Výsledky vyhledávání - "Sridhar Venkatesan"

Combinatorial Boosting of Classifiers for Moving Target Defense Against Adversarial Evasion Attacks

Autor: Sridhar Venkatesan, Rauf Izmailov, Shridatt Sugrim, Peter Lin

Publikováno v: MTD@CCS

Adversarial evasion attacks challenge the integrity of machine learning models by creating out-of-distribution samples that are consistently misclassified by these models. While a variety of detection and mitigation approaches have been proposed, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68db8915bc03607c564c2cb3a82bd324
https://doi.org/10.1145/3474370.3485661

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R-Sentry: Deception based ransomware detection using file access patterns

Autor: Shina Sheen, K A Asmitha, Sridhar Venkatesan

Publikováno v: Computers and Electrical Engineering. 103:108346

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e571a2283bb2a0010d919def6e5f9dd
https://doi.org/10.1016/j.compeleceng.2022.108346

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VulnerVAN: Automating the Generation of Vulnerable Network Scenarios for Cybersecurity Events and Training Exercises VulnerVAN: Automating the Generation of Vulnerable Network Scenarios for Cybersecurity Events and Training Exercises Technical Report VulnerVAN: Automating the Generation of Vulnerable Network Scenarios for Cybersecurity Events and Training Exercises

Autor: Sridhar Venkatesan, Youzwak, Jason A, Cho-Yu J Chiang, Shridatt Sugrim, Poylisher, Alexander, Witkowski, Matthew, Walther, Gary, Wolberg, Michelle, Chadha, Ritu, E Allison Newcomb, Hoffman, Blaine, Norbou Buchler

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::126bdaa4ad7885f24f821b2528f97751

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A Quantitative Framework to Model Reconnaissance by Stealthy Attackers and Support Deception-Based Defenses

Autor: Ritu Chadha, Massimiliano Albanese, Luan Huy Pham, Sridhar Venkatesan, Cho-Yu J. Chiang, Charles A. Kamhoua, Nandi O. Leslie

Publikováno v: CNS

In recent years, persistent cyber adversaries have developed increasingly sophisticated techniques to evade detection. Once adversaries have established a foothold within the target network, using seemingly-limited passive reconnaissance techniques,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94df6c49a0365b7c20652518c1aa3e87
https://doi.org/10.1109/cns48642.2020.9162298

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Harnessing the Power of Deception in Attack Graph-Based Security Games

Autor: Fei Fang, Kevin S. Chan, Nandi O. Leslie, Weiran Shen, Charles A. Kamhoua, Stephanie Milani, Sridhar Venkatesan

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030647926
GameSec

We study the use of deception in attack graph-based Stackelberg security games. In our setting, in addition to allocating defensive resources to protect important targets from attackers, the defender can strategically manipulate the attack graph thro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7219cfb3b9eb57db602e4e524fde3ea
https://doi.org/10.1007/978-3-030-64793-3_8

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Learning and Planning in the Feature Deception Problem

Autor: Sridhar Venkatesan, Ariel D. Procaccia, Kevin S. Chan, Nandi O. Leslie, Zheyuan Ryan Shi, Fei Fang, Noam Ben-Asher, Charles A. Kamhoua

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030647926
GameSec

Today’s high-stakes adversarial interactions feature attackers who constantly breach the ever-improving security measures. Deception mitigates the defender’s loss by misleading the attacker to make suboptimal decisions. In order to formally reaso

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca47297f74b1acd5f3e69f3847023d87
https://doi.org/10.1007/978-3-030-64793-3_2

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A Framework for Studying Autonomic Computing Models in Cyber Deception

Autor: Cho-Yu Jason Chiang, Ritu Chadha, Jason A. Youzwak, Sridhar Venkatesan, Shridatt Sugrim

Publikováno v: Adaptive Autonomous Secure Cyber Systems ISBN: 9783030334314
Adaptive Autonomous Secure Cyber Systems

Cyber deception has emerged as a promising approach to increase the amount of effort required to conduct an attack campaign. Since the beginning of deception, several honey-based technologies have been built to defend individual portions of a network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b70e13f28cd099b5073ca6ffaaddd27
https://doi.org/10.1007/978-3-030-33432-1_5

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