Search Results - "Baye, Gaspard"
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1
Cache Sharing in UAV-Enabled Cellular Network: A Deep Reinforcement Learning-Based Approach
Published in IEEE access (2024)“…Caching content at base stations has proven effective at reducing transmission delays. This paper investigates the caching problem in a network of highly…”
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Journal Article -
2
Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience
Published in IEEE transactions on reliability (19-10-2024)“…Resilience engineering is the ability to design, build, and sustain systems that can deal effectively with disruptive events. Previous research focused on…”
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Journal Article -
3
Computing on Wheels: A Deep Reinforcement Learning-Based Approach
Published in IEEE transactions on intelligent transportation systems (01-11-2022)“…Future generation vehicles equipped with modern technologies will impose unprecedented computational demand due to the wide adoption of compute-intensive…”
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Journal Article -
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Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report)
Published in 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE) (01-10-2022)“…Vulnerability discovery models (VDM) have been proposed as an application of software reliability growth models (SRGM) to software security related defects…”
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Conference Proceeding -
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Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems
Published in 2024 33rd International Conference on Computer Communications and Networks (ICCCN) (29-07-2024)“…With the evolution of the Internet of Things, network intrusion detection systems (NIDS) are vital for protecting networks by monitoring and analyzing network…”
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Conference Proceeding -
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Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems
Published in NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium (08-05-2023)“…Open Set Recognition (OSR) is the ability of a machine learning (ML) algorithm to classify the known and recognize the unknown. In other words, OSR enables…”
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Conference Proceeding -
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Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks
Published 25-10-2022“…Spectre intrusions exploit speculative execution design vulnerabilities in modern processors. The attacks violate the principles of isolation in programs to…”
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Journal Article -
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API Security in Large Enterprises: Leveraging Machine Learning for Anomaly Detection
Published in 2021 International Symposium on Networks, Computers and Communications (ISNCC) (31-10-2021)“…Large enterprises offer thousands of micro-services applications to support their daily business activities by using Application Programming Interfaces (APIs)…”
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Conference Proceeding