My Research

Current research direction:

Data Quality & AI: Advancing Evaluation for a Secure Future

My research bridges the fields of computer security, privacy, AI, and ML to create novel methods for data quality evaluation.

• I am building a comprehensive framework that merges conventional data quality metrics with cybersecurity considerations, initially focusing on Android devices and expanding to iOS for broader applicability.

• My research aims to develop a proof-of-concept design that not only collects data from smartphones but also provides invaluable data quality and security estimates, empowering data consumers to make informed decisions.

Mobile Security & AI: Detecting Collusion, Protecting Privacy

I'm dedicated to enhancing mobile security and privacy.

• My research investigates cutting-edge techniques to detect "colluded applications" attacks, where malicious apps bypass security mechanisms. By thwarting these attacks, we can significantly improve user privacy and system security on mobile devices, safeguarding the vast amount of personal data they hold.

• My practice-oriented approach has led to the development of Android applications available on the Google Play Store, demonstrating real-world impact and reaching hundreds of users.

Future Research: Shaping the Future of AI, Security & Privacy:

I am committed to continuing my interdisciplinary research, pushing the boundaries of AI and ML in cybersecurity, privacy, and data quality.

• My future work includes refining data quality evaluation, exploring new applications, and leveraging AI to enhance its effectiveness.

• I'll also delve deeper into mobile security, seeking innovative ways to protect Android and iOS devices.

• The detection, mitigation, and recovery from "colluded applications" attacks will remain a focal point, utilizing advanced AI and ML techniques.

• Ultimately, my goal is to create a future where mobile users enjoy robust privacy protection without sacrificing usability or experience.

Education

Ph.D. (2016 - 2020)

• Rochester Institute of Technology, B. Thomas Golisano College of Computing and Information Sciences Department of Computer Science

BS/MS in Electronic Systems (2001 - 2007)

• National Technical University of Ukraine "Kyiv Polytechnic Institute"

Experience

2021 - Present

• Assistant Professor (Cybersecurity) at the School of Computer Science and Engineering at Sacred Heart University, Connecticut

2020 - 2021

• Postdoctoral Research Scientist at the Department of Software Engineering, Rochester Institute of Technology, New York

2018

• Adjunct Faculty, Department of Computer Science, Rochester Institute of Technology, New York

2016 - 2020

• Research Assistant, Department of Computer Science, Rochester Institute of Technology, New York

2013 - 2015

• Android Application Developer, Embedded electronics team leader, JNI and JNA technologies consultant, Dynamo Development

2008 - 2013

• Application Developer (Android, Windows), EDAPS, JSC "KP OTI"

Grants received

• Kaya, T. (Principal), Bowlyn, K. (Co-Principal), Khoklov, I. (Co-Principal), Senbel, S. (Co-Principal), Shaenfield, D. (Co-Principal), "Increasing Perseverance and Retention of Computing and Engineering Students Through Service," Sponsored by National Science Foundation. (October 1, 2022 - September 30, 2027).

• Khokhlov, I. (Co-Principal), "Security Evaluation and Improvement of the Personal Cyberinfrastructure with New Tools and Education Development," Sponsored by CRDF Global. (August 31, 2021 - August 31, 2022).

• Reznik R. (Principal), Igor Khokhlov (Co-Principal), “Self-learning capabilities for a mission-oriented data quality and security assurance in military IoT systems,” Sponsored by US Military Academy/DoD, (September 30, 2020 - September 29, 2021).

Publications

1. Raman Zatsarenko, Sergei Chuprov, Leon Reznik, and Igor Khokhlov, "Data Quality Based Intelligent Instrument Selection with Security Integration. J. Data and Information Quality", Just Accepted (September 2024). https://doi.org/10.1145/3695770

2. Okutan, Ahmet, Peter Mell, Mehdi Mirakhorli, Igor Khokhlov, Joanna CS Santos, Danielle Gonzalez, and Steven Simmons. "Empirical validation of automated vulnerability curation and characterization." IEEE Transactions on Software Engineering 49, no. 5 (2023): 3241-3260.

3. Khokhlov, Igor, Sergei Chuprov, and Leon Reznik. "Integrating Security with Accuracy Evaluation in Sensors Fusion." In 2022 IEEE Sensors, pp. 1-4. IEEE, 2022.

4. Chuprov, Sergei, Leon Reznik, Igor Khokhlov, and Karan Manghi. "Multi-Modal Sensor Selection with Genetic Algorithms." In 2022 IEEE Sensors, pp. 1-4. IEEE, 2022.

5. Khokhlov, Igor, Ahmet Okutan, Ryan Bryla, Steven Simmons, and Mehdi Mirakhorli. "Automated Extraction of Software Names from Vulnerability Reports using LSTM and Expert System." In 2022 IEEE 29th Annual Software Technology Conference (STC), pp. 125-134. IEEE, 2022.

6. Chuprov, Sergei, Igor Khokhlov, Leon Reznik, and Srujan Shetty. "Influence of transfer learning on machine learning systems robustness to data quality degradation." In 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1-8. IEEE, 2022.

7. Fazelnia, Mohamad, Igor Khokhlov, and Mehdi Mirakhorli. "Attacks, defenses, and tools: A framework to facilitate robust AI/ML systems." arXiv preprint arXiv:2202.09465 (2022).

8. Chuprov, Sergei, Ilia Viksnin, Iuliia Kim, Timofey Melnikov, Leon Reznik, and Igor Khokhlov. "Improving knowledge based detection of soft attacks against autonomous vehicles with reputation, trust and data quality service models." In 2021 IEEE International Conference on Smart Data Services (SMDS), pp. 115-120. IEEE, 2021.

9. Khokhlov I., Reznik L., Chuprov S., "Framework for Integral Data Quality and Security Evaluation in Smartphones", in IEEE Systems Journal, DOI: 10.1109/JSYST.2020.2985343, 2020

10. Khokhlov I., Reznik L., Ajmera S., "Sensors in Mobile Devices Knowledge Base," in IEEE Sensors Letters, vol. 4, no. 3, pp. 1-4, March 2020, Art no. 5500404, doi: 10.1109/LSENS.2020.2975161.

11. Alrubaye H., Mkaouer M.W., Khokhlov I., Reznik L., Ouni A., Mcgoff J., “Learning to Recommend Third-Party Library Migration Opportunities at the API Level”, in Applied Soft Computing, Volume 90, 2020, 106140, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2020.106140.

12. Khokhlov I., Ligade N., Reznik L., “Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices”,in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207339

13. Khokhlov I., Reznik L., Lyshevski S., “Adaptive Data Fusion in Inertial Sensors and Data Quality of Sensor Networks”, 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, April 2020, DOI: 10.1109/ELNANO50318.2020.

14. Khokhlov I., Reznik L., “Knowledge Graph in Data Quality Evaluation for IoT Applications”, in 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020, pp. 1-6, doi: 10.1109/WF-IoT48130.2020.9221091. Received Outstanding Student Paper award.

15. Chuprov S., Marinenkov E., Viksnin I., Reznik L., Khokhlov I., “Image Processing in Autonomous Vehicle Model Positioning and Movement Control”, in 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, 2020, pp. 1-6, doi: 10.1109/WF-IoT48130.2020.9221258.

16. Khokhlov I., Reznik L., “What is the Value of Data Value in Practical Security Applications”, in 2020 IEEE Systems Security Symposium (SSS), Crystal City, VA, USA, 2020, pp. 1-8, doi: 10.1109/SSS47320.2020.9174457.

17. Chuprov S., Viksnin I., Kim I., Reznik L., Khokhlov I., “Reputation and Trust Models with Data Quality Metrics for Improving Autonomous Vehicles Traffic Security and Safety”, in 2020 IEEE Systems Security Symposium (SSS), Crystal City, VA, USA, 2020, pp. 1-8, doi: 10.1109/SSS47320.2020.9174269.

18. Khokhlov I., Perez M., Reznik L., “Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices”, in 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1328-1333, doi: 10.1109/ICMLA.2019.00216.

19. Khokhlov I., Reznik L., Bhaskar R., “The Machine Learning Models For Activity Recognition Applications With Wearable Sensors”, in 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 387-391, doi: 10.1109/ICMLA.2019.00072.

20. Khokhlov I., Perez M., Reznik L., “System Signals Monitoring And Processing For Colluded Application Attacks Detection In Android OS”, in 2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), Rochester, NY, USA, 2019, pp. 1-5, doi: 10.1109/WNYIPW.2019.8923113..

21. Khokhlov I., Pudage A., Reznik L., “Sensor Selection Optimization with Genetic Algorithms”, in 2019 IEEE SENSORS, Montreal, QC, Canada, 2019, pp. 1-4, doi: 10.1109/SENSORS43011.2019.8956579.

22. Khokhlov I., Li Q., Reznik L., “D.I.F.E.N.S.E.: Distributed Intelligent Framework for Expendable Android Security Evaluation”, in “The 14th Annual Symposium on Information Assurance (ASIA '19)”, Albany, NY, USA, June 2019 (pp. 18-27).

23. Khokhlov I., Jain C., Miller-Jacobson B., Heyman A., Reznik L., St.Jacques R., “MeetCI: A Computational Intelligence Software Design Automation Framework”,  2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro, 2018, pp. 1-8, doi: 10.1109/FUZZ-IEEE.2018.8491664.

24. Killawala A., Khokhlov I., Reznik L., “Computational Intelligence Framework for Automatic Quiz Question Generation”, in 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro, 2018, pp. 1-8, doi: 10.1109/FUZZ-IEEE.2018.8491624.

25. Khokhlov I., Reznik L., Cappos J. and Bhaskar R., “Design of activity recognition systems with wearable sensors”, in 2018 IEEE Sensors Applications Symposium (SAS), Seoul, 2018, pp. 1-6, doi: 10.1109/SAS.2018.8336752.

26. Vora A., Reznik L. Khokhlov I., “Mobile road pothole classification and reporting with data quality estimates”, in 2018 Fourth International Conference on Mobile and Secure Services (MobiSecServ), Miami Beach, FL, 2018, pp. 1-6, doi: 10.1109/MOBISECSERV.2018.8311437.

27. Khokhlov I., Reznik L.,“Android System Security Evaluation”, in 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, 2018, pp. 1-2, doi: 10.1109/CCNC.2018.8319325.

28. Khokhlov I., Reznik L., Jothilingam S.B., “What Can Data Analysis Recommend on Design of Wearable Sensors?”, in 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, 2018, pp. 1-2, doi: 10.1109/CCNC.2018.8319288. 

29. Khokhlov I., Reznik L., “Colluded Applications Vulnerabilities in Android Devices”, in 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Orlando, FL, 2017, pp. 462-469, doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.89.

30. Khokhlov I., Reznik L., Kumar A., Mookherjee A. and Dalvi R., “Data Security and Quality Evaluation Framework: Implementation Empirical Study on Android Devices.”, in 2017 20th Conference of Open Innovations Association (FRUCT), St. Petersburg, 2017, pp. 161-168, doi: 10.23919/FRUCT.2017.8071307.

31. Khokhlov I., Reznik L., “Data Security Evaluation for Mobile Android Devices.”, in 2017 20th Conference of Open Innovations Association (FRUCT), St. Petersburg, 2017, pp. 154-160, doi: 10.23919/FRUCT.2017.8071306.

Webinar

1. Reznik L. and Khokhlov I., 2018. Trusted CI Webinar organized by the National Center for Supercomputing Applications at University of Illinois at Urbana-Champaign under auspices of NSF: “Data Quality & Security Evaluation Framework Development with Leon Reznik & Igor Khokhlov”.  Accessible at: http://hdl.handle.net/2142/99558 , https://youtu.be/nkp0kvJvTWw 

Invited Talks and Presentations to the Professional Conferences 

1. “Smartphone Security Evaluation in the Era of Big Data” Igor Khokhlov, Leon Reznik. Rochester Security Summit 2019, Oct 2-3, 2019, Rochester, NY.

2. “Is your phone secure enough? Can it produce quality data?” Igor Khokhlov, Leon Reznik. ISACA WNY 2019 Control and Compliance Conference, May 7, 2019, Rochester, NY.

3. “What is Android Colluded Applications Attack and How to Detect It?” Igor Khokhlov, Leon Reznik. Rochester Security Summit 2018, Oct 9-10, 2018, Rochester, NY.

4. “Is my smartphone secure enough?” Qiaoran Li, Igor Khokhlov, Leon Reznik, Great Lakes Security Day 2018, Sep. 14, 2018 at Rochester Institute of Technology.

5. “Our work in AI and security: from data quality and security research to intelligent systems education” Leon Reznik, Igor khokhlov. [RIT-AI] Rochester Institute of Technology, Jan. 29, 2018.

6. “Data quality and security evaluation cyberinfrastructure applications” Leon Reznik, Igor Khokhlov, TTP 2018, April 17, 2018, New York, New York. Organized by Internet2, Under the auspices of NSF.