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In the context of public transportation software management suites, this paper presents a comprehensive approach to enhance the resilience and security of the Operating Support Service (OSS) and the Network Planning Service (NPS). To address connectivity challenges, we propose a novel synchronization protocol that leverages Web API IndexedDB. This protocol enables efficient data synchronization between the OSS and NPS, ensuring data consistency even in the face of network disruptions. To further strengthen the system’s security, we introduce a robust intrusion detection system (IDS) that employs advanced deep learning classification techniques. The IDS is capable of accurately detecting a wide range of cyberattacks, including zero-day attacks, by analyzing network traffic patterns. By combining these two innovative solutions, we significantly improve the overall reliability, security, and performance of the OSS-NPS system within the public transportation software management suite.

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Resilient and Secure P2P Exchange Protocol for Public Transportation Management Software Components Leveraging Web API Local Indexed Database and Deep Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Ali Darbali,
  • Smail Tigani,
  • Hasna Chaibi,
  • Rachid Saadane,
  • Abdellah Chehri,
  • Abdeslam Jakimi,
  • Khalid Minaoui

摘要

In the context of public transportation software management suites, this paper presents a comprehensive approach to enhance the resilience and security of the Operating Support Service (OSS) and the Network Planning Service (NPS). To address connectivity challenges, we propose a novel synchronization protocol that leverages Web API IndexedDB. This protocol enables efficient data synchronization between the OSS and NPS, ensuring data consistency even in the face of network disruptions. To further strengthen the system’s security, we introduce a robust intrusion detection system (IDS) that employs advanced deep learning classification techniques. The IDS is capable of accurately detecting a wide range of cyberattacks, including zero-day attacks, by analyzing network traffic patterns. By combining these two innovative solutions, we significantly improve the overall reliability, security, and performance of the OSS-NPS system within the public transportation software management suite.