Search Results - "Baye, Gaspard"

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  1. 1

    Cache Sharing in UAV-Enabled Cellular Network: A Deep Reinforcement Learning-Based Approach by Muslih, Hamidullah, Kazmi, S. M. Ahsan, Mazzara, Manuel, Baye, Gaspard

    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. 2

    Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience by Silva, Priscila, Baye, Gaspard, Hotchkiss, Mindy, Kul, Gokhan, Bastian, Nathaniel D., Fiondella, Lance

    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. 3

    Computing on Wheels: A Deep Reinforcement Learning-Based Approach by Kazmi, S. M. Ahsan, Ho, Tai Manh, Nguyen, Tuong Tri, Fahim, Muhammad, Khan, Adil, Piran, Md. Jalil, Baye, Gaspard

    “…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
  4. 4

    Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation (Practical Experience Report) by Sorrentino, Julia, Silva, Priscila, Baye, Gaspard, Kul, Gokhan, Fiondella, Lance

    “…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
  5. 5

    Predicting F1-Scores of Classifiers in Network Intrusion Detection Systems by Silva, Priscila, Baye, Gaspard, Broggi, Alexandre, Bastian, Nathaniel D., Kul, Gokhan, Fiondella, Lance

    “…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
  6. 6

    Performance Analysis of Deep-Learning Based Open Set Recognition Algorithms for Network Intrusion Detection Systems by Baye, Gaspard, Silva, Priscila, Broggi, Alexandre, Fiondella, Lance, Bastian, Nathaniel D., Kul, Gokhan

    “…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
  7. 7

    Short Paper: Static and Microarchitectural ML-Based Approaches For Detecting Spectre Vulnerabilities and Attacks by Biringa, Chidera, Baye, Gaspard, Kul, Gökhan

    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
  8. 8

    API Security in Large Enterprises: Leveraging Machine Learning for Anomaly Detection by Baye, Gaspard, Hussain, Fatima, Oracevic, Alma, Hussain, Rasheed, Ahsan Kazmi, S.M.

    “…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