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International Journal of Communication Networks and Distributed Systems最新文献

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Cloud-Based Service Oriented Architecture for Social Vehicular Ad-hoc Network Communications 基于云的面向服务的社会车辆自组织网络通信体系结构
IF 1.3 Q3 Computer Science Pub Date : 2020-01-21 DOI: 10.1504/IJCNDS.2020.10016956
Muhammad Arif, Guojun Wang
This article offers a social networking platform for vehicles, based on cloud computing and service oriented architecture called CSS-IoV for communication and collaboration of vehicle to vehicle (V2V), and vehicle to infrastructure (V2I). CSS-IoV contains five layers: application layer, application service layer, services layer, cloud infrastructure layer, and layer of vehicles. The application layer operation is associated with the functionality of on-board units (OBUs) and road-side units (RSUs). The service layer runs on a service-oriented architecture (SOA) and cloud application services to improve applications. To expand and combine web services on this layer, the application developer and builders can effectively develop the new functions and programs for communication. With the support of dynamic and automated service collaboration, people can easily help and communicate with each other by using OBUs. Our results shows that the proposed scheme provide the best results in terms of both type of communication in VANETs.
本文提供了一个基于云计算和面向服务架构的汽车社交网络平台,称为CSS-IoV,用于车对车(V2V)和车对基础设施(V2I)的通信和协作。CSS IoV包含五层:应用层、应用服务层、服务层、云基础设施层和车辆层。应用层操作与车载单元(OBU)和路边单元(RSU)的功能相关。服务层运行在面向服务的体系结构(SOA)和云应用程序服务上,以改进应用程序。为了在这一层上扩展和组合web服务,应用程序开发人员和构建人员可以有效地开发用于通信的新功能和程序。在动态和自动化服务协作的支持下,人们可以通过使用OBU轻松地相互帮助和沟通。我们的结果表明,所提出的方案在VANET中的两种类型的通信方面都提供了最好的结果。
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引用次数: 7
PREDICTION BASED ENERGY EFFICIENT OPPORTUNISTIC ROUTING PROTOCOL IN WIRELESS SENSOR NETWORKS 基于预测的无线传感器网络节能机会路由协议
IF 1.3 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1504/ijcnds.2020.10028899
S. Nagadivya, R. Manoharan
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引用次数: 1
Spectrum occupancy based PUEA detection using SVM- PSO in Cognitive Networks 认知网络中基于频谱占用的支持向量机-粒子群算法PUEA检测
IF 1.3 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1504/ijcnds.2020.10027341
M. Rajagopala, S. C. Lingareddy
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引用次数: 1
Analysis of New Multi-priority NP-CSMA Random Multiple Access Ad Hoc Network in MAC Protocol Analysis MAC协议分析中新型多优先级NP-CSMA随机多址自组网分析
IF 1.3 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1504/ijcnds.2020.10024380
Qianlin Liu, Zhijun Yang, Liyong Bao, H. Ding, Zejun Han
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引用次数: 0
An online routing algorithm for space division multiplexing-based elastic optical networks 一种基于空分复用的弹性光网络在线路由算法
IF 1.3 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1504/IJCNDS.2020.104747
IyerSridhar
We focus on the optimisation of lightpath routing in an online space division multiplexing-based elastic optical network (SDM-b-EON). We propose a new online routing algorithm, named as online rout...
我们重点研究了基于在线空分复用的弹性光网络(SDM-b-EON)的光路路由优化。我们提出了一种新的在线路由算法,称为在线路由算法。
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引用次数: 0
An efficient scheme for detecting and isolating gray-hole attacks in AODV based mobile ad hoc networks 一种基于AODV的移动自组网灰洞攻击检测与隔离的有效方案
IF 1.3 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1504/IJCNDS.2020.10019806
Aneeka Azmat, M. S. Pathan, Jingsha He, Nafei Zhu, Zulfiqar Ali Zardari, Muhammad Qasim Memon
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引用次数: 0
A Topic-based Synchronization (TBS) Protocol in Peer-to-Peer Publish/Subscribe Systems 对等发布/订阅系统中基于主题的同步(TBS)协议
IF 1.3 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1504/IJCNDS.2020.10021260
Shigenari Nakamura, M. Takizawa, T. Enokido
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引用次数: 0
A Hybrid Behavioural Based Cyber Intrusion Detection System 一种基于混合行为的网络入侵检测系统
IF 1.3 Q3 Computer Science Pub Date : 2019-09-20 DOI: 10.1504/IJCNDS.2019.10020192
Alemtsehay Adhanom, H. M. Melaku
The experience of deploying intrusion detection system (IDS) for securing computer system is being matured. There are knowledge-based (misuse) and anomaly IDS. In knowledge-based IDS, prior knowledge of the attack is needed for detection and during anomaly, behaviour of normal data is studied, when new data is arrived and there is a deviation, it is considered as an attack. In this thesis, we present a hybrid intrusion detection system called behavioural-based cyber intrusion detection system, based on two data mining algorithms, decision tree and association rule mining. The decision tree algorithm is used to detect misuse intrusions but it considers new attacks as normal. Association rule mining works by using the normal output of decision tree as input for further detection. Further, we implement the proposed model using java programming language. We have used a reduced and enhanced non-redundant NSL_KDD dataset for training and testing. Evaluation results show that it provides improved detection rate and lower false alarm rates.
利用入侵检测系统(IDS)保护计算机系统安全的经验日益成熟。IDS有基于知识的(误用的)和异常的。在基于知识的入侵检测中,需要对攻击的先验知识进行检测,在异常期间,研究正常数据的行为,当新数据到达并且存在偏差时,将其视为攻击。本文提出了一种基于决策树和关联规则挖掘两种数据挖掘算法的混合入侵检测系统——基于行为的网络入侵检测系统。决策树算法用于检测误用入侵,但它认为新的攻击是正常的。关联规则挖掘通过使用决策树的正常输出作为进一步检测的输入来工作。此外,我们使用java编程语言实现了所提出的模型。我们使用了一个简化和增强的非冗余NSL_KDD数据集进行训练和测试。评价结果表明,该方法提高了检测率,降低了虚警率。
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引用次数: 1
Enhanced Heterogeneous Cross-Layer Protocol for Wireless Sensor Networks 无线传感器网络的增强异构跨层协议
IF 1.3 Q3 Computer Science Pub Date : 2019-09-15 DOI: 10.30534/ijns/2019/01852019
H AdarshaSagar, Govt Sksjti Bangalore India Vtu
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引用次数: 0
IOT based Wireless Sensor Network for Retracing the parked Vehicle 基于物联网的无线传感器网络,用于追踪停放车辆
IF 1.3 Q3 Computer Science Pub Date : 2019-07-15 DOI: 10.30534/IJNS/2019/01842019
Swathi Sadasivan
It is expected to be in the next 100 years, world’s maximum population is going to be living in cities. Hence the usage of vehicle and its related services will be crucial. As the number of vehicles increases, parking of the vehicle in cities are going to be challenging issue, especially in terms of pollution and maintaining the eco system of the area. Many people are not interested to use traditional or automated parking area because of the difficulty they face during the usage. Even people find it difficult to trace the return path to their own vehicle. The larger number of smart car parking systems is implemented in various countries which normally solve the problem of parking space and effective utilization of utilities. But in a highly populated area safety of the people in a parking slot and retracing of the vehicle is going to be very challenging due to its nature of heterogeneous people and variety of vehicles. An IOT enabled Sensor network based Advanced parking space with camera and audio sensors will be able to collect large amount of data which can be utilized to generate interesting pattern using suitable machine learning algorithm. As the environment is complex and heterogeneous; a better optimization always will be able to provide improved safety to the people as well as vehicle in the area.
预计在未来100年内,世界上最多的人口将居住在城市。因此,车辆及其相关服务的使用将至关重要。随着车辆数量的增加,在城市停车将是一个具有挑战性的问题,特别是在污染和维护该地区的生态系统方面。由于在使用过程中遇到的困难,许多人对使用传统或自动化停车场不感兴趣。甚至人们也很难找到返回自己车辆的路径。智能停车系统在世界各国得到了广泛的应用,解决了停车空间和公用事业的有效利用问题。但在人口密集的地区,由于人群和车辆的多样性,停车位上人员的安全以及车辆的回溯将是非常具有挑战性的。基于物联网传感器网络的高级停车位,配备摄像头和音频传感器,将能够收集大量数据,这些数据可用于使用合适的机器学习算法生成有趣的模式。由于环境是复杂和异质的;更好的优化总是能够为该地区的人员和车辆提供更好的安全性。
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引用次数: 0
期刊
International Journal of Communication Networks and Distributed Systems
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