Journal of Network and Systems Management最新文献_第3页

Enhanced Malicious Traffic Detection in Encrypted Communication Using TLS Features and a Multi-class Classifier Ensemble 利用 TLS 特征和多类分类器组合加强加密通信中的恶意流量检测

IF 4.1 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-10 DOI: 10.1007/s10922-024-09847-3

Cheemaladinne Kondaiah, A. R. Pais, Routhu Srinivasa Rao

引用次数: 0

Performance of Massive MIMO Aided by Reflective Intelligent Surfaces 反射式智能表面辅助下的大规模多输入多输出性能

IF 4.1 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-09 DOI: 10.1007/s10922-024-09846-4

Andre Flaiban, Taufik Abrão

引用次数: 0

On the Deployment Problem of Multiple Drones in Millimeter Wave Systems 论毫米波系统中多架无人机的部署问题

IF 4.1 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-08 DOI: 10.1007/s10922-024-09849-1

Hazim Shakhatreh, Wa’ed Al-Dagamseh, Samah Albasheer, Khaled Bani-Hani, Khaled Hayajneh

引用次数: 0

Modeling and Controller Design of a Cloud-Based Control Switching System in an Uncertain Network Environment 不确定网络环境下基于云的控制交换系统建模与控制器设计

IF 4.1 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-08 DOI: 10.1007/s10922-024-09850-8

Shuyu Lyu, Xinfa Dai, Zhong Ma, Yi Gao, Zhekun Hu

引用次数: 0

A Comprehensive Review of Recent Developments in VANET for Traffic, Safety & Remote Monitoring Applications 交通、安全和远程监控应用中的 VANET 最新发展综述

IF 4.1 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-08 DOI: 10.1007/s10922-024-09853-5

Arijit Dutta, Luis Miguel Samaniego Campoverde, M. Tropea, F. De Rango

引用次数: 0

Overcoming Real-World IoT Deployment Challenges with Enhanced Fuzzy Logic Decision Algorithms 利用增强型模糊逻辑决策算法克服现实世界中物联网部署的挑战

IF 3.6 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-07 DOI: 10.1007/s10922-024-09851-7

Amir Bannoura, Hamid Chekenbah, Frank Meyer, Suhail Odeh, Rafik Lasri

{"title":"Overcoming Real-World IoT Deployment Challenges with Enhanced Fuzzy Logic Decision Algorithms","authors":"Amir Bannoura, Hamid Chekenbah, Frank Meyer, Suhail Odeh, Rafik Lasri","doi":"10.1007/s10922-024-09851-7","DOIUrl":"https://doi.org/10.1007/s10922-024-09851-7","url":null,"abstract":"The rapid growth of Internet of Things (IoT) technologies led to an increase in the demand of connected devices around the world. Today, these devices are integrated in several applications and solutions. Therefore, providing a smooth and simple approach for their integration is essential to extend their popularity and wide adaptation. However, there is a high level of complexity to be considered especially when it comes to wireless communication and deployment to the field. These devices are deployed part of wireless sensor networks, which increase the complexity of their operation and integration. In this paper, we focus on the integration of IoT devices in wireless networks for smart home applications. We present an overview of the challenges in designing and developing the firmware. As well, we suggest several testing use-cases to verify that the firmware we are deploying is stable and ready to be introduced to the market. Also, we consider some diagnostic metrics to identify the issues that could degrade the functionality of the devices. Finally, we propose an algorithmic approach based on Fuzzy Logic to improve the integration of IoT devices into the wireless sensor networks using intelligent decision-making techniques to mitigate the challenges and deployment limitations.","PeriodicalId":50119,"journal":{"name":"Journal of Network and Systems Management","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141936986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Resource-Efficient DDoS Detection in IoT: Leveraging Feature Engineering of System and Network Usage Metrics 在物联网中实现资源高效的 DDoS 检测：利用系统和网络使用指标的特征工程

IF 3.6 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-08-02 DOI: 10.1007/s10922-024-09848-2

Nikola Gavric, Guru Prasad Bhandari, Andrii Shalaginov

{"title":"Towards Resource-Efficient DDoS Detection in IoT: Leveraging Feature Engineering of System and Network Usage Metrics","authors":"Nikola Gavric, Guru Prasad Bhandari, Andrii Shalaginov","doi":"10.1007/s10922-024-09848-2","DOIUrl":"https://doi.org/10.1007/s10922-024-09848-2","url":null,"abstract":"The Internet of Things (IoT) is omnipresent, exposing a large number of devices that often lack security controls to the public Internet. In the modern world, many everyday processes depend on these devices, and their service outage could lead to catastrophic consequences. There are many Deep Packet Inspection (DPI) based intrusion detection systems (IDS). However, their linear computational complexity induced by the event-driven nature poses a power-demanding obstacle in resource-constrained IoT environments. In this paper, we shift away from the traditional IDS as we introduce a novel and lightweight framework, relying on a time-driven algorithm to detect Distributed Denial of Service (DDoS) attacks by employing Machine Learning (ML) algorithms leveraging the newly engineered features containing system and network utilization information. These features are periodically generated, and there are only ten of them, resulting in a low and constant algorithmic complexity. Moreover, we leverage IoT-specific patterns to detect malicious traffic as we argue that each Denial of Service (DoS) attack leaves a unique fingerprint in the proposed set of features. We construct a dataset by launching some of the most prevalent DoS attacks against an IoT device, and we demonstrate the effectiveness of our approach with high accuracy. The results show that standalone IoT devices can detect and classify DoS and, therefore, arguably, DDoS attacks against them at a low computational cost with a deterministic delay.","PeriodicalId":50119,"journal":{"name":"Journal of Network and Systems Management","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141882802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Keeping Verticals’ Sovereignty During Application Migration in Continuum 在应用程序连续迁移过程中保持垂直行业的主权

IF 3.6 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-07-31 DOI: 10.1007/s10922-024-09843-7

Zbigniew Kotulski, Tomasz Nowak, Mariusz Sepczuk, Krzysztof Bocianiak, Tomasz Pawlikowski, Aleksandra Podlasek, Jean-Philippe Wary

引用次数: 0

SDBlock-IoT: A Blockchain-Enabled Software-Defined Multicontroller Architecture to Safeguard OpenFlow Tables SDBlock-IoT：保护 OpenFlow 表的区块链软件定义多控制器架构

IF 3.6 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-07-30 DOI: 10.1007/s10922-024-09844-6

Birglang Bargayary, Nabajyoti Medhi

{"title":"SDBlock-IoT: A Blockchain-Enabled Software-Defined Multicontroller Architecture to Safeguard OpenFlow Tables","authors":"Birglang Bargayary, Nabajyoti Medhi","doi":"10.1007/s10922-024-09844-6","DOIUrl":"https://doi.org/10.1007/s10922-024-09844-6","url":null,"abstract":"Integrating Software-Defined Networking (SDN) with the Internet of Things (IoT) simplifies the management of IoT devices; however, it introduces security challenges. Adversaries may manipulate forwarding rules to redirect communication, compromising user security. Additionally, the centralized nature of SDN-enabled IoT networks poses a single point of failure during master controller failure. To address these issues, we present SDBlock-IoT, a distributed SDN architecture based on blockchain technology. This ensures increased resiliency in the event of master controller failure. Our proposed model considers response time and resource utilization of equal controllers, ensuring the most suitable controller assumes the role of master controller. We enhance the integrity of OpenFlow forwarding rules through the Smart Agent and SC, which validate whether a flow is registered on the blockchain or not. The Smart Agent verifies forwarding rules for every new flow request. We conducted experiments on hardware SDN switches using a Ryu OpenFlow controller and a private blockchain, demonstrating the effectiveness of our approach. Evaluation results indicate that SDBlock-IoT outperforms existing solutions in terms of flow verification time, controller recovery time, CPU utilization, and transaction costs.","PeriodicalId":50119,"journal":{"name":"Journal of Network and Systems Management","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

End-to-End No-wait Scheduling for Time-Triggered Streams in Mixed Wired-Wireless Networks 有线-无线混合网络中时间触发流的端到端无等待调度

IF 3.6 3区计算机科学

Journal of Network and Systems Management Pub Date : 2024-07-08 DOI: 10.1007/s10922-024-09837-5

Gourav Prateek Sharma, Wouter Tavernier, Didier Colle, Mario Pickavet, Jetmir Haxhibeqiri, Jeroen Hoebeke, Ingrid Moerman

{"title":"End-to-End No-wait Scheduling for Time-Triggered Streams in Mixed Wired-Wireless Networks","authors":"Gourav Prateek Sharma, Wouter Tavernier, Didier Colle, Mario Pickavet, Jetmir Haxhibeqiri, Jeroen Hoebeke, Ingrid Moerman","doi":"10.1007/s10922-024-09837-5","DOIUrl":"https://doi.org/10.1007/s10922-024-09837-5","url":null,"abstract":"Proprietary communication technologies for time-critical communication in industrial environments are being gradually replaced by Time-sensitive Networking (TSN)-enabled Ethernet. Furthermore, attempts have been made to bring TSN features into wireless networks so that the flexibility of wireless networks can be utilized, and the end-to-end timings for Time-Triggered (TT) streams can be guaranteed. Given a mixed wired-wireless network, the scheduling problem should be solved for a set of TT stream requests. In this paper, we formulate the no-wait scheduling problem for mixed wired-wireless networks as a Mixed Integer Linear Programming (MILP) model with the objective of minimizing the flowspan. We also propose a relaxation of the original MILP in the form of a 2-stage MILP formulation. Next, a scalable approach based on the greedy heuristic is proposed to solve the problem for realistic-size networks. Evaluation results show that the greedy heuristic is suitable for realistic problem sizes where the MILP-based approach is found to be practically infeasible. Furthermore, the impact of wireless requests on the performance of the greedy heuristic is reported.","PeriodicalId":50119,"journal":{"name":"Journal of Network and Systems Management","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0