2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)最新文献_第2页

Sycomore: A Permissionless Distributed Ledger that Self-Adapts to Transactions Demand Sycomore:一种自适应交易需求的无许可分布式账本

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548053

E. Anceaume, Antoine Guellier, R. Ludinard, B. Sericola

引用次数: 11

Supporting the Identification and the Assessment of Suspicious Users on Twitter Social Media 支持对Twitter社交媒体上可疑用户的识别和评估

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548321

A. Tundis, Gaurav Bhatia, Archita Jain, M. Mühlhäuser

{"title":"Supporting the Identification and the Assessment of Suspicious Users on Twitter Social Media","authors":"A. Tundis, Gaurav Bhatia, Archita Jain, M. Mühlhäuser","doi":"10.1109/NCA.2018.8548321","DOIUrl":"https://doi.org/10.1109/NCA.2018.8548321","url":null,"abstract":"The exploitation of Internet technology represents for terrorists and criminals a convenient means for establishing and advertising illegal activities. Especially, social networks facilitate new collaborations as well as the spreading of information with a lower risk of being exposed and fetched. Indeed, due to the increasing number of social media and the huge amount of data continuously generated from them, the discovering process of cyber-criminals is a hard task to be performed by the Law Enforcement Agencies and Police Forces if only based on traditional approaches. It becomes even harder if the heterogeneous nature of data, due to multi-cultural aspects, such as the variety of languages, is considered during the searching process. As a consequence, the adoption of a computer-based approach represents a viable solution. In particular, this paper aims at supporting the automatic identification process of potential online suspicious users, who act on social media. A methodological process, centered on the combination of well-known text analysis techniques by considering multi-language aspects, is proposed. In addition, an evaluation approach, based on the exploitation of different qualitative evaluation criteria, is employed to assess the level of suspiciousness of the identified users. Finally, a software tool that supports the execution of the proposed process is developed and its experimentation is shown through a case study on Twitter.","PeriodicalId":268662,"journal":{"name":"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129042170","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: 8

Analysis of Burst Header Packets in Optical Burst Switching Networks 光突发交换网络中突发头包的分析

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548071

S. Chawathe

引用次数: 8

Population Protocols with Convergence Detection 具有收敛检测的种群协议

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548344

Yves Mocquard, B. Sericola, E. Anceaume

引用次数: 2

Response Time Characterization of Microservice-Based Systems 基于微服务的系统响应时间表征

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548062

Jaime Correia, Fabio Ribeiro, R. Filipe, Filipe Araújo, J. Cardoso

{"title":"Response Time Characterization of Microservice-Based Systems","authors":"Jaime Correia, Fabio Ribeiro, R. Filipe, Filipe Araújo, J. Cardoso","doi":"10.1109/NCA.2018.8548062","DOIUrl":"https://doi.org/10.1109/NCA.2018.8548062","url":null,"abstract":"In pursuit of faster development cycles, companies have favored small decoupled services over monoliths. Following this trend, distributed systems made of microservices have grown in scale and complexity, giving rise to a new set of operational problems. Even though this paradigm simplifies development, deployment, management of individual services, it hinders system observability. In particular, performance monitoring and analysis becomes more challenging, especially for critical production systems that have grown organically, operate continuously, and cannot afford the availability cost of online benchmarking. Additionally, these systems are often very large and expensive, thus being bad candidates for full-scale development replicas. Creating models of services and systems for characterization and formal analysis can alleviate the aforementioned issues. Since performance, namely response time, is the main interest of this work, we focused on bottleneck detection and optimal resource scheduling. We propose a method for modeling production services as queuing systems from request traces. Additionally, we provide analytical tools for response time characterization and optimal resource allocation. Our results show that a simple queuing system with a single queue and multiple homogeneous servers has a small parameter space that can be estimated in production. The resulting model can be used to accurately predict response time distribution and the necessary number of instances to maintain a desired service level, under a given load.","PeriodicalId":268662,"journal":{"name":"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133480397","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: 9

RF Energy Harvesting and Information Transmission Based on Power Splitting and NOMA for IoT Relay Systems 基于功率分割和NOMA的物联网中继系统射频能量收集和信息传输

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548068

A. Rauniyar, P. Engelstad, O. Østerbø

{"title":"RF Energy Harvesting and Information Transmission Based on Power Splitting and NOMA for IoT Relay Systems","authors":"A. Rauniyar, P. Engelstad, O. Østerbø","doi":"10.1109/NCA.2018.8548068","DOIUrl":"https://doi.org/10.1109/NCA.2018.8548068","url":null,"abstract":"Due to the proliferation of the Internet of Things (loT), an unprecedented expansion of wireless devices and communication among these devices for data transmission is expected over the next few years. IoT devices are rather power constrained and are mostly battery operated devices. Therefore, energy efficiency of such IoT devices or systems is a major concern. In this paper, radio frequency (RF) energy harvesting and information transmission based on Non-orthogonal multiple access (NOMA) protocol is considered for wireless powered IoT relay systems. A source node needs the help of power constrained IoT relay node IoTR to transmit its data. IoTR node first harvests the energy from the RF signal of the source node and process the information in the first stage and then transmits the source node information data along with its data using NOMA protocol in the next stage. Unlike most of the previous works in this domain, this paper also considers the data transmission of the IoTR node along with the source node to its intended destination nodes. Specifically, considering the energy constrained nature of IoT nodes and devices, we have used the combination of power splitting (PS) and NOMA protocol and have mathematically derived the outage probability and sum-throughput for the proposed system. We have also formulated an algorithm to find out the optimal power splitting factor that maximizes the sum-throughput of the proposed system. Our proposed system analytical results are validated by the simulation results.","PeriodicalId":268662,"journal":{"name":"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313933","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: 9

Sensing Quality and Estimation of Public Transport Occupancy During Live Operation 公共交通运行过程中占用率的感知质量与估计

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548319

L. Mikkelsen, H. Schwefel, T. Madsen

引用次数: 1

Using SGX-Based Virtual Clones for IoT Security 使用基于sgx的虚拟克隆实现物联网安全

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548065

Rashid Tahir, A. Raza, Fareed Zaffar, Faizan Ul Ghani, M. Zulfiqar

引用次数: 2

Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction 高效、流畅和稳健的人机交互的雾机器人

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548077

G. Chand, Suman Ojha, B. Johnston, Jesse Clark, Mary-Anne Williams

{"title":"Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction","authors":"G. Chand, Suman Ojha, B. Johnston, Jesse Clark, Mary-Anne Williams","doi":"10.1109/NCA.2018.8548077","DOIUrl":"https://doi.org/10.1109/NCA.2018.8548077","url":null,"abstract":"Active communication between robots and humans is essential for effective human-robot interaction. To accomplish this objective, Cloud Robotics (CR) was introduced to make robots enhance their capabilities. It enables robots to perform extensive computations in the cloud by sharing their outcomes. Outcomes include maps, images, processing power, data, activities, and other robot resources. But due to the colossal growth of data and traffic, CR suffers from serious latency issues. Therefore, it is unlikely to scale a large number of robots particularly in human-robot interaction scenarios, where responsiveness is paramount. Furthermore, other issues related to security such as privacy breaches and ransomware attacks can increase. To address these problems, in this paper, we have envisioned the next generation of social robotic architectures based on Fog Robotics (FR) that inherits the strengths of Fog Computing to augment the future social robotic systems. These new architectures can escalate the dexterity of robots by shoving the data closer to the robot. Additionally, they can ensure that human-robot interaction is more responsive by resolving the problems of CR. Moreover, experimental results are further discussed by considering a scenario of FR and latency as a primary factor comparing to CR models.","PeriodicalId":268662,"journal":{"name":"2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816318","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: 20

An Ensemble Learning Based Wi-Fi Network Intrusion Detection System (WNIDS) 基于集成学习的Wi-Fi网络入侵检测系统

2018 IEEE 17th International Symposium on Network Computing and Applications (NCA) Pub Date : 2018-11-01 DOI: 10.1109/NCA.2018.8548315

Francisco D. Vaca, Quamar Niyaz

引用次数: 25