Int. J. Wirel. Networks Broadband Technol.最新文献

Overload Detection and Energy Conserving Routing Protocol for Underwater Acoustic Communication 水声通信过载检测与节能路由协议

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2022-01-01 DOI: 10.4018/ijwnbt.304386

Manel Baba Ahmed

引用次数: 0

Wireless Interference Analysis for Home IoT Security Vulnerability Detection 基于无线干扰分析的家庭物联网安全漏洞检测

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2021-07-01 DOI: 10.4018/ijwnbt.2021070104

Alexander McDaid, Eoghan Furey, K. Curran

{"title":"Wireless Interference Analysis for Home IoT Security Vulnerability Detection","authors":"Alexander McDaid, Eoghan Furey, K. Curran","doi":"10.4018/ijwnbt.2021070104","DOIUrl":"https://doi.org/10.4018/ijwnbt.2021070104","url":null,"abstract":"The integrity of wireless networks that make up the clear majority of IoT networks lack the inherent security of their wired counterparts. With the growth of the internet of things (IoT) and its pervasive nature in the modern home environment, it has caused a spike in security concerns over how the network infrastructure handles, transmits, and stores data. New wireless attacks such as KeySniffer and other attacks of this type cannot be tracked by traditional solutions. Therefore, this study investigates if wireless spectrum frequency monitoring using interference analysis tools can aid in the monitoring of device signals within a home IoT network. This could be used enhance the security compliance guidelines set forth by OWASP and NIST for these network types and the devices associated. Active and passive network scanning tools are used to provide analysis of device vulnerability and as comparison for device discovery purposes. The work shows the advantages and disadvantages of this signal pattern testing technique compared to traditional network scanning methods. The authors demonstrate how RF spectrum analysis is an effective way of monitoring network traffic over the air waves but also possesses limitations in that knowledge is needed to decipher these patterns. This article demonstrates alternative methods of interference analysis detection.","PeriodicalId":422249,"journal":{"name":"Int. J. Wirel. Networks Broadband Technol.","volume":"75 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134101421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Detection of Virtual Private Network Traffic Using Machine Learning 利用机器学习检测虚拟专用网流量

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijwnbt.2020070104

Shane Miller, K. Curran, T. Lunney

{"title":"Detection of Virtual Private Network Traffic Using Machine Learning","authors":"Shane Miller, K. Curran, T. Lunney","doi":"10.4018/ijwnbt.2020070104","DOIUrl":"https://doi.org/10.4018/ijwnbt.2020070104","url":null,"abstract":"The detection of unauthorized users can be problematic for techniques that are available at present if the nefarious actors are using identity hiding tools such as anonymising proxies or virtual private networks (VPNs). This work presents computational models to address the limitations currently experienced in detecting VPN traffic. A model to detect usage of VPNs was developed using a multi-layered perceptron neural network that was trained using flow statistics data found in the transmission control protocol (TCP) header of captured network packets. Validation testing showed that the presented models are capable of classifying network traffic in a binary manner as direct (originating directly from a user's own device) or indirect (makes use of identity and location hiding features of VPNs) with high degrees of accuracy. The experiments conducted to classify OpenVPN usage found that the neural network was able to correctly identify the VPN traffic with an overall accuracy of 93.71%. The further work done to classify Stunnel OpenVPN usage found that the Neural Network was able to correctly identify VPN traffic with an overall accuracy of 97.82% accuracy when using 10-fold cross validation. This final experiment also provided an observation of 3 different validation techniques and the different accuracy results obtained. These results demonstrate a significant advancement in the detection of unauthorised user access with evidence showing that there could be further advances for research in this field particularly in the application of business security where the detection of VPN usage is important to an organization.","PeriodicalId":422249,"journal":{"name":"Int. J. Wirel. Networks Broadband Technol.","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131557498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A Resource-Efficient Approach on User Association in 5G Networks Using Downlink and Uplink Decoupling 基于上下行解耦的5G网络用户关联资源高效方法

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijwnbt.2020070103

C. Bouras, V. Kokkinos, Evangelos Michos

引用次数: 0

New Routing Technique to Enhance Energy Efficiency and Maximize Lifetime of the Network in WSNs 提高无线传感器网络能源效率和延长网络寿命的新路由技术

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijwnbt.2020070105

Nezha El Idrissi, A. Najid, H. E. Alami

引用次数: 14

A Binary Search Algorithm to Determine the Minimum Transmission Range for Minimum Connected Dominating Set of a Threshold Size in Ad Hoc Networks 一种确定Ad Hoc网络中最小连通支配集最小传输范围的二分搜索算法

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijwnbt.2020070101

N. Meghanathan

引用次数: 0

SORT: A System for Adaptive Transmission of Video Over Delay Tolerant Networks 在容忍延迟网络上自适应传输视频的系统

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijwnbt.20200701.oa2

A. Thakur

引用次数: 0

A Dynamic Model for Quality of Service Evaluation of Heterogeneous Networks 异构网络服务质量评价的动态模型

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijwnbt.2020070102

Farnaz Farid, S. Shahrestani, Chun Ruan

引用次数: 1

Enhanced Priority Load-Aware Scheduling Algorithm for Wireless Broadband Networks 无线宽带网络的增强优先级负载感知调度算法

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-03-10 DOI: 10.4018/ijwnbt.20200701.oa1

Aminu Mohammed, Abdulhakeem Abdulazeez, Ahmed Yusuf Tambuwal

引用次数: 1

Automation of Detection and Fault Management Response of Common Last-Mile Loss-Of-Connectivity Outages Within the Access Network 接入网中常见最后一英里断连故障检测与故障管理响应的自动化

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2020-01-01 DOI: 10.4018/ijwnbt.2020010101

Alban Scribbins, K. Curran

{"title":"Automation of Detection and Fault Management Response of Common Last-Mile Loss-Of-Connectivity Outages Within the Access Network","authors":"Alban Scribbins, K. Curran","doi":"10.4018/ijwnbt.2020010101","DOIUrl":"https://doi.org/10.4018/ijwnbt.2020010101","url":null,"abstract":"The article to assesses whether it may be possible to recommend a solution to enable automation of the process of detection and fault management of common conclusive loss-of-connectivity last-mile outages, within the access network. To ascertain the utility of the research, UK based MPLS VPN managed service providers, their fault management staff and their business customers, were surveyed using online questionnaires for their views. UK public Internet users were additionally surveyed via five UK Internet forums. UK communication providers offering MPLS VPN solutions were characterised. Access network connectivity technologies and fault management functions were compared, contrasted and analysed. An aspiration for the solution to be beneficial to the largest potential population, meant that current non-proprietary Internet Standard technologies were selected, justified and identified which could be recommended for use. It was found that of the participating survey respondents, two-thirds were in favour of automation. Many current communication provider processes were found to be mostly automated. The article concludes with recommendations of how an automated solution could potentially be enabled. This involves further use of business-to-business interfacing between communication providers, automation of their Fault Management Systems and introducing Bi-Directional forwarding for detection between last-mile active network elements.","PeriodicalId":422249,"journal":{"name":"Int. J. Wirel. Networks Broadband Technol.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133621232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1