Hit Papers

align trajectories log scale

A comparison of static, dynamic, and hybrid analysis for malware detection 2015 · 295 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2015 Journal of Computer Virology and Hacking Techniques

Peers

Countries citing papers authored by Mark Stamp

Since Specialization

Citations

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

Fields of papers citing papers by Mark Stamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Stamp. 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 Mark Stamp. The network helps show where Mark Stamp may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Stamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Stamp Line = papers co-authored together Mark Stamp links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A comparison of static, dynamic, and hybrid analysis for malware detection Journal of Computer Virology and Hacking Techniques ·Anusha Damodaran, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp Hit paper breakdown →	2015	295
2	Hunting for metamorphic engines Wing Hung Wong, Mark Stamp	2006	167
3	Information Security: Principles and Practices Mark Stamp	2005	164
4	Handbook of Information and Communication Security Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Peter Stavroulakis, Mark Stamp	2010	162
5	Opcode graph similarity and metamorphic detection Neha Runwal, Richard M. Low, Mark Stamp	2012	105
6	Structural entropy and metamorphic malware Journal of Computer Virology and Hacking Techniques ·Donabelle Baysa, Richard M. Low, Mark Stamp	2013	100
7	Hunting for undetectable metamorphic viruses Da Lin, Mark Stamp	2010	83
8	An algorithm for the k-error linear complexity of binary sequences with period 2/sup n/ IEEE Transactions on Information Theory ·Mark Stamp, Clyde F. Martin	1993	78
9	Profile hidden Markov models and metamorphic virus detection Srilatha Attaluri, Scott McGhee, Mark Stamp	2008	78
10	Information Security Mark Stamp	2011	77
11	Hidden Markov models for malware classification Journal of Computer Virology and Hacking Techniques ·Chinmayee Annachhatre, Thomas H. Austin, Mark Stamp	2014	73
12	Chi-squared distance and metamorphic virus detection Journal of Computer Virology and Hacking Techniques ·Annie H. Toderici, Mark Stamp	2012	64
13	Deriving common malware behavior through graph clustering Computers & Security ·Younghee Park, Douglas S. Reeves, Mark Stamp	2013	64
14	Feature analysis of encrypted malicious traffic Expert Systems with Applications ·Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp	2019	62
15	Detecting malware evolution using support vector machines Expert Systems with Applications ·Mayuri Wadkar, Fabio Di Troia, Mark Stamp	2019	58
16	Deep Learning versus Gist Descriptors for Image-based Malware Classification Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Di Troia, Mark Stamp	2018	57
17	Metamorphic worm that carries its own morphing engine Journal of Computer Virology and Hacking Techniques ·Sudarshan Madenur Sridhara, Mark Stamp	2012	54
18	Exploring Hidden Markov Models for Virus Analysis: A Semantic Approach Thomas H. Austin, Éric Filiol, Sébastien Josse, Mark Stamp	2013	50
19	Convolutional neural networks and extreme learning machines for malware classification Journal of Computer Virology and Hacking Techniques ·Mugdha Jain, William Andreopoulos, Mark Stamp	2020	47
20	Simple substitution distance and metamorphic detection Journal of Computer Virology and Hacking Techniques ·Gayathri Shanmugam, Richard M. Low, Mark Stamp	2013	45

About Mark Stamp

Mark Stamp is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 111 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (62 papers), Network Security and Intrusion Detection (48 papers), Anomaly Detection Techniques and Applications (16 papers), Spam and Phishing Detection (13 papers), Digital and Cyber Forensics (10 papers), Software Testing and Debugging Techniques (10 papers), User Authentication and Security Systems (7 papers) and Cryptographic Implementations and Security (6 papers). The work is most often cited by research in Signal Processing (2.0k citations), Software (347 citations), Computer Networks and Communications (1.8k citations), Information Systems (1.2k citations) and Artificial Intelligence (1.1k citations). Mark Stamp has collaborated with scholars based in United States, Italy and Czechia. Frequent co-authors include Fabio Di Troia, Thomas H. Austin, Richard M. Low, Wing Hung Wong, Peter Stavroulakis, Corrado Aaron Visaggio, Clyde F. Martin, Douglas S. Reeves, Younghee Park and Éric Filiol. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Computers & Security, International Journal of Security and Networks, Applied Mathematics and Computation and Communications of the ACM.

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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