International Conference on Network, Communication and Computing最新文献_第3页

Using Bi-level Penalized Logistic Classifier to Detect Zombie Accounts in Online Social Networks 基于双层惩罚逻辑分类器的在线社交网络僵尸账户检测

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033349

Jing Deng, Xiaoli Gao, Chunyue Wang

{"title":"Using Bi-level Penalized Logistic Classifier to Detect Zombie Accounts in Online Social Networks","authors":"Jing Deng, Xiaoli Gao, Chunyue Wang","doi":"10.1145/3033288.3033349","DOIUrl":"https://doi.org/10.1145/3033288.3033349","url":null,"abstract":"The huge popularity of online social networks and the potential financial gain have led to the creation and proliferation of zombie accounts, i.e., fake user accounts. For considerable amount of payment, zombie accounts can be directed by their managers to provide pre-arranged biased reactions to different social events or the quality of a commercial product. It is thus critical to detect and screen these accounts. Prior arts are either inaccurate or relying heavily on complex posting/tweeting behaviors in the classification process of normal/zombie accounts. In this work, we propose to use a bi-level penalized logistic classifier, an efficient high-dimensional data analysis technique, to detect zombie accounts based on their publicly available profile information and the statistics of their followers' registration locations. Our approach, termed (B)i-level (P)enalized (LO)gistic (C)lassifier (BPLOC), is data adaptive and can be extended to mount more accurate detections. Our experimental results are based on a small number of SINA WeiBo accounts and have demonstrated that BPLOC can classify zombie accounts accurately.","PeriodicalId":253625,"journal":{"name":"International Conference on Network, Communication and Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126942467","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

Motion Image De-blurring System Based on the Effectiveness Parameters of Point Spread Function 基于点扩散函数有效性参数的运动图像去模糊系统

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033308

Chu-Hui Lee, Zhi-Yong Qiu

{"title":"Motion Image De-blurring System Based on the Effectiveness Parameters of Point Spread Function","authors":"Chu-Hui Lee, Zhi-Yong Qiu","doi":"10.1145/3033288.3033308","DOIUrl":"https://doi.org/10.1145/3033288.3033308","url":null,"abstract":"For the past many years, imaging technology has been flourishing innovation. There have developed a number of multimedia imaging equipment, such as vehicle driving recorders, smartphone photography, sport cameras, SLR cameras etc. Some multimedia imaging equipment was also generally begun to be widely used in public. But despite the advances in image processing technology and improved, there are still some of the issues have not been fully dealt with properly. Such as in the high speed moving, attempting to capture motion pictures, the objects are likely to cause the image blur. These potential challenges are worth to be studied and improved. In this paper, we will explore the influence of the dynamic camera motion blur reason and attempt to perform de-blurring on motion blurred image. During the experiment, we will set up the photographic equipment to record motion images at different speeds on sliding track, and combine inertial measurement unit to collect data of the triaxial accelerometer motion. In order to facilitate analysis of the next stage of the experiment, we use Kalman filtering to deal for noise reduction with data of the triaxial accelerometer motion. According to capture motion images at different speeds, building the motion image de-blurring system is based on the effectiveness parameters of point spread function.","PeriodicalId":253625,"journal":{"name":"International Conference on Network, Communication and Computing","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126971552","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

Security Assessment of Information System in Hospital Environment 医院环境下信息系统安全评估

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033296

Suratose Tritilanunt, Surapol Ruaysungnoen

引用次数: 3

Proposing a Sensor Fusion Technique Utilizing Depth and Ranging Sensors for Combined Human Following and Indoor Robot Navigation 提出了一种基于深度和测距传感器的人体跟随与室内机器人联合导航传感器融合技术

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033345

Mark Tee Kit Tsun, Lau Bee Theng, H. S. Jo, Sian Lun Lau

引用次数: 4

Bidirectional Diffusion Algorithm for Image Enhancement with Local Feature 基于局部特征的图像增强双向扩散算法

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033338

Zhonghua Wang, Faliang Huang, Shijie Hu

引用次数: 0

Quadcopter Based Localization with Archimedian Trajectory 基于阿基米德轨迹的四轴飞行器定位

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033291

Nadea Nabilla Putri, Arsla Khan, S. Shin

引用次数: 0

Secured Wireless Sensor Network Using Improved Key Management 使用改进的密钥管理的安全无线传感器网络

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033351

Ibtisam J. Habeeb, Ra'ad A. Muhajjar

引用次数: 2

Construct Parity-check Matrix H of QC LDPC Codes via Arithmetic Progression 用等差数列构造QC LDPC码的校验矩阵H

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033344

Xue Zhang, Lu Peng, Chenyan Li, Qing Li

引用次数: 0

A Dynamic Energy Balance Method for Wireless Sensor Networks with Small World Characteristics 小世界特性无线传感器网络的动态能量平衡方法

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033325

Peng Geng, Yan Liu, Jie Yang

{"title":"A Dynamic Energy Balance Method for Wireless Sensor Networks with Small World Characteristics","authors":"Peng Geng, Yan Liu, Jie Yang","doi":"10.1145/3033288.3033325","DOIUrl":"https://doi.org/10.1145/3033288.3033325","url":null,"abstract":"Wireless sensor networks are often used in harsh environments, such as military fields, the node energy is difficult to be added. How to design an energy efficient network model to achieve the balanced utilization of node energy and prolong the lifetime is an important challenge for the research of wireless sensor networks. Small world networks have short average path length and large clustering coefficient, which present the characteristics of high global data transmission efficiency and good local node connectivity. So the characteristics of small world networks provide a theoretical basis for building an energy efficient network. In this paper, the small world construction methods for wireless sensor networks are summarized. Wireless sensor networks with small world characteristics are constructed based on the hybrid mode, which can be divided into the stage of topology optimization, small world model construction and energy dynamic balance. The MSW-WSNs-A3 and MSW-WSNs-A3 Cov are formed based on hybrid model of small world wireless sensor networks. Based on Java platform, the new network modes are simulated and analyzed. The results show that MSW-WSNs-A3 and MSW-WSNs-A3 Cov have longer lifetime and better effectiveness.","PeriodicalId":253625,"journal":{"name":"International Conference on Network, Communication and Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116548617","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

Research of Recognition System of Web Intrusion Detection Based on Storm 基于Storm的Web入侵检测识别系统研究

International Conference on Network, Communication and Computing Pub Date : 2016-12-17 DOI: 10.1145/3033288.3033319

Bo Li, Jinzhen Wang, Ping Zhao, Zhongjiang Yan, Mao Yang

引用次数: 2