Zhao Xianghui, Peng Yong, Yao Yuangang, Wang Xiaoyi, Zheng Zhan
{"title":"A classification method to detect if a tweet will be popular in a very early stage","authors":"Zhao Xianghui, Peng Yong, Yao Yuangang, Wang Xiaoyi, Zheng Zhan","doi":"10.1109/CCCS.2015.7374171","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374171","url":null,"abstract":"Timely prediction of the popular tweet is of great value in monitoring public opinion, marketing, emergency detection, personalized recommendations and other areas. This paper makes two improvements of predicting popularity of a tweet in Microblog. On one hand, we proposes some dynamic features, such as the retweet depth, retweet width, the total fans of the retweeters, to improve the prediction accuracy. On the other hand, we sharply shorten the time to detect whether a tweet will be popular by putting forward a method called LR-DT which combining the linear regression and the decision tree. We firstly use the linear regression method to predict the dynamic features' amount an hour later after the tweet transferred and then combine them with some static features into the decision tree classifier to detect the popularity of tweets. Our experiments are based on the real data set from Sina Weibo, which is the most popular micro blog service platform in China . The results show that we proposed method effectively identify the popularity of a tweet in less than 5 minutes while with little lose of accuracy.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003116","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}
{"title":"Face recognition techniques, their advantages, disadvantages and performance evaluation","authors":"Lerato Masupha, T. Zuva, S. Ngwira, O. Esan","doi":"10.1109/CCCS.2015.7374154","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374154","url":null,"abstract":"A human brain can store and remember thousands of faces in a person's life time, however it is very difficult for an automated system to reproduce the same results. Faces are complex and multidimensional which makes extraction of facial features to be very challenging, yet it is imperative for our face recognition systems to be better than our brain's capabilities. The face like many physiological biometrics that include fingerprint, hand geometry, retina, iris and ear uniquely identifies each individual. In this paper we focus mainly on the face recognition techniques. This review looks at three types of recognition approaches namely holistic, feature based (geometric) and the hybrid approach. We also look at the challenges that are face by the approaches.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121978433","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}
Mrinal Sohoraye, Vandanah Gooria, S. Nundoo-Ghoorah, Premanand Koonjal
{"title":"Do you know Big Brother is watching you on Facebook? A study of the level of awareness of privacy and security issues among a selected sample of Facebook users in Mauritius","authors":"Mrinal Sohoraye, Vandanah Gooria, S. Nundoo-Ghoorah, Premanand Koonjal","doi":"10.1109/CCCS.2015.7374194","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374194","url":null,"abstract":"Facebook has become the most powerful online social network in recent years. The billions of users appreciate the ease of use and the various applications of the network. It is so pervasive in people's personal life that it is difficult to imagine life without Facebook. However, there have been a number of concerns with regards to privacy and security. The present study investigates the current use of Facebook in Mauritius and assesses the level of awareness of privacy and security among a selected sample of users. Data shows that literature is scarce in Mauritius though the island aspires to be the Cyber Island of the Indian Ocean. Thus, a large-scale study on the use of Facebook in Mauritius is required. A comprehensive questionnaire was designed to gauge the perception and to investigate privacy and security concerns. Results demonstrate that users in Mauritius blindly trust the network but are relatively concerned about the usage of their personal information. It is also a matter of serious concern that users have limited knowledge of the provisions of the Computer Misuse and Cybercrime Act (2003) which is one of the harshest in the world when it comes to misuse of computers. The paper proposes a number of recommendations which need to be applied urgently by online social networks and other stakeholders and the need for an explicit informed consent from users each time personal data is used.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"411 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133323025","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}
{"title":"Reducing structured Big data benchmark cycle time using query performance prediction model","authors":"Rekha Singhal","doi":"10.1109/CCCS.2015.7374126","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374126","url":null,"abstract":"The paradigm of big data demands either extension of existing benchmarks or building new benchmarks to capture the diversity of data and impact of change in data size and/or system size. This has led to increase in cycle time of benchmarking an application which includes multiple workloads executions on different data sizes. This paper addresses the problem of reducing the benchmark cycle time for structured application evaluation on different data sizes. The paper propose an approach of reducing Big data benchmark cycle time using prediction models for estimating SQL query execution time with data growth. The paper also proposes a model which could be used for efficient tuning of benchmark queries before their executions, to speed up the application evaluation process, on different data sizes. The proposed model estimates structured query execution time for large data size by exploiting data value distribution without actually generating high volume data. The model is validated against three lab implementation of real life applications and TPC-H benchmarks.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617794","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}
{"title":"Proactive digital forensics in the cloud using virtual machines","authors":"D. Ras, H. Venter","doi":"10.1109/CCCS.2015.7374190","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374190","url":null,"abstract":"With the advent of cloud computing systems it has become possible to provision large scale systems in a short time with little effort. The systems underpinning these cloud systems have to deal with massive amounts of data in order to function. Should an indecent occur that requires some form of forensic investigation it can be very challenging for an investigator to conduct the investigation. This is due, in large part, to the volatility of data in cloud systems. In this paper, a model architecture is proposed to enable proactive forensics of cloud computing systems. Using a reference architecture for cloud systems, an add-on system is created to enable the capture and storage of forensic data. The captured data is then available to the investigator should the need for an investigation arise. This must be achieved with minimal alteration or interruption of existing cloud systems. The system is described and a theoretical architectural model is given. An evaluation discusses the possible advantages and disadvantages of such a system and how it can be implemented as a proof of concept. It also relates the proposed model to the ISO 27043 standard of forensic investigations.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820984","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}
{"title":"An investigation on residential exposure to electromagnetic field from cellular mobile base station antennas","authors":"A. Renke, M. Chavan","doi":"10.1109/CCCS.2015.7374208","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374208","url":null,"abstract":"The increasing number of antennas on the cellular base station towers led to growth of public concern related to human exposure to electromagnetic fields (EMF) and various health effects. The study investigated the levels of electromagnetic radiation emitted from cellular base stations in Kolhapur, a district located in west Maharashtra. The paper focused on human exposure to electromagnetic radiation from base station antennas in residential areas. Various exposure situations were considered such as hall, kitchen, bedroom, and terrace, where electromagnetic field exposure was measured in terms of power density and electric field. The average height of the antenna tower was around 150 feet and average numbers of antennas on the base station towers were around 16. Results were tabulated in terms of power density and electric field. The measured values of power density were well below the maximum permissible exposure levels. The electromagnetic field exposure was maximum at terrace, medium at hall and bedrooms and low at kitchens. The residential exposure varies from 45.92 to 13860 μw/ m2. The maximum value of residential exposure was 2797 μw/ m2.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121972235","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}
{"title":"IDPS based framework for security in green cloud computing and comprehensive review on existing frameworks and security issues","authors":"Komal Singh Gill, Anju Sharma","doi":"10.1109/CCCS.2015.7374153","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374153","url":null,"abstract":"IT sector is growing day by day, its data and energy costs are also increasing, which needs to access the highend computing capabilities. To fulfill these requirements, there is a need to shift from traditional computing practices to new computing practices that give access to a broader network, unlimited resources, and enables self-service on demand at a reasonable cost using pay per use method. All these requirements can be fulfilled with cloud computing. Cloud Computing has a number of advantages as well as disadvantages. Security is a major threat to the cloud computing because the data placed on cloud servers is always vulnerable as there are lots of attackers on the internet who tries to compromise the security of the cloud. To overcome this issue, we use security appliances in the form of physical machines or by virtualization. A significant amount of power is consumed by security appliances which not only leads to the high energy costs but also a major threat to the environment as carbon-dioxide is released. So there is a need to find optimal solutions for providing security in cloud computing environment in an efficient manner. In this paper, a comprehensive survey on existing cloud security frameworks has been done. Based upon the limitations on existing frameworks a new framework has been proposed to provide security in virtual networks that is based on Intrusion Detection and Prevention System (IDPS) and its prototype implementation has also been done.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131183486","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}
{"title":"Parallelization of association rule mining: Survey","authors":"Shivani Sharma, Durga Toshniwal","doi":"10.1109/CCCS.2015.7374209","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374209","url":null,"abstract":"In todays big data era, all modern applications are generating and collecting large amount of data. As a result, data mining is encountering new challenges and opportunities to make algorithms such that, this voluminous data can be effectively and efficiently transformed into actionable knowledge . Traditional algorithms were designed to run sequentially over a single machine. But, as the volume of data increases computational cost associated with its processing also increases. This causes problems in analysing data on a single sequential machine and instead of assisting in data analysis, the processor serve more like a bottleneck. Parallel and distributed approaches improve the performance in terms of computational cost as well as scalability but experience some limitations during load balancing, data partitioning, job assignment, monitoring etc. MapReduce, a parallel programming model is a new concept which provides seemingly unlimited computing power, cheap storage as well as, can overcome above limitations. This makes it a topic of upcoming research interest. A detailed literature review of some existing methods is given along with their pros and cons.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131092407","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}
P. Appavoo, Meera Gungea, Teenah Jutton, Preetamsingh Dookhun
{"title":"Confused which educational video to choose? Appropriateness of YouTube videos for instructional purposes- making the right choice","authors":"P. Appavoo, Meera Gungea, Teenah Jutton, Preetamsingh Dookhun","doi":"10.1109/CCCS.2015.7374187","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374187","url":null,"abstract":"The ubiquity of computers and increasing Internet connectivity is leading to the emergence of innovative ways of learning such that terms like mixed-ability teaching, independent and flexible learning and interactive lessons are becoming buzzwords for the learning society. The availability of the enormous variety of online free resources poses problems when it comes to picking out the relevant, updated and appropriate ones be it for general use or for educational purposes. YouTube Edu offers a learning platform with hundreds of thousands of instructional materials, only a mouse click away. In an attempt to spot the best videos, many are guided by the number of views and likes. This study investigated the appropriateness of this selection approach. Media specialists and video producers brainstormed, discussed and agreed on a list of 16 criteria which were then applied to 30 videos dealing with three subjects of Mathematics, namely Fractions, Sets and Integers. Each video was attributed a suitability video index (SVI) on a scale of 0-48. The study revealed that if in the first instance, the number of views and likes can be a first step towards selecting appropriate videos, yet a more scientific approach needs to be adopted and this study has compiled a set of carefully selected criteria to assess the suitability of videos for instructional purposes. These criteria can be used as important guidelines for video makers wishing to produce sound and pedagogical instructional videos.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321380","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}
M. Robberts, Klarissa Engelbrecht, J. A. van der Poll
{"title":"A framework for the support of mobile knowledge workers in South Africa","authors":"M. Robberts, Klarissa Engelbrecht, J. A. van der Poll","doi":"10.1109/CCCS.2015.7374151","DOIUrl":"https://doi.org/10.1109/CCCS.2015.7374151","url":null,"abstract":"Over a relatively short time span, mobile communication progressed from an expensive and unwieldy commodity to the brink of delivering a truly “agile” workplace. It has become of importance for organisations to invest in initiatives aimed at providing workers with a degree of mobility. The impact of mobility on organisational environments seems to be generally well understood. The researchers identified a gap with regard to a holistic analysis of the requirements of mobile environments. The question as to what framework can be defined to guide organisations when designing environments to support mobile knowledge workers was identified. Having analysed data gathered via an online questionnaire with the current literature knowledge base, a layered approach to mobile environments, namely the SAND framework, was designed. Addressing the aspects captured in the layers of the framework can assist organisations in designing successful and optimal mobile environments.","PeriodicalId":300052,"journal":{"name":"2015 International Conference on Computing, Communication and Security (ICCCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133352717","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}