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Privacy in the Future of Integrated Health Care Services - Are Privacy Languages the Key? 15

Privacy in the Future of Integrated Health Care Services - A...

引用

15th international conference on Wireless and Mobile computing, networking and Communications (WiMob)

作者： Gerl, Armin Meier, Bianca Univ Passau Chair Distributed Multimedia Informat Syst Passau Germany

ISBN: (纸本)9781728133164

In out data-driven society more and more personal and sensitive data is processed and stored making it virtually impossible for end-users to comprehend what happens to their data. Although in health care strict regulations for the processing of personal data already existed, the General Data Protection Regulation (GDPR) provides a EU-wide regulation. Despite these regulations, it still exists a lack of transparency due to high complexity and missing details of privacy policies. The lack of transparency increases when various services are integrated sharing their data and forming virtual data marketplaces with various stakeholders. We argue for the strategic usage of privacy languages, i.e. the Layered Privacy Language (LPL), to formalize and present privacy policies transparently to users, enable consent management, and personalization of privacy requirements. Therefore, LPL policies are intended to fill the gap between the statement of privacy and its realization. Although LPL has been designed with the requirements of privacy policies considering GDPR, real-life privacy policies are required to be expressible with its vocabulary. Therefore, LPL will be validated against a meaningful real-life privacy policy example, that can reflect the future of integrated health care services to demonstrate capabilities, compliance and limitations of privacy languages.

关键词： Consent Management GDPR Layered Privacy Language Negotiation Personalization Privacy Management

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A Comparative Study on Performance and Resource Utilization of Real-time distributed Messaging Systems for Big Data 20

A Comparative Study on Performance and Resource Utilization ...

引用

20th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing (SNPD 2019)

作者： Intorruk, Somprasong Numnonda, Thanisa King Mongkuts Inst Technol Ladkrabang Fac Informat Technol Bangkok Thailand

ISBN: (纸本)9781728116518

In the past few years, data continuously increase and in various forms called Big Data. Besides, data analytics play an important role more and more in most organizations. From these reasons, many efficiently distributed messaging systems have been introducing to handle Big Data in real-time. However, choosing the appropriate and efficient methods and tools to transfer Big Data is still challenging. Therefore, this paper purposes of comparing the architecture, performance, and resource utilization between Apache Kafka which is one of the favorite tools for Big Data and Apache Pulsar which is similar to Kafka and become one of the latest tools for big data. After we implemented both systems in the same environment, the results show that Pulsar outperforms in throughput, latency, and average resource utilization especially when the size of messages is small (such as 1 KB and 1MB).

关键词： Kafka Pulsar distributed messaging Big Data

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Towards making big data applications network-aware in edge-cloud systems 8

Towards making big data applications network-aware in edge-c...

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8th IEEE international conference on Cloud networking (CloudNet)

作者： Haja, David Vass, Balazs Toka, Laszlo MTA BME Network Softwarizat Res Grp Budapest Hungary Budapest Univ Technol & Econ Budapest Hungary MTA BME Informat Syst Res Grp Budapest Hungary

ISBN: (纸本)9781728148328

The amount of data collected in various IT systems has grown exponentially in the recent years. So the challenge rises how we can process those huge datasets with the fulfillment of strict time criteria and of effective resource consumption, usually posed by the service consumers. This problem is not yet resolved with the appearance of edge computing as widearea networking and all its well-known issues come into play and affect the performance of the applications scheduled in a hybrid edge-cloud infrastructure. In this paper, we present the steps we made towards network-aware big data task scheduling over such distributed systems. We propose different resource orchestration algorithms for two potential challenges we identify related to network resources of a geographically distributed topology: decreasing end-to-end latency and effectively allocating network bandwidth. The heuristic algorithms we propose provide better big data application performance compared to the default methods. We implement our solutions in our simulation environment and show the improved quality of big data applications.

关键词： Big data resource orchestration network latency bandwidth geo-distributed network topology

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Recursive Self Organizing Maps and Software Defined networking Cloud - A Survey 9

Recursive Self Organizing Maps and Software Defined Networki...

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international conference on Computer Communication and Informatics (ICCCI)

作者： Pillutla, Harikrishna Amuthan, A. Pondicherry Engn Coll Dept Comp Sci & Engn Pondicheny India

ISBN: (纸本)9781538682593

Before the invention of computers, humans tend to find the calculation, remembrance of information difficult. Even though the computer reduced the burden of humans, the invent of distributed computing helped the computers to distribute the workload to other computers within the network. To optimize and evade the disadvantages of distributed computing, Cloud computing was developed. Cloud computing tends to provide services like IaaS, PaaS through internet. To improve the scalability and dynamic feature of Cloud, the Software Defined Network can be embedded to form SDN Cloud. For the purpose of better understanding and representation a Self-Organizing Map is used for reducing the higher level representation data to lower level representation data. One type of Self Organizing Maps is known as Recursive Self Organizing Maps in which the time is represented using the feedback. DDoS attacks, Data Breach and Data Loss are some of the several security flaws that arc used by unauthorized users for illegal access into the cloud. This paper presents an extensive survey of the Recursive Self Organizing Maps and DDoS mitigation in SDN and cloud network.

关键词： Cloud computing security distributed Denial of Service Recursive Self Organizing Maps

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SLA-driven Creditable and Negotiable Resource optimized Allocation Scheme in Cloud 16

SLA-driven Creditable and Negotiable Resource optimized Allo...

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16th IEEE international Wireless Communications and Mobile computing conference, IWCMC 2020

作者： Peng, Yu Yong, Yan Haotian, Qiu Ying, Wang Fanqin, Zhou Lei, Feng Wenjing, Li Xue-Song, Qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China State Grid Zhejiang Electric Power Company Ltd Hangzhou310014 China

ISBN: (纸本)9781728131290

The cloud computing market is dynamic, distributed, and lacks central authorization. In this environment, cloud resource providers are vulnerable to deception and cloud resources may be abused. How to implement efficient and feasible trusted negotiations with users to expand Benefits is an urgent issue. Based on SLA (Service Level Agreement), this paper proposes a trusted negotiation method to optimize cloud resource allocation from the perspective of cloud resource providers. In a nutshell, it firstly quantifies each indicator based on the total amount of cloud resources requested by the user and the corresponding price, the user's comprehensive credit, and the total amount of resources corresponding to each SLA level, then filters the users who meet the requirements. Next knapsack algorithm and the greedy algorithm based on dynamic programming are used to predict the allocation of cloud resources respectively. Finally, the allocated users are negotiated to reach a transaction. This article takes the resource allocation price, negotiated price, and negotiated success rate as the evaluation index. The simulation results show that compared with the greedy algorithm, the algorithm in this paper has higher resource allocation price, negotiated price and negotiated success rate under different numbers of users, and can effectively realize the optimal allocation of cloud resources. © 2020 IEEE.

关键词： Resource allocation

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A Comprehensive Survey on Different Attacks on SDN and Approaches to Mitigate 3

A Comprehensive Survey on Different Attacks on SDN and Appro...

引用

3rd international conference on computing Methodologies and Communication (ICCMC)

作者： Hatagundi, Mrityunjaya D. Kumaraswamy, H., V RVCE Dept Telecommun Engn Bengaluru India

ISBN: (纸本)9781538678084

As the technologies leaning towards digitalization, there has been extensive scope for researches in the field of Software Defined networking. The architectural framework makes the life of network administrators easy by decoupling the data plane and the control plane. This architecture exploits easy configuration of network, thus providing programmable terminal for development of applications related to security, management and logging while the centralized controller gives much more control over entire network. This type of network is at risk due to attacks by the intruders with an intention to slow down or shut down the entire network. One such kind of attacks is DoS attack. DoS attack involves flooding of fake packet flows from a single source into the original packet flow. DDoS is a type of DoS attack where multiple compromised systems, which are often infected with malicious programs, are used to target a single system Hence to achieve security in distributed environment, it is important to reduce the effect of such attacks. In this paper an approach of mitigating distributed DoS has been discussed. Approach first detects DDoS using Entropy Detection attack and then uses Bandwidth Prediction method to mitigate it. Entropy is basically used for measuring randomness in the system and there are two essential components to DDoS detection using entropy;window size and threshold.

关键词： Software Defined networking distributed DoS Controller Entropy Threshold

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Proceedings - 2019 IEEE Intl Conf on Parallel and distributed Processing with Applications, Big Data and Cloud computing, Sustainable computing and Communications, Social computing and networking, ISPA/BDCloud/SustainCom/SocialCom 2019

Proceedings - 2019 IEEE Intl Conf on Parallel and Distribute...

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17th IEEE international conference on Parallel and distributed Processing with Applications, 9th IEEE international conference on Big Data and Cloud computing, 9th IEEE international conference on Sustainable computing and Communications, 12th IEEE international conference on Social computing and networking, ISPA/BDCloud/SustainCom/SocialCom 2019

ISBN: (纸本)9781728143286

The proceedings contain 232 papers. The topics discussed include: convolutional neural network-based approach for citrus diseases recognition;using temporal conceptual graphs and neural networks for big data-based attack scenarios reconstruction;taxi demand prediction with LSTM-based combination model;counting attention based on classification confidence for visual question answering;an optimization method of WebP images lossy compression algorithm for FPGAs;self-adaptive address mapping mechanism for access pattern awareness on DRAM;a high-performance self-learning antelopes migration algorithm (SAMA) for global optimization;and using resource use data and system logs for HPC system error propagation and recovery diagnosis.

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Part III - distributed computing and networking [breaker page]

Part III - Distributed Computing and Networking [breaker pag...

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IEEE international conference on Intelligent Computer Communication and Processing (ICCP)

Start of the above-titled section of the conference proceedings record.

ISBN: (数字)9781728190808

ISBN: (纸本)9781728190815

Start of the above-titled section of the conference proceedings record.

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Multi-objective distributed Clustering Algorithm in Wireless Sensor Networks Using the Analytic Hierarchy Process 20

Multi-objective Distributed Clustering Algorithm in Wireless...

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20th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, networking and Parallel/distributed computing (SNPD 2019)

作者： Zhang, Jingxia Yan, Ruqiang Southeast Univ Sch Instrument Sci & Engn Nanjing 210096 Peoples R China

ISBN: (纸本)9781728116518

In wireless sensor networks, unbalanced energy consumption may shorten network lifespan. In this paper, a multi-objective distributed clustering algorithm using the analytic hierarchy process is developed to ensure that the energy expenditure of the cluster head nodes is balanced and the network lifespan is enhanced. By adopting the analytic hierarchy process model, our proposed algorithm aggregates multiple factors such as the node energy, the node centrality, and the node degree to search for an optimal clustering structure. Furthermore, a super cluster head is selected among the cluster head nodes based on the distance from the cluster head to the base station, which further minimizes the energy dissipation. Simulation results indicate that the proposed algorithm outperforms the other existing ones in terms of clustering structure and network lifespan.

关键词： wireless sensor networks multi-objective analytic hierarchy process clustering

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Towards Service Discovery and Invocation in Data-Centric Edge Networks 27

Towards Service Discovery and Invocation in Data-Centric Edg...

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27th IEEE international conference on Network Protocols (IEEE ICNP)

作者： Mastorakis, Spyridon Mtibaa, Abderrahmen Univ Nebraska Omaha NE 68182 USA Univ Missouri St Louis St Louis MO USA

ISBN: (纸本)9781728127002

The efforts exploring Named Data networking (NDN) have mainly focused on addressing the lack of scalable data distribution by today's Internet. In this paper, we argue that NDN offers a richer environment for edge computing applications. We consider a scenario, where applications need to discover the services running in the edge network. We demonstrate the design and implementation of a distributed service discovery mechanism over NDN through an example use-case of a mobile application for vision impairment patient. The paper discusses three main edge computing challenges, namely service discovery, service invocation, and user mobility management, to highlight NDN's architectural advantages for edge computing systems. Experimental results show that our framework design can effectively utilize the available resources at the network edge, being able to satisfy 95-98% of mobile users' service requests.

关键词： Edge computing Named-Data networking Service Discovery Service Invocation

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