Igor Khokhlov

Orcid: 0000-0002-8438-8959

According to our database1, Igor Khokhlov authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data Quality Based Intelligent Instrument Selection with Security Integration.
ACM J. Data Inf. Qual., September, 2024

2023
Empirical Validation of Automated Vulnerability Curation and Characterization.
IEEE Trans. Software Eng., 2023

2022
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems.
CoRR, 2022

Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Integrating Security with Accuracy Evaluation in Sensors Fusion.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Multi-Modal Sensor Selection with Genetic Algorithms.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Framework for Integral Data Quality and Security Evaluation in Smartphones.
IEEE Syst. J., 2021

Improving Knowledge Based Detection of Soft Attacks Against Autonomous Vehicles with Reputation, Trust and Data Quality Service Models.
Proceedings of the IEEE International Conference on Smart Data Services, 2021

2020
Learning to recommend third-party library migration opportunities at the API level.
Appl. Soft Comput., 2020

Knowledge Graph in Data Quality Evaluation for IoT applications.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Image Processing in Autonomous Vehicle Model Positioning and Movement Control.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Sensor Selection Optimization with Genetic Algorithms.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

The Machine Learning Models for Activity Recognition Applications with Wearable Sensors.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Design of activity recognition systems with wearable sensors.
Proceedings of the 2018 IEEE Sensors Applications Symposium, 2018

Computational Intelligence Framework for Automatic Quiz Question Generation.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

MeetCI: A Computational Intelligence Software Design Automation Framework.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

What can data analysis recommend on design of wearable sensors?
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

Android system security evaluation.
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018

2017
Data security and quality evaluation framework: Implementation empirical study on android devices.
Proceedings of the 20th Conference of Open Innovations Association, 2017

Data security evaluation for mobile android devices.
Proceedings of the 20th Conference of Open Innovations Association, 2017

Colluded Applications Vulnerabilities in Android Devices.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017


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