Igor Khokhlov
УК
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Dr. Igor Khokhlov

Assistant Professor of Cybersecurity
School of Computing & Engineering, Sacred Heart University

[email protected]
igor.khokhlov.org
Fairfield, Connecticut
Updated October 2026

Academic and professional experience

2021 – presentAssistant Professor of Cybersecurity, Sacred Heart University, School of Computing & Engineering
2020 – 2021Postdoctoral Research Scientist, Rochester Institute of Technology. Automated vulnerability intelligence
2016 – 2020Ph.D. student and research assistant, Rochester Institute of Technology. Advisor: Dr. Leon Reznik
2013 – 2015Embedded team leader, Dynamo Development. Android, Windows and embedded software

Education

2020Ph.D., Computing and Information Sciences, Rochester Institute of Technology
2007Master's degree, Electronic Systems, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
2005Bachelor's degree, Electronic Systems, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Research

Published 2026, with simulation artifactsPrivacy and metadata-resistant communication. How well can decoy traffic keep an observer of the network from learning who a message was for, and what does that cost in bandwidth and incentives?
Published 2022–2023; ongoingAI and machine learning for cybersecurity. How far can automated analysis take over vulnerability curation from human analysts, and how robust are ML systems when their data or models are attacked or degraded?
Published 2017–2024Data quality and security in mobile and IoT systems. When a system selects or combines sensor data, how should accuracy, reliability and the security of each source be weighed against each other?
Published 2017–2020Mobile and Android security. Can coordinated behavior between apps be recognized from what the operating system observes while they run?
Work in progressBusiness email compromise and explainable AI. Can a detector catch business email compromise and also explain its reasoning well enough for a person to decide what to do with the alert?

Grants and sponsored research

2022 – 2027Increasing Perseverance and Retention of Computing and Engineering Students Through Service. National Science Foundation. Co-Principal Investigator.
2021 – 2022Security Evaluation and Improvement of the Personal Cyberinfrastructure with New Tools and Education Development. CRDF Global. Co-Principal Investigator.
2020 – 2021Self-Learning Capabilities for Mission-Oriented Data Quality and Security Assurance in Military IoT Systems. U.S. Military Academy / Department of Defense. Co-Principal Investigator.

Teaching

Current courses, Fall 2026

CY-212 / ITI-212Web Development in UNIX
CY-221Foundations of Cybersecurity
CY-410Software and System Security
CY-424Emerging Trends in Cybersecurity

Graduate courses at Sacred Heart University

CS/CY 626 Introduction to Cybersecurity; CS 627 System Security; CS/CY 660 Special Topics in Cybersecurity; CY 680 Cybersecurity Practicum; CS 690 Thesis I; CY 691 Thesis II.

Undergraduate courses and supervision at Sacred Heart University

CS 241 C Programming Concepts; CSE/CY 125 Explorations; CY 413 Internship in Cybersecurity; CY 414 Directed Research; CY 417/418 Cybersecurity Capstone I and II; CY 419 Cooperative Studies.

Earlier teaching

Foundations of Intelligent Systems (Rochester Institute of Technology); Computer Systems (Rochester Institute of Technology); Object-Oriented Programming (Igor Sikorsky Kyiv Polytechnic Institute).

Publications

Journal articles

  1. S. Chuprov, R. Zatsarenko, L. Reznik, and I. Khokhlov (2024). Data Quality Based Intelligent Instrument Selection with Security Integration. ACM Journal of Data and Information Quality, 16(3), Article 15, pp. 1–24. doi:10.1145/3695770
  2. A. Okutan, P. Mell, M. Mirakhorli, I. Khokhlov, J. C. S. Santos, D. Gonzalez, and S. Simmons (2023). Empirical Validation of Automated Vulnerability Curation and Characterization. IEEE Transactions on Software Engineering, 49(5), pp. 3241–3260. doi:10.1109/TSE.2023.3250479
  3. I. Khokhlov, L. Reznik, and S. Chuprov (2021). Framework for Integral Data Quality and Security Evaluation in Smartphones. IEEE Systems Journal, 15(2), pp. 2058–2065. doi:10.1109/JSYST.2020.2985343
  4. H. Alrubaye, M. W. Mkaouer, I. Khokhlov, L. Reznik, A. Ouni, and J. McGoff (2020). Learning to Recommend Third-Party Library Migration Opportunities at the API Level. Applied Soft Computing, Vol. 90, Article 106140. doi:10.1016/j.asoc.2020.106140
  5. I. Khokhlov, L. Reznik, and S. Ajmera (2020). Sensors in Mobile Devices Knowledge Base. IEEE Sensors Letters, 4(3), pp. 1–4. doi:10.1109/LSENS.2020.2975161

Conference papers

  1. I. Khokhlov, Y. Khokhlov, and O. Weissman (2026). G.H.O.S.T: A Scalable Framework for Metadata-Resistant Messaging with Token-Based Incentives. Proceedings of the 12th International Conference on Information Systems Security and Privacy (ICISSP 2026), Vol. 2, pp. 431–438. doi:10.5220/0014610100004061
  2. I. Khokhlov, A. Okutan, R. Bryla, S. Simmons, and M. Mirakhorli (2022). Automated Extraction of Software Names from Vulnerability Reports Using LSTM and Expert System. 2022 IEEE 29th Annual Software Technology Conference (STC), pp. 125–134. doi:10.1109/STC55697.2022.00024
  3. I. Khokhlov, S. Chuprov, and L. Reznik (2022). Integrating Security with Accuracy Evaluation in Sensors Fusion. 2022 IEEE Sensors, pp. 1–4. doi:10.1109/SENSORS52175.2022.9967235
  4. S. Chuprov, L. Reznik, I. Khokhlov, and K. Manghi (2022). Multi-Modal Sensor Selection with Genetic Algorithms. 2022 IEEE Sensors, pp. 1–4. doi:10.1109/SENSORS52175.2022.9967296
  5. S. Chuprov, I. Khokhlov, L. Reznik, and S. Shetty (2022). Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. doi:10.1109/IJCNN55064.2022.9892247
  6. S. Chuprov, I. Viksnin, I. Kim, T. Melnikov, L. Reznik, and I. Khokhlov (2021). Improving Knowledge Based Detection of Soft Attacks Against Autonomous Vehicles with Reputation, Trust and Data Quality Service Models. 2021 IEEE International Conference on Smart Data Services (SMDS), pp. 115–120. doi:10.1109/SMDS53860.2021.00025
  7. I. Khokhlov, N. Ligade, and L. Reznik (2020). Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices. 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. doi:10.1109/IJCNN48605.2020.9207339
  8. I. Khokhlov, L. Reznik, and S. E. Lyshevski (2020). Adaptive Data Fusion in Inertial Sensors and Data Quality Analysis of Sensor Networks. 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), pp. 430–435. doi:10.1109/ELNANO50318.2020.9088859
  9. S. Chuprov, I. Viksnin, I. Kim, L. Reznik, and I. Khokhlov (2020). Reputation and Trust Models with Data Quality Metrics for Improving Autonomous Vehicles Traffic Security and Safety. 2020 IEEE Systems Security Symposium (SSS), pp. 1–8. doi:10.1109/SSS47320.2020.9174269
  10. I. Khokhlov and L. Reznik (2020). What Is the Value of Data Value in Practical Security Applications. 2020 IEEE Systems Security Symposium (SSS), pp. 1–8. doi:10.1109/SSS47320.2020.9174457
  11. S. Chuprov, E. Marinenkov, I. Viksnin, L. Reznik, and I. Khokhlov (2020). Image Processing in Autonomous Vehicle Model Positioning and Movement Control. 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), pp. 1–6. doi:10.1109/WF-IoT48130.2020.9221258
  12. I. Khokhlov and L. Reznik (2020). Knowledge Graph in Data Quality Evaluation for IoT Applications. 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), pp. 1–6. doi:10.1109/WF-IoT48130.2020.9221091
  13. I. Khokhlov, M. Perez, and L. Reznik (2019). Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices. 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1328–1333. doi:10.1109/ICMLA.2019.00216
  14. I. Khokhlov, L. Reznik, and R. Bhaskar (2019). The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 387–391. doi:10.1109/ICMLA.2019.00072
  15. I. Khokhlov, M. Perez, and L. Reznik (2019). System Signals Monitoring and Processing for Colluded Application Attacks Detection in Android OS. 2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1–5. doi:10.1109/WNYIPW.2019.8923113
  16. I. Khokhlov, A. Pudage, and L. Reznik (2019). Sensor Selection Optimization with Genetic Algorithms. 2019 IEEE Sensors, pp. 1–4. doi:10.1109/SENSORS43011.2019.8956579
  17. I. Khokhlov, Q. Li, and L. Reznik (2019). D.I.F.E.N.S.E.: Distributed Intelligent Framework for Expendable Android Security Evaluation. The 14th Annual Symposium on Information Assurance (ASIA '19), pp. 18–27.
  18. I. Khokhlov, C. Jain, B. Miller-Jacobson, A. Heyman, L. Reznik, and R. St. Jacques (2018). MeetCI: A Computational Intelligence Software Design Automation Framework. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–8. doi:10.1109/FUZZ-IEEE.2018.8491664
  19. A. Killawala, I. Khokhlov, and L. Reznik (2018). Computational Intelligence Framework for Automatic Quiz Question Generation. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–8. doi:10.1109/FUZZ-IEEE.2018.8491624
  20. I. Khokhlov, L. Reznik, J. Cappos, and R. Bhaskar (2018). Design of Activity Recognition Systems with Wearable Sensors. 2018 IEEE Sensors Applications Symposium (SAS), pp. 1–6. doi:10.1109/SAS.2018.8336752
  21. A. Vora, L. Reznik, and I. Khokhlov (2018). Mobile Road Pothole Classification and Reporting with Data Quality Estimates. 2018 Fourth International Conference on Mobile and Secure Services (MobiSecServ), pp. 1–6. doi:10.1109/MOBISECSERV.2018.8311437
  22. I. Khokhlov and L. Reznik (2018). Android System Security Evaluation. 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 1–2. doi:10.1109/CCNC.2018.8319325
  23. I. Khokhlov, L. Reznik, and S. B. Jothilingam (2018). What Can Data Analysis Recommend on Design of Wearable Sensors? 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 1–2. doi:10.1109/CCNC.2018.8319288
  24. I. Khokhlov and L. Reznik (2017). Colluded Applications Vulnerabilities in Android Devices. 2017 IEEE DASC/PiCom/DataCom/CyberSciTech, pp. 462–469. doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2017.89
  25. I. Khokhlov, L. Reznik, A. Kumar, A. Mookherjee, and R. Dalvi (2017). Data Security and Quality Evaluation Framework: Implementation Empirical Study on Android Devices. 2017 20th Conference of Open Innovations Association (FRUCT), pp. 161–168. doi:10.23919/FRUCT.2017.8071307
  26. I. Khokhlov and L. Reznik (2017). Data Security Evaluation for Mobile Android Devices. 2017 20th Conference of Open Innovations Association (FRUCT), pp. 154–160. doi:10.23919/FRUCT.2017.8071306

Preprints

  1. M. Fazelnia, I. Khokhlov, and M. Mirakhorli (2022). Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems. arXiv preprint, arXiv:2202.09465. arxiv.org/abs/2202.09465

Dissertation

  1. I. Khokhlov (2020). Integrated Framework for Data Quality and Security Evaluation on Mobile Devices. Doctoral dissertation, Rochester Institute of Technology.

Reports

  1. L. Reznik and I. Khokhlov (2020). From Data Communication to Delivery of Quality Data. White paper.

Talks and service

March 2026Session chair, Security Testing. ICISSP 2026.
January 2025How AI Can Be Used to Enhance Your Cybersecurity. BrightTALK webinar.
2024 – 2025Faculty Presidential Seminar participant. Sacred Heart University.
OngoingArtificial Intelligence Committee. Sacred Heart University, with curriculum and accreditation work.
OngoingPublic talks on cybersecurity and privacy. Local libraries and media appearances.
March 2018Data Quality and Security Evaluation Framework, with Leon Reznik. Trusted CI webinar.

Profiles

Google Scholarscholar.google.com/citations?user=NrrJOskAAAAJ&hl=en
Sacred Heart faculty profilesacredheart.edu/phonebook/igor-khokhlov.php
Pure research portalsacredheart.elsevierpure.com/en/persons/igor-khokhlov/
GitHubgithub.com/i-xoxol
LinkedInlinkedin.com/in/igor-khokhlov-19415852