M
Marthony Taguinod
Researcher at Arizona State University
Publications - 9
Citations - 366
Marthony Taguinod is an academic researcher from Arizona State University. The author has contributed to research in topics: Web application & Common Vulnerabilities and Exposures. The author has an hindex of 6, co-authored 9 publications receiving 323 citations.
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Proceedings ArticleDOI
Policy-driven security management for fog computing: Preliminary framework and a case study
TL;DR: A policy-based management of resources in fog computing is proposed, expanding the current fog computing platform to support secure collaboration and interoperability between different user-requested resources in Fog computing.
Proceedings ArticleDOI
Toward a Moving Target Defense for Web Applications
TL;DR: This paper takes the first steps of applying Moving Target Defense concepts to web applications in order to create effective defensive layers, and discusses the implementation of two MTD approaches, which can mitigate several classes of web application vulnerabilities or exploits.
Proceedings ArticleDOI
A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications
Sailik Sengupta,Satya Gautam Vadlamudi,Subbarao Kambhampati,Adam Doupé,Ziming Zhao,Marthony Taguinod,Gail-Joon Ahn +6 more
TL;DR: This work forms an optimization problem that generates an effective switching strategy while considering the cost of switching between different web-stack configurations and develops an automated system for generating attack sets of Common Vulnerabilities and Exposures for input attacker types with predefined capabilities.
Toward a Moving Target Defense for Web Applications (Invited Paper)
TL;DR: In this article, the authors take the first steps of applying Moving Target Defense (MTD) concepts to web applications in order to create effective defensive layers, which can mitigate several classes of web application vulnerabilities or exploits.
Posted Content
Moving Target Defense for Web Applications using Bayesian Stackelberg Games
Sailik Sengupta,Satya Gautam Vadlamudi,Subbarao Kambhampati,Marthony Taguinod,Adam Doupé,Ziming Zhao,Gail-Joon Ahn +6 more
TL;DR: In this article, the authors propose modeling of a real-world MTD web application as a repeated Bayesian game and formulate an optimization problem that generates an effective switching strategy while considering the cost of switching between different web-stack configurations.