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15th IEEE International Symposium on Computational Intelligence and Informatics

作者： Pavlik, Jakub Komarek, Ales Sobeslav, Vladimir Univ Hradec Kralove Fac Informat & Management Hradec Kralove Czech Republic

ISBN: (纸本)9781479953370

Security of information systems is a current topic. In the case of cloud environment it is even a critical factor. In large environments like the cloud computing systems, it can be difficult to maintain a comprehensive view of the safety of the individual elements. For this reason, the utilization of technology that would allow central monitoring and that would help to maintain this awareness. Such technology is precisely Security Information and Event Management (SIEM). The main objective of this paper is to analyze the possibilities and approaches of SIEM in terms of technical requirements, logic and legal framework of the Czech Republic. On the analytical basis, the framework, which is bounding the utilization of SIEM in a cloud computing environment is proposed.

关键词： cloud computing information systems security of data Czech Republic SIEM central monitoring cloud computing environment cloud computing infrastructure cloud computing systems elements safety legal framework logic framework security information and event management security information system technical requirements cloud computing Correlation Informatics Monitoring Open source software Security Servers

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Scrutinization of Threats from a cloud-based Network Traffic Environment 18

Scrutinization of Threats from a Cloud-based Network Traffic...

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18th INDIAcom;11th International Conference on computing for Sustainable Global Development, INDIACom 2024

作者： Chopra, Shraddha Sreedevi, A.G. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9789380544519

In this age of digitalization, securing computer networks is of utmost importance to protect sensitive data and critical infrastructure. Threat scrutinization plays an integral role in identifying and thwarting cyber risks. This study focuses on a pioneering strategy to bolster the network's reliability by harnessing Artificial Intelligence (AI) techniques in conjunction with cloud computing infrastructure, particularly AWS SageMaker. The focus lies in leveraging a comprehensive and realistic cyber dataset, CSE-IDS-2018, to assess the efficacy of the proposed model. The study commences by architecting a threat scrutinization mechanism that harnesses the feasibility of machine learning algorithms, deep learning models, and cloud computing resources. Specifically, the Random Forest algorithm is employed for the multi-class classification of seven types of attacks within the CSE-CICIDS2018 dataset, facilitated by AWS SageMaker's machine-learning capabilities. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Artificial Intelligence (AI) in cybersecurity AWS SageMaker cloud computing infrastructure CSE-CIC-IDS-2018 Machine Learning Network Security Random Forest Threat Traffic

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An overview of OpenStack architecture: a message queuing services node

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CLUSTER computing-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第3-Sup期22卷 S7087-S7098页

作者： Lima, Stanley Rocha, Alvaro Roque, Licinio Tech Univ Dresden Dept Comp Sci D-01069 Dresden Germany Univ Coimbra Dept Informat Engn P-3030290 Coimbra Portugal

This article provides an overview of the different nodes that accommodate the architecture of the OpenStack project. Throughout this article, we use a statistical approach to show how OpenStack is currently being developed under the control of the OpenStack Foundation and how this new platform is influencing the global market for cloud computing. We also discuss community participation in this project and present an overview of how these different components achieve independence from each other, while using asynchronous queues to send messages among themselves in order to reliably maintain communication. As a result, we have achieved a systematic review covering the period from the start of the OpenStack project until the present. This longitudinal study can be used to examine variations and changes in characteristics and different historical versions of the OpenStack project (Kilo, Juno, Icehouse etc.) throughout the years.

关键词： OpenStack OpenStack statistics Open-source software cloud computing infrastructure Scheduling cloud resources

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Trust but Verify: Trust Establishment Mechanisms in infrastructure clouds

Trust but Verify: Trust Establishment Mechanisms in Infrastr...

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作者： Nicolae Paladi Lund University

学位级别：博士

In the cloud computing service model, users consume computation resources provided through the Internet, often without any awareness of the cloud service provider that owns and operates the supporting hardware infrastructure. This marks an important change compared to earlier models of computation, for example when such supporting hardware infrastructure was under the control of the user. Given the ever increasing importance of computing, the shift to cloud computing raises several challenging issues, which include protecting the computation and ancillary resources such as network communication and the stored or produced data. While the potential risks for data isolation and confidentiality in cloud infrastructure are somewhat known, they are obscured by the convenience of the service model and claimed trustworthiness of cloud service providers, backed by reputation and contractual agreements. Ongoing research on cloud infrastructure has the potential to strengthen the security guarantees of computation, data and communication for users of cloud computing. This thesis is part of such research efforts, focusing on assessing the trustworthiness of components of the cloud network infrastructure and cloud computing infrastructure and controlling access to data and network resources and addresses select aspects of cloud computing security. The contributions of the thesis include mechanisms to verify or enforce security in cloud infra- structure. Such mechanisms have the potential to both help cloud service providers strengthen the security of their deployments and empower users to obtain guarantees regarding security aspects of service level agreements. By leveraging functionality of components such as the Trusted Platform Module, the thesis presents mechanisms to provide user guarantees regarding integrity of the com- puting environment and geographic location of plaintext data, as well as to allow users maintain control over the cryptographic keys for integrity and con

关键词： cloud computing infrastructure security trust

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Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems

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HEALTHCARE TECHNOLOGY LETTERS 2016年第1期3卷 34-40页

作者： Menychtas, Andreas Tsanakas, Panayiotis Maglogiannis, Ilias BioAssist SA R&Dept Athens 11524 Greece Natl Tech Univ Athens Dept Elect & Comp Engn Athens Greece Univ Piraeus Dept Digital Syst Piraeus 18532 Greece

The proper acquisition of biosignals data from various biosensor devices and their remote accessibility are still issues that prevent the wide adoption of point-of-care systems in the routine of monitoring chronic patients. This Letter presents an advanced framework for enabling patient monitoring that utilises a cloud computing infrastructure for data management and analysis. The framework introduces also a local mechanism for uniform biosignals collection from wearables and biosignal sensors, and decision support modules, in order to enable prompt and essential decisions. A prototype smartphone application and the related cloud modules have been implemented for demonstrating the value of the proposed framework. Initial results regarding the performance of the system and the effectiveness in data management and decision-making have been quite encouraging.

关键词： cloud computing cloud computing infrastructure data analysis data management decision making decision support modules decision support systems medical signal detection patient monitoring patient-centred decision-making point-of-care systems prototype smartphone application smart phones wireless biosignal collection devices

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Protecting Privacy in the cloud: Current Practices, Future Directions

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COMPUTER 2016年第2期49卷 68-72页

作者： Barhamgi, Mahmoud Bandara, Arosha K. Yu, Yijun Belhajjame, Khalid Nuseibeh, Bashar Univ Lyon 1 F-69622 Villeurbanne France Open Univ Milton Keynes MK7 6AA Bucks England Univ Paris 09 F-75775 Paris 16 France Lero Irish Software Res Ctr Limerick Ireland

cloud computing has become popular because of its benefits to users, which include having access to the resources they need at any time without having to invest in or manage an extensive computing infrastructure. Howe... 详细信息

关键词： cloud computing data protection security of data cloud computing infrastructure privacy protection security concerns cloud computing Data privacy Encryption Medical services Privacy cloud Cover cloud encryption privacy

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Security Issues in cloud computing for Healthcare 3

Security Issues in Cloud Computing for Healthcare

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3rd International Conference on computing for Sustainable Global Development (INDIACom)

作者： Daman, Repu Tripathi, Manish M. Mishra, Saroj K. Sanjay Gandhi Post Grad Inst Med Sci Sch Telemed & Biomed Informat Lucknow Uttar Pradesh India Integral Univ Dept Comp Sci & Engn Dewa Rd Lucknow Uttar Pradesh India

ISBN: (纸本)9789380544199

ICT infrastructure in healthcare domain is improved with the advancement of technology. Health data consist multi-format data as it has text reports, MRI, CT-SCAN images, & pathological slides. Healthcare domain has a large volume of data which is archived as Electronic Health Record (EHR) and it has to he updated frequently. The data of the patients has to he available whenever and wherever necessary in the future course of treatment as patient history. Such a huge archival of data in the hospital needs Skilled manpower, Information and Communication Technology (ICT) and Civil infrastructure and its recurring maintenance cost. cloud technology thus provides the necessary infrastructure as pay per usage model and when used in healthcare sector lowers the cost of storage, processing and updating infrastructure with minimum cost. Data of patients which are confidential and private in nature can he stored in cloud by selecting appropriate deployment models as different models have different levels of security.

关键词： Telehealthcare cloud computing infrastructure security in healthcare

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Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations

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BMC BIOINFORMATICS 2016年第1期17卷 292-292页

作者： Lee, Aaron Y. Lee, Cecilia S. Van Gelder, Russell N. Univ Washington Sch Med Dept Ophthalmol Box 359608325 Ninth Ave Seattle WA 98104 USA Univ Washington Sch Med Dept Biol Struct Box 359608325 Ninth Ave Seattle WA 98104 USA Univ Washington Sch Med Dept Pathol Box 359608325 Ninth Ave Seattle WA 98104 USA

Background: Next generation sequencing technology has enabled characterization of metagenomics through massively parallel genomic DNA sequencing. The complexity and diversity of environmental samples such as the human gut microflora, combined with the sustained exponential growth in sequencing capacity, has led to the challenge of identifying microbial organisms by DNA sequence. We sought to validate a Scalable Metagenomics Alignment Research Tool (SMART), a novel searching heuristic for shotgun metagenomics sequencing results. Results: After retrieving all genomic DNA sequences from the NCBI GenBank, over 1 x 10(11) base pairs of 3.3 x 10(6) sequences from 9.25 x 10(5) species were indexed using 4 base pair hashtable shards. A MapReduce searching strategy was used to distribute the search workload in a computing cluster environment. In addition, a one base pair permutation algorithm was used to account for single nucleotide polymorphisms and sequencing errors. Simulated datasets used to evaluate Kraken, a similar metagenomics classification tool, were used to measure and compare precision and accuracy. Finally using a same set of training sequences we compared Kraken, CLARK, and SMART within the same computing environment. Utilizing 12 computational nodes, we completed the classification of all datasets in under 10 min each using exact matching with an average throughput of over 1.95 x 10(6) reads classified per minute. With permutation matching, we achieved sensitivity greater than 83 % and precision greater than 94 % with simulated datasets at the species classification level. We demonstrated the application of this technique applied to conjunctival and gut microbiome metagenomics sequencing results. In our head to head comparison, SMART and CLARK had similar accuracy gains over Kraken at the species classification level, but SMART required approximately half the amount of RAM of CLARK. Conclusions: SMART is the first scalable, efficient, and rapid metagenomics c

关键词： Simulated Dataset Computational Node Human Microbiome Project MapReduce Framework cloud computing infrastructure

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A Framework for Measuring the Impact and Effectiveness of the NEES Cyberinfrastructure for Earthquake Engineering 6

A Framework for Measuring the Impact and Effectiveness of th...

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6th IEEE International Conference on cloud computing Technology and Science (cloudCom)

作者： Hacker, Thomas Magana, Alejandra J. Purdue Univ Comp & Informat Technol W Lafayette IN 47907 USA Purdue Univ Comp & Informat Technol & Engn Educ W Lafayette IN 47907 USA

ISBN: (纸本)9781479940936

Many cyberinfrastructure and cloud computing systems have been developed and deployed over the past decade. Although use metrics are collected by many of these systems, there is not a clear link from these metrics to the ultimate effectiveness and impact of these systems on science communities. This paper describes a framework we developed that seeks to provide context for use and impact metrics to facilitate understanding of how these systems are used and ultimately adopted by science and engineering communities. We use this framework to present metrics of use, impact, and effectiveness collected from the NEES cyberinfrastructure.

关键词： Cyberinfrastructure cloud computing infrastructure assessment earthquake engineering experimental data

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On Load Balancing and Resource Allocation in cloud Services 22

On Load Balancing and Resource Allocation in Cloud Services

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22nd Mediterranean Conference on Control and Automation (MED)

作者： Leontiou, Nikolaos Dechouniotis, Dimitrios Athanasopoulos, Nikolaos Denazis, Spyros Univ Patras Elect & Comp Engn Dept Patras Greece Eindhoven Univ Technol Elect Engn Dept Eindhoven Netherlands

ISBN: (纸本)9781479959013

Service providers must guarantee high quality of service (QoS) for each web application in a data center and simultaneously achieve optimal utilization of their infrastructure. Meeting the Service Level Objectives (SLOs), such as response time in a dynamic environment with a dense load and varying capacity, and simultaneously minimizing the energy consumption of the data center is an open research problem. This paper presents a control framework that addresses both problems of load balancing and resource allocation of consolidated web services in cloud computing infrastructure. The proposed approach aims at succeeding the customer requirements described in a Service Level Agreement (SLA) while maximizing server utilization. A hierarchical two-layer controller is established. The local (lower) level controllers determine the capacity and admitted workload of Virtual Machines (VMs), which correspond to a set of feasible operating points with performance guarantee. The global (upper) level decides the number and topology of active VMs that serve the total service demand and activates only the minimum number of servers. The cooperation of the two control layers ensures the system stability against the fluctuations of incoming requests and the system constraints.

关键词： Web services cloud computing computer centres contracts control engineering computing level control quality of service resource allocation virtual machines QoS SLA SLO active VM cloud computing infrastructure cloud services consolidated Web services control layers data center dense load dynamic environment global level controllers hierarchical two-layer controller load balancing local level controllers open research problem operating points performance guarantee response time server utilization maximization service level agreement service level objectives service providers varying capacity Admission control Optimization Resource management Servers Time factors Time measurement

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