A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks

Cakir, Mehmet Ulas; Häckel, Timo; Reider, Sandra; Meyer, Philipp; Korf, Franz; Schmidt, Thomas C.

doi:10.1109/vnc48660.2019.9062794

Cited by 16 publications

(3 citation statements)

References 19 publications

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“…Nevertheless, dynamic QoS selection is not possible with the current crop of middleware solutions. In this research, Çakir et al [4] introduced a service-oriented middleware for quality-of-service-aware vehicular communication. The author contributed a multi-protocol stack that can handle the many types of communication based on the needs identified in an in-depth needs assessment, as well as a protocol for dynamic QoS negotiation.…”

Section: Literature Surveymentioning

confidence: 99%

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Imperative Node Evaluator With Self Replication Mode for Network Intrusion Detection

Mokkapati

Lakshmi

2023

IEEE Access

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In recent years, network expansion has increased exponentially, making security a pressing issue for modern systems. Monitoring user activity for abnormalities is a useful fraud detection strategy. The ability of a system to efficiently discover new, previously unknown vulnerabilities and respond in a way that minimises damage and, ideally, removes the threat, is one of the most important open research topics in the field of cyber security. This research provides a blueprint for an intrusion detection system that employs pattern matching and self-replication among other methods. As the system detects potentially dangerous symptoms in the surroundings, it compares them to the events that have become apparent so far to find a pattern that may explain their occurrence. Once this happens, it alerts other nodes in the system to keep an eye out for harmful event sequences, and it initiates the defence mechanism that lessens the number of false intrusion alarms. Using natural intrusion detection and self-healing idea, this research outlines a novel method for network security. An Imperative Node Evaluator with Self Replication Code and Auto Triggering Mode (INE-SRC-ATM) is proposed in this research for auto healing of the network if intrusion occurs and also to perform auto triggering of nodes for securing the network and reducing the false alarms. To activate the self-healing mechanism, the IDS must first identify and assess the impact of hostile actions on the network. This means that the self-healing process begins when the damage caused by malevolent activity is identified. The proposed model self triggering model immediately triggers when there is a dissimilarity on attributes that improve the network security levels. The proposed model when contrasted with the traditional model performs high in intrusion detection in terms of self replication triggering accuracy and intrusion detection accuracy levels.

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Section: Literature Surveymentioning

confidence: 99%

“…The associate editor coordinating the review of this manuscript and approving it for publication was Gongbo Zhou. into two broad classes: detection of abnormal behavior and detection of misuse [4]. The purpose of intrusion detection is to identify any out-of-the-ordinary behavior that may indicate an upcoming security breach.…”

Section: Introductionmentioning

confidence: 99%

Imperative Node Evaluator With Self Replication Mode for Network Intrusion Detection

Mokkapati

Lakshmi

2023

IEEE Access

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“…New initiatives seek to merge IT-oriented Agile models with automotive requirements. On the other hand, the evolution of business use-cases and the enhancement of in-vehicle computing and connectivity has led to the creation of new application profiles [13]. These include collaborative V2X services, highly dynamic and computed in multiple vehicles and infrastructures, enhanced IVI services with high networking and computing capabilities for specific scenarios, and remote services with direct cloud interaction, impacting integration pipelines and software life-cycle management.…”

Section: A Automotive Backgroundmentioning

confidence: 99%

Can Software Containerisation Fit The Car On-Board Systems ?

Blanco,

Le Mouël,

Lin

et al. 2023

2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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As the automotive industry evolves towards interconnected and intelligent vehicles, the integration of complex electronic and software components has become paramount. However, this increased complexity brings new challenges in ensuring system safety, security, and life-cycle management. In this article, we focus on virtualisation (virt.), particularly containerisation (cont.), as a solution to mitigate integration stress in multi-node environments. We present a detailed review of the automotive constraints and ecosystem, along with the selection criteria for virt. technologies, justifying the scope of our study. Our main contribution is a two-phased evaluation of cont. tools. Firstly, we assess popular single-node container engines (Docker, Containerd, and Linux Containers LXC) based on CPU, RAM, and file I/O overhead over multiple hardware configurations. Secondly, we evaluate their multi-node scalability. The results show that Docker performs in average better than the other solutions for automotive on-board architectures.

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Software-Defined Networking with Prioritization for a Redundant Network Topology Called Double Wheel Topology

Savvidis,

Marrek,

Tutsch

2023

Lecture Notes in Networks and Systems

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A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks

Cited by 16 publications

References 19 publications

Imperative Node Evaluator With Self Replication Mode for Network Intrusion Detection

Imperative Node Evaluator With Self Replication Mode for Network Intrusion Detection

Can Software Containerisation Fit The Car On-Board Systems ?

Software-Defined Networking with Prioritization for a Redundant Network Topology Called Double Wheel Topology

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