An Efficient IND-CCA2 Secure Variant of the Niederreiter Encryption Scheme in the Standard Model. - K. Preetha Mathew; Sachin Vasant; Sridhar Venkatesan; C. Pandu Rangan (ACISP, 2012)

A Code-Based 1-out-of-N Oblivious Transfer Based on McEliece Assumptions. - K. Preetha Mathew; Sachin Vasant; Sridhar Venkatesan; C. Pandu Rangan (ISPEC, 2012)

Advancing WSN physical security adopting TPM-based architectures. - Mario Barbareschi; Ermanno Battista; Antonino Mazzeo; Sridhar Venkatesan (IRI, 2014)

A hardware accelerator for data classification within the sensing infrastructure. - Mario Barbareschi; Ermanno Battista; Nicola Mazzocca; Sridhar Venkatesan (IRI, 2014)

Disrupting stealthy botnets through strategic placement of detectors. - Sridhar Venkatesan; Massimiliano Albanese; Sushil Jajodia (CNS, 2015)

A Moving Target Defense Approach to Disrupting Stealthy Botnets. - Sridhar Venkatesan; Massimiliano Albanese; George Cybenko; Sushil Jajodia (MTD@CCS, 2016)

Moving Target Defense against DDoS Attacks: An Empirical Game-Theoretic Analysis. - Mason Wright; Sridhar Venkatesan; Massimiliano Albanese; Michael P. Wellman (MTD@CCS, 2016)

A quantitative risk assessment framework for adaptive Intrusion Detection in the cloud. - Luan Huy Pham; Massimiliano Albanese; Sridhar Venkatesan (CNS, 2016)

A moving target defense approach to mitigate DDoS attacks against proxy-based architectures. - Sridhar Venkatesan; Massimiliano Albanese; Kareem Amin 002; Sushil Jajodia; Mason Wright (CNS, 2016)

Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning. - Sridhar Venkatesan; Massimiliano Albanese; Ankit Shah 002; Rajesh Ganesan; Sushil Jajodia (MTD@CCS, 2017)

A Framework for Moving Target Defense Quantification. - Warren Connell; Massimiliano Albanese; Sridhar Venkatesan (SEC, 2017)

Measuring the Effectiveness of Network Deception. - Shridatt Sugrim; Sridhar Venkatesan; Jason A. Youzwak; Cho-Yu Jason Chiang; Ritu Chadha; Massimiliano Albanese; Hasan Cam (ISI, 2018)

On Defensive Cyber Deception: A Case Study Using SDN. - Cho-Yu Jason Chiang; Sridhar Venkatesan; Shridatt Sugrim; Jason A. Youzwak; Ritu Chadha; Edward I. Colbert; Hasan Cam; Massimiliano Albanese (MILCOM, 2018)

On Detecting Manifestation of Adversary Characteristics. - Sridhar Venkatesan; Shridatt Sugrim; Rauf Izmailov; Cho-Yu Jason Chiang; Ritu Chadha; Bharat Doshi; Blaine Hoffman; E. Allison Newcomb; Norbou Buchler (MILCOM, 2018)

Defending from Stealthy Botnets Using Moving Target Defenses. - Massimiliano Albanese; Sushil Jajodia; Sridhar Venkatesan (IEEE Secur. Priv., 2018)

DeBot: A novel network-based mechanism to detect exfiltration by architectural stealthy botnets. - Sridhar Venkatesan; Massimiliano Albanese; Cho-Yu Jason Chiang; Angelo Sapello; Ritu Chadha (Secur. Priv., 2018)

Identifying Stealthy Attackers in a Game Theoretic Framework Using Deception. - Anjon Basak; Charles A. Kamhoua; Sridhar Venkatesan; Marcus Gutierrez; Ahmed H. Anwar; Christopher Kiekintveld (GameSec, 2019)

VulnerVAN: A Vulnerable Network Generation Tool. - Sridhar Venkatesan; E. Allison Newcomb; Blaine Hoffman; Norbou Buchler; Jason A. Youzwak; Shridatt Sugrim; Cho-Yu Jason Chiang; Alexander Poylisher; Matthew Witkowski; Gary Walther; Michelle Wolberg; Ritu Chadha (MILCOM, 2019)

Learning and Planning in Feature Deception Games. - Zheyuan Ryan Shi; Ariel D. Procaccia; Kevin S. Chan; Sridhar Venkatesan; Noam Ben-Asher; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (CoRR, 2019)

Moving Target Defense Quantification. - Massimiliano Albanese; Warren Connell; Sridhar Venkatesan; George Cybenko (Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019)

Adaptive Cyber Defenses for Botnet Detection and Mitigation. - Massimiliano Albanese; Sushil Jajodia; Sridhar Venkatesan; George Cybenko; Thanh Hong Nguyen (Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019)

A Framework for Studying Autonomic Computing Models in Cyber Deception. - Sridhar Venkatesan; Shridatt Sugrim; Jason A. Youzwak; Cho-Yu Jason Chiang; Ritu Chadha (Adaptive Autonomous Secure Cyber Systems, 2020)

A Quantitative Framework to Model Reconnaissance by Stealthy Attackers and Support Deception-Based Defenses. - Luan Huy Pham; Massimiliano Albanese; Ritu Chadha; Cho-Yu Jason Chiang; Sridhar Venkatesan; Charles A. Kamhoua; Nandi Leslie (CNS, 2020)

Harnessing the Power of Deception in Attack Graph-Based Security Games. - Stephanie Milani; Weiran Shen; Kevin S. Chan; Sridhar Venkatesan; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (GameSec, 2020)

Learning and Planning in the Feature Deception Problem. - Zheyuan Ryan Shi; Ariel D. Procaccia; Kevin S. Chan; Sridhar Venkatesan; Noam Ben-Asher; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (GameSec, 2020)

Combinatorial Boosting of Classifiers for Moving Target Defense Against Adversarial Evasion Attacks. - Rauf Izmailov; Peter Lin; Sridhar Venkatesan; Shridatt Sugrim (MTD@CCS, 2021)

Combinatorial Boosting of Ensembles of Diversified Classifiers for Defense Against Evasion Attacks. - Rauf Izmailov; Peter Lin; Sridhar Venkatesan; Shridatt Sugrim (MILCOM, 2021)

Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. - Sridhar Venkatesan; Harshvardhan Sikka; Rauf Izmailov; Ritu Chadha; Alina Oprea; Michael J. De Lucia (MILCOM, 2021)

Data Sanitization Approach to Mitigate Clean-Label Attacks Against Malware Detection Systems. - Samson Ho; Achyut Reddy; Sridhar Venkatesan; Rauf Izmailov; Ritu Chadha; Alina Oprea (MILCOM, 2022)

R-Sentry: Deception based ransomware detection using file access patterns. - Shina Sheen; K. A. Asmitha; Sridhar Venkatesan (Comput. Electr. Eng., 2022)

An Improved Nested Training Approach to Mitigate Clean-label Attacks against Malware Classifiers. - Achyut Reddy; Sridhar Venkatesan; Rauf Izmailov; Alina Oprea (MILCOM, 2023)

Data-Driven Constraint Mining for Realizable Adversarial Samples. - Bleema Rosenfeld; Sridhar Venkatesan; Rauf Izmailov; Matthew Yudin; Constantin Serban; Ritu Chadha (MILCOM, 2023)

Backdoor Attacks During Retraining of Machine Learning Models: A Mitigation Approach. - Matthew Yudin; Achyut Reddy; Sridhar Venkatesan; Rauf Izmailov (SECRYPT, 2024)

Reconstructing Fine-Grained Network Data using Autoencoder Architectures with Domain Knowledge Penalties. - Mark Cheung; Sridhar Venkatesan (CoRR, 2025)