2012 Fourth International Conference on Multimedia Information Networking and Security最新文献_第10页

An Emperical Traffic Model of M2M Mobile Streaming Services M2M移动流媒体服务流量的实证模型

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.60

R. Liu, D. Rao, Zhenglei Huang, D. Yang

{"title":"An Emperical Traffic Model of M2M Mobile Streaming Services","authors":"R. Liu, D. Rao, Zhenglei Huang, D. Yang","doi":"10.1109/MINES.2012.60","DOIUrl":"https://doi.org/10.1109/MINES.2012.60","url":null,"abstract":"M2M video streaming service has been widely used. In order to evaluate the impact of the uplink traffic caused by M2M video streaming on the mobile network, it is necessary to establish the traffic model of the M2M mobile video services. There are two main types of traffic models in the existing video traffic model. The traffic model based on the self-similarity of video streaming is too complex to be simulate. The traffic model based on probability density did not consider the frame size of MPEG-4 videos. This paper selected several distributions with heavy-tail to fit several video sources. The video sources are selected according to the requirements of the M2M service aspects and the limitation of the mobile network resources. The distributions include Gamma distribution, Pareto distribution, lognormal distribution and Weibull distribution. After comparing the fitness figure, fitness figure deference ratio, mean frame size similarity, we find that lognormal distribution is able to reflect the characteristic of the video source frame size. Further, based on the analysis on the mean bit rate and frame rate, considering the recommendation of bandwidth for video from 3GPP, the frame rate of the traffic model is given in the paper. In summary, a traffic model including frame size and frame rate is presented in the paper. Fitting results show that the distribution presented in the paper is 0.07%~2% degree better than the distribution presented in 3GPP specification. The mean frame size of the model is 99% similar to the mean frame size of the video source. Further, the distribution used in traffic model is a commonly used mathematical distribution in major of simulation software.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"126 38","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114053240","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: 3

A Motif-Based Framework for Characterizing the Evolution of Social Networks 基于母题的社会网络演化表征框架

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.32

Leiming Yan, Jinwei Wang

引用次数: 2

A Smoke Detection Algorithm Based on Discrete Wavelet Transform and Correlation Analysis 基于离散小波变换和相关分析的烟雾检测算法

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.46

Wu Meng-Yu, Han Ning, Luo Qin-Juan

引用次数: 10

Formal Analysis of a Response Mechanism for TCG TOCTOU Attacks TCG TOCTOU攻击响应机制的形式化分析

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.116

Xiaolin Chang, Bin Xing, Ying Qin

引用次数: 1

Which Feature is Better? TF*IDF Feature or Topic Feature in Text Clustering 哪个功能更好?文本聚类中的TF*IDF特征或主题特征

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.249

Xiahui Pan, Jiajun Cheng, Youqing Xia, Xin Zhang, Hui Wang

引用次数: 4

Research on the Expert System of Maritime Solid Bulk Cargoes Safety Management Based on the Web 基于Web的海上固体散货安全管理专家系统研究

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.188

Qiang Zhang, Xuehai Wei

引用次数: 2

The Evaluation of Bilingual Education in Colleges and Universities from a New Perspective 新视角下的高校双语教育评价

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.223

Chen Lv, Hong-yu Liu, Yi-yan Li, Nan Li, Yanez Lv

引用次数: 1

A Method Based on Feature Matching to Identify Steganography Software 基于特征匹配的隐写软件识别方法

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.26

Yongzhen Zheng, Fenlin Liu, Xiangyang Luo, Chunfang Yang

{"title":"A Method Based on Feature Matching to Identify Steganography Software","authors":"Yongzhen Zheng, Fenlin Liu, Xiangyang Luo, Chunfang Yang","doi":"10.1109/MINES.2012.26","DOIUrl":"https://doi.org/10.1109/MINES.2012.26","url":null,"abstract":"Reliable identification of steganography software is an important research direction of steganography forensics, how to identify the steganography software based on the characteristics of steganography algorithm is the difficulty in the research of identifying the steganography software. In this paper, based on the principles of LSB Steganography algorithm (include LSB Replacement and LSB Matching), we propose an approach to identify steganography software by Feature Matching. First, we take the process of change operations to the pixels in the LSB steganography algorithm as Core Instructions which are taken as the feature of the software, and we have analyzed the implementation of Core Instructions in a variety of typical steganography software based on LSB Steganography algorithm, then build the corresponding feature for each of implementations. And then we would determine whether the software is a LSB steganography software according to the existence of codes matched with the feature. The experimental results show that the method in this paper can reliably identify a variety of common steganography software based on LSB Steganography algorithm.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132762888","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: 14

A Mobile Communication Honeypot Observing System 移动通信蜜罐观测系统

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.31

Yubo Song, Xiaoyun Zhu, Yelin Hong, Haoyue Zhang, Hangbo Tan

{"title":"A Mobile Communication Honeypot Observing System","authors":"Yubo Song, Xiaoyun Zhu, Yelin Hong, Haoyue Zhang, Hangbo Tan","doi":"10.1109/MINES.2012.31","DOIUrl":"https://doi.org/10.1109/MINES.2012.31","url":null,"abstract":"We innovatively propose a honeypot monitoring system for mobile communication to decrease the possibility of smart phones being attacked by viruses. The system applies the idea of active honeypot theory and combines with communication protection. We initially clarify the high safety protection performance of our honeypot monitoring system in the following steps: we simulates the wireless access environment and then capture the mobile phones; after that, our system can search for potential attacks, as well as analyze and monitor their communication behaviors. We discuss the feasibility and efficiency of our system by testing an Android smart phone which carries a malware that can embezzle the phone's address book. After initially triggering the malware, we use our honeypot system to show the monitoring result. Our honeypot monitoring system for mobile communication, which is mainly applied in radio link safety protection, can effectively find potential hazards and optimize protective environment. Our system will play an important role in various aspects such as commercial activities promotion and personal information protection.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116101762","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: 14

TransSec: Security Image Transportation in Visual Sensor Networks TransSec:视觉传感器网络中的安全图像传输

2012 Fourth International Conference on Multimedia Information Networking and Security Pub Date : 2012-11-02 DOI: 10.1109/MINES.2012.241

Songtao Ye, Junfei Liu, Jin Zhang

引用次数: 0