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Detecting VoIP Traffic Based on Human Conversation Patterns [chapter]

Chen-Chi Wu, Kuan-Ta Chen, Yu-Chun Chang, Chin-Laung Lei
2008 Lecture Notes in Computer Science  
Hence, the scheme can operate as a traffic management module to provide QoS guarantees or block VoIP calls in real time.  ...  The performance evaluation, which is based on extensive real-life traffic traces, shows that the proposed method achieves an identification accuracy of 95% in the first 4 seconds of the detection period  ...  They do not consider online traffic identification, which is essential for real-time traffic management.  ... 
doi:10.1007/978-3-540-89054-6_14 fatcat:3osq3kpiu5eibfzqe6oxhhcuty

Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology

Hasan Omar
2015 International Journal of Advanced Computer Science and Applications  
Some of the traffic concerns are congestions and accidents which have caused a huge waste of time, property damage and environmental pollution.  ...  This research presents an overview of a framework distributed traffic simulation model within NetLogo, an agentbased environment, for IoT traffic monitoring system using mobile agent technology.  ...  Based on detailed real-time data collected from the distributed online simulations, the IoT traffic system can provide accurate information necessary for near real-time traffic decisions.  ... 
doi:10.14569/ijacsa.2015.060206 fatcat:jrmlhnf4ljbcndkqgjnhxgxp3i

The Research on Fatigue Driving Detection Algorithm

Zhui Lin, Lide Wang, Jieqiong Zhou, Tao Wang
2013 Journal of Software  
Experimental results show that the algorithm has high recognition accuracy and robust performance under real train driving environment, in the case of nonlinear tracking of the human eye, illumination  ...  Third, We propose a compressed sample tracking algorithm, which compress samples of image using the sparse measurement matrix and train the classification online.  ...  We express special thanks to the people who have spent their time in helping us to get important experimental data.  ... 
doi:10.4304/jsw.8.9.2272-2279 fatcat:72tb7uvpezeudlvqr73qsl5bta

Fingerprinting Network Entities Based on Traffic Analysis in High-Speed Network Environment

Xiaodan Gu, Ming Yang, Yiting Zhang, Peilong Pan, Zhen Ling
2018 Security and Communication Networks  
In order to realize entities identification in high-speed network environment, PFQ kernel module and Storm are used for high-speed packet capture and online traffic analysis, respectively.  ...  On this basis, a novel device fingerprinting technology based on runtime environment analysis is proposed, which employs logistic regression to implement online identification with a sliding window mechanism  ...  In the online identification stage, distributed analysis and feature extraction are performed on the real-time traffic.  ... 
doi:10.1155/2018/6124160 fatcat:arhtyrzrmzbgzb3m2fm6rtiggi

A green wireless sensor network for environmental monitoring and risk identification

Patricia Morreale, Feng Qi, Paul Croft
2011 International Journal of Sensor Networks (IJSNet)  
The sensor network applications provide an outstanding representation of green networking, as sparse but sufficient environmental monitoring accompanied by real time data analysis and historical pattern  ...  This sensor network composed of Crossbow sensors aggregates and reconciles gathered information for environmental monitoring and risk identification.  ...  An online mapping site was established to provide public access to the base layers as well as environmental monitoring results, as would be expected in real-time applications for practical use, and in  ... 
doi:10.1504/ijsnet.2011.040905 fatcat:min5m7u5xvdevacmtbrxfjujmm

A probabilistic risk assessment framework considering lane-changing behavior interaction

Heye Huang, Jianqiang Wang, Cong Fei, Xunjia Zheng, Yibin Yang, Jinxin Liu, Xiangbin Wu, Qing Xu
2020 Science China Information Sciences  
The unified model can quantify the driving risks by systematically modeling the coupling relationship of traffic system, but limit in evaluating the traffic elements in the current environment without  ...  For example, in a typical but challenging lane-changing scenario, an intelligent vehicle can assess its driving status by calculating a risk map in real time that represents the risk generated by the estimated  ...  Color online) The confusion matrix of intention identification. Figure 6 ( 6 Color online) Elliptic constraint effect of road marking on traffic risk.  ... 
doi:10.1007/s11432-019-2983-0 fatcat:x6j4enczenh35p3coq43eh2c6a

Thwarting Wi-Fi Side-Channel Analysis through Traffic Demultiplexing

Fan Zhang, Wenbo He, Yangyi Chen, Zhou Li, XiaoFeng Wang, Shuo Chen, Xue Liu
2014 IEEE Transactions on Wireless Communications  
We implemented our technique over Multiband Atheros Driver for Wi-Fi (MadWifi) and evaluated it in real WLAN environments.  ...  Just through the analysis on traffic characteristics, for example, adversaries can identify online activities (e.g., web-browsing, chatting, online gaming, online video, and downloading) [7-9], then infer  ...  We evaluated traffic demultiplexing in real WLAN environments under different traffic analysis attacks.  ... 
doi:10.1109/twc.2013.121013.121473 fatcat:u7pjtphj2vfm5pnvetikozperq

Challenges of Information and Communication Technologies Usage in E-Business Systems [chapter]

Marko Periša, Ivan Cvitić, Peter Kolarovszki
2017 E-Business - State of the Art of ICT Based Challenges and Solutions  
The mentioned group contains information and communication technologies such as radio-frequency identification (RFID), real-time location systems (RTLS), near field communication (NFC), global positioning  ...  environment.  ...  and real-time information to the end user.  ... 
doi:10.5772/66329 fatcat:nfj3mdtwujgcjal3gkadk7tvbu

Velocity Prediction Based on Vehicle Lateral Risk Assessment and Traffic Flow: A Brief Review and Application Examples

Lin Li, Serdar Coskun, Jiaze Wang, Youming Fan, Fengqi Zhang, Reza Langari
2021 Energies  
In this brief, a review of existing velocity prediction techniques is studied from the perspective of traffic flow and vehicle lateral dynamics for the first time.  ...  Secondly, vehicle speed prediction methods for NEVs are given where an extensive discussion on traffic flow model classification based on traffic big data and artificial intelligence is carried out.  ...  relationship that appears in the macro traffic flow model but depends on real-time data flow.  ... 
doi:10.3390/en14123431 fatcat:gif2xddt35ctbdg2yuuiqbrfey

Object Detection of Road Facilities Using YOLOv3 for High-definition Map Updates

Tae-Young Lee, Myeong-Hun Jeong, Almirah Peter
2022 Sensors and materials  
To test the effectiveness of the detection method, we analyze video footage captured in the Korean road environment.  ...  Notably, the You Only Look Once version 3 (YOLOv3) algorithm was utilized via transfer learning to detect traffic signs, road signs, and traffic lights in a video featuring a road environment in real time  ...  to complete HD maps, updates to reflect volatile road conditions in real time are necessary to ensure safety during autonomous driving.  ... 
doi:10.18494/sam3732 fatcat:eqfra3xwdfahvpftwnytacr2fy

Model of guidance for visually impaired persons in the traffic network

Dragan Peraković, Marko Periša, Vladimir Remenar
2015 Transportation Research Part F: Traffic Psychology and Behaviour  
The model was efficiency tested on a real system of the traffic network of the City of Zagreb.  ...  The traffic intersections were analysed from the viewpoint of difficult-to-master for independent movement by using the basic methods of crossing a traffic intersection which the users acquire at the training  ...  The environment at the time of arrival to the starting point of crossing is important in the user's perception of the traffic intersection (3a).  ... 
doi:10.1016/j.trf.2015.03.007 fatcat:w64stfzyvzd3vb3bdh3emxrz3m

Study on the Intelligent Campus System of the Internet of Things

WEN-JIE CHEN, HAI-FENG LI
2020 DEStech Transactions on Social Science Education and Human Science  
The application of Internet of things technology in "Digital Campus" and "smart campus" provides teachers and students with a more comprehensive intelligent environment and integrated information service  ...  then introduces the definition and application of Internet of things, consider the connection between Internet of things and smart campus, introduces the shortcomings of traditional campus, at the same time  ...  for incubation environment correction, real-time recording of image data.  ... 
doi:10.12783/dtssehs/icesd2020/34115 fatcat:ideekvtcrnfkdctipr5cvltklm

Online hybrid traffic classifier for Peer-to-Peer systems based on network processors

Zhenxiang Chen, Bo Yang, Yuehui Chen, Ajith Abraham, Crina Grosan, Lizhi Peng
2009 Applied Soft Computing  
In reality, the offline classification is not helpful for detecting or managing online traffic.  ...  This paper proposes a NPs-based online hybrid traffic classifier to identify active P2P traffic. The NPs-based Applied Soft Computing 9 (2009) 685-694  ...  Especially, other online hybrid approaches were used to system identification [35] ,network traffic classification [29, 36] and data mining of data streams [32, 34] ,which promote the online network  ... 
doi:10.1016/j.asoc.2008.09.010 fatcat:jzy426xgmjhrngnaqz3qy6ogpa

Weigh-in-Motion: Lightweight Real-Time Identification of Gbps Wireless Traffic

Sungsoo Kim, Joon Yoo, Jaehyuk Choi
2022 Sensors  
The majority of existing approaches have exploited the greater delay statistics, such as round-trip-time and inter-packet arrival time, observed in wireless traffic to infer whether the traffic is originated  ...  We present Weigh-in-Motion, a lightweight online detection scheme, that analyzes the traffic patterns observed at the middleboxes and infers whether the traffic is originated from high-speed Wi-Fi devices  ...  Evaluation Results It is important for our proposed approach to be not limited to a specific environment, but operate with high accuracy in a real world where there are various environmental variables  ... 
doi:10.3390/s22020437 pmid:35062397 pmcid:PMC8781099 fatcat:rfgpyi7stff5xlzg6jnhxz57ei

Use of SPAN for Identified Network Traffic via Machine Learning

Akifa Abbas, Danish Ali, Sidra Noureen, Rehmatullah
2019 Lahore Garrison University research journal of computer science and information technology  
Many Supervised learning methods were examined during experiment and were referenced on data collected by real time traffic.  ...  paper will elaborate the methods to identify the network traffic identification under encryption.  ...  Many Supervised learning methods were examined during experiment and were referenced on data collected by real time traffic.  ... 
doi:10.54692/lgurjcsit.2019.030276 fatcat:3mim2lsqfbftldje4u7u5uchfe
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