2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)最新文献

IoT Standardization - The Approach in the Field of Data Protection as a Model for Ensuring Compliance of IoT Applications? 物联网标准化——数据保护领域的方法作为确保物联网应用合规性的模型?

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-22 DOI: 10.1109/W-FiCloud.2016.74

K. Stuurman, Irene Kamara

{"title":"IoT Standardization - The Approach in the Field of Data Protection as a Model for Ensuring Compliance of IoT Applications?","authors":"K. Stuurman, Irene Kamara","doi":"10.1109/W-FiCloud.2016.74","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.74","url":null,"abstract":"The IoT applications will have an unprecedented influence on our private and professional lives. IoT promises, next to advanced machine-to-machine interaction, delivery of a next level of man-to-machine communication based on a smart, global communications infrastructure. One of the characteristics setting the IoT apart is a broad range of critical issues that can be associated with the use, and hence development of IoT applications. Next to data protection and security issues, this could include ethics, responsibility, liability, insurance, accountability and autonomy, to issues relating to conditions for market access. To the extent standards play a role, it is of utmost importance to choose the right regulatory model, given the fundamental issues at stake. The existing New Approach, being the dominant regulatory model for applying standards in relation to EU product legislation, has been criticized for lacking legitimacy of standard-setting procedures and lacking judicial review. The global nature of IoT standardization will put further pressure on the role of the European Standardization System and give rise to further concerns regarding these issues. Recently, the General Data Protection Regulation, a legal instrument to regulate the processing of personal data, was adopted in the European Union. The Regulation endorses standardization, both explicitly and implicitly, but in a different way from the New Approach model. One could speak of a 'data protection model' in that respect, given the 'sensitive' nature of data protection on the one hand and ethics, liability, accountability issues in the IoT context on the other, the new model might prove to be appropriate for using standards in regulating those critical issues as well.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121175283","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: 7

A Survey on Network Security Monitoring Systems 网络安全监控系统综述

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-22 DOI: 10.1109/W-FiCloud.2016.30

Ibrahim Ghafir, Václav Přenosil, Jakub Svoboda, Mohammad Hammoudeh

引用次数: 59

A Social Network Analysis of Tweets during the Gaza War, Summer 2014 2014年夏季，加沙战争期间推文的社会网络分析

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-22 DOI: 10.1109/W-FiCloud.2016.54

W. A. Sarraj, Khalid M. Kahloot, Ashraf Y. A. Maghari, Mahmoud M. Abu-Ghosh

{"title":"A Social Network Analysis of Tweets during the Gaza War, Summer 2014","authors":"W. A. Sarraj, Khalid M. Kahloot, Ashraf Y. A. Maghari, Mahmoud M. Abu-Ghosh","doi":"10.1109/W-FiCloud.2016.54","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.54","url":null,"abstract":"The platforms of social Networks play a growing role in influencing the public opinion. In addition, social Networks can describe the reaction of communities towards the reigning conflicts in the world. As a matter of fact, analysis of Social Networks has been used widely for a better understanding how communities address prominent and influential events. As for Twitter, it has used as a platform for exchanging opinions and showing support for either of parties of a conflict. For instance, Twitter witnessed trending of hashtags such as #Gazawar #GazaUnderAttack or #IsraelUnderFire. In this paper, we discuss the role of Social Networks, particularly Twitter, in influencing the Israeli war on Gaza Strip - Palestine during summer 2014. This study shows the mode of public opinion and its reflections on what is trending on Twitter. We construct a dataset drawn from Social Networks sources to examine the behavior of Israeli, Palestinian and foreigner universe. Moreover, we analyze the dataset including tweets as reactions to Gaza War 2014. The results illustrate the important insight of the Social Networks. As regards influencing, it affects perspective of the international universe as well how they address the conflict.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114895917","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: 0

Spar(k)ql: SPARQL Evaluation Method on Spark GraphX Spar(k)ql: Spark GraphX上的SPARQL评估方法

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.48

G. Gombos, G. Rácz, A. Kiss

引用次数: 5

A Novel Authentication and Key Agreement Protocol for Internet of Things Based Resource-Constrained Body Area Sensors 一种基于资源受限体面积传感器的物联网认证与密钥协议

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.70

M. Iqbal, M. Bayoumi

{"title":"A Novel Authentication and Key Agreement Protocol for Internet of Things Based Resource-Constrained Body Area Sensors","authors":"M. Iqbal, M. Bayoumi","doi":"10.1109/W-FiCloud.2016.70","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.70","url":null,"abstract":"Secrecy and integrity of communication, as well as the authenticity of messages must be ensured by the security primitives and is critical element in Internet of Things (IoT). Devices in IoT applications such as smart healthcare applications deal with sensitive data of our health and daily lives and thus can execute malicious actuating commands with serious safety consequences. Therefore, it is important to ensure secure communication channel establishment among the medical sensors or devices and the remote servers. In this work, we propose a novel authentication and key agreement protocol that is lightweight for resource-constrained sensors and suitable to protect sensitive health related data in the context of IoT. The protocol is based on cooperation by offloading the heavy cryptographic functions of resource-constrained sensors to the trustful neighboring sensors. This trust verification is ensured by finding the data correlations from the data of embedded accelerometers in the smartphone acting as gateway and the sensors installed on the body. Security analysis and performance evaluation results show that the proposed protocol is secure and is energy efficient.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123702805","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: 12

Correlation of Weather and Moods of the Italy Residents through an Analysis of Their Tweets 从推特分析意大利居民天气与情绪的相关性

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.53

G. Modoni, Davide Tosi

引用次数: 9

Optimised QoS-Aware DBA Mechanisms in XG-PON for Upstream Traffic in LTE Backhaul LTE回程上行流量XG-PON中qos感知DBA机制的优化

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.79

Jerome A. Arokkiam, Kenneth N. Brown, C. Sreenan

{"title":"Optimised QoS-Aware DBA Mechanisms in XG-PON for Upstream Traffic in LTE Backhaul","authors":"Jerome A. Arokkiam, Kenneth N. Brown, C. Sreenan","doi":"10.1109/W-FiCloud.2016.79","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.79","url":null,"abstract":"Passive Optical Networks (PON) are viewed as an attractive choice to provide flexible and cost-efficient backhaul for Long Term Evolution (LTE) cellular base stations (eNB). PONs, such as the 10-Gigabit capable PON (XG-PON), use a Dynamic Bandwidth Allocation (DBA) mechanism to multiplex the shared upstream medium between competing sending nodes. Due to the complex definitions of QoS for DBA in XG-PON, it is a challenge for the XG-PON to respect the Quality of Service (QoS) requirements for different aggregated upstream applications in the LTE backhaul, in particular voice, live video and best-effort Internet traffic. In this paper, we first evaluate two recent XG-PON-standard-compliant DBAs - XGIANT and Efficient Bandwidth Utilisation (EBU) - for mean queuing-delay performance, with regard to priority and fairness, when the realistically-generated upstream voice, video and best-effort applications are aggregated at the evolved Node B (eNB) in LTE. We show that neither XGIANT nor EBU satisfy the priority and fairness requirements for mean queuing-delay. We propose and evaluate two optimised DBAs - Deficit XGIANT (XGIANT-D) and Proportional XGIANT (XGIANT-P). Our evaluations of the optimised DBAs, in the ns-3 network simulator, show that both XGIANT-D and XGIANT-P are able to ensure strictly prioritised, low and fair mean-queuing-delays for eNB-aggregated voice, video and best-effort traffic in two loaded conditions in XG-PON upstream. XGIANT-D and XGIANT-P, when compared with XGIANT and EBU, also ensure lower packet losses for eNB-aggregated upstream traffic in the XG-PON-based LTE backhaul.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116723349","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: 15

Microblogging Hash Tag Recommendation System Based on Semantic TF-IDF: Twitter Use Case 基于语义TF-IDF的微博哈希标签推荐系统:Twitter用例

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.59

M. S. Tajbakhsh, J. Bagherzadeh

{"title":"Microblogging Hash Tag Recommendation System Based on Semantic TF-IDF: Twitter Use Case","authors":"M. S. Tajbakhsh, J. Bagherzadeh","doi":"10.1109/W-FiCloud.2016.59","DOIUrl":"https://doi.org/10.1109/W-FiCloud.2016.59","url":null,"abstract":"Limitation in the number of characters in microblogging systems, such as Twitter, forces users to use various terms for the same meaning, object, or concept. Sometimes the same term is used in a shorter form (e.g. #friend and #frnd) in a tweet. This problem makes finding similarities between such tags and their corresponding tweets harder. The classical text mining methods cannot be used efficiently in the short tweets. Thus tweets similarity and subsequently tag recommendation, as one of the problems in microblogging social networks, needs a new method with higher efficiency. In this paper we have defined a new semantic based method to find similarities among short messages. We have modeled each short message as a semantic vector which can be used along with any similarity method such as cosine similarity. Then we evaluated the accuracy of the new semantic similarity based tag recommendation system using various semantic based algorithms and compare their results. The semantic based algorithms used are: Shortest Path, Wu & Palmer, Lin, JiangConrath, Resnik, Lesk, LeacockChodorow, and Hirst-StOnge. Results are evaluated using 8396744 real English tweets and show around 6 times improvement in accuracy over normal TF-IDF.","PeriodicalId":441441,"journal":{"name":"2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124381783","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: 25

AffinityFinder: A System for Deriving Hidden Affinity Relationships on Twitter Utilizing Sentiment Analysis AffinityFinder:一个利用情感分析在Twitter上派生隐藏亲和关系的系统

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.52

A. Rezgui, Daniel Fahey, Ian Smith

引用次数: 7

Provable Secure Pairing-Free Certificate-Less Authenticated Key Agreement Protocol 可证明的安全无配对无证书认证密钥协议

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) Pub Date : 2016-08-01 DOI: 10.1109/W-FiCloud.2016.32

A. Farouk, M. Fouad

引用次数: 0