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检索条件"任意字段=10th IEEE Conference on Big Data Security on Cloud, BigDataSecurity 2024"

共 167 条记录，以下是41-50 订阅

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cloud Standards in Comparison Are New security Frameworks Improving cloud security? 10

Cloud Standards in Comparison Are New Security Frameworks Im...

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10th ieee International conference on cloud Computing (cloud)

作者： Di Giulio, Carlo Kamhoua, Charles Campbell, Roy H. Sprabery, Read Kwiat, Kevin Bashir, Masooda N. Univ Illinois Urbana IL 61801 USA Air Force Res Lab Wright Patterson AFB OH USA

ISBN: (纸本)9781538619933

the increasing relevance of information assurance in cloud computing has forced governments and stakeholders to turn their attention to Information Technology (IT) security certifications and standards. the introduction of new frameworks such as FedRAMP in the US and C5 in Germany is aimed to raise the level of protection against threats and vulnerabilities unique to cloud computing. However, our in-depth and systematic analyses reveals that these new standards do not bring a radical change in the realm of certifications. Results also shows that the newly developed standards share much of their basis with older, more consolidated standards such as the ISO/IEC 27001 and hence the need for determining the added value. In this study, we provide an overview of ISO/IEC 27001, C5, and FedRAMP while examining their completeness and adequacy in addressing current threats to cloud assurance. We question the level of protection they offer by comparing these three certifications alongside each other. We identify weaknesses in the three frameworks and highlight necessary improvements to meet the security requirements indispensable in relation to the current threat landscape.

关键词： FedRAMP ISO C5 Certification Standard Framework cloud Privacy security

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cloud security via Virtualized Out-of-band Execution and Obfuscation 10

Cloud Security via Virtualized Out-of-band Execution and Obf...

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10th ieee International conference on cloud Computing (cloud)

作者： Mumme, Dean C. Wallace, Brooke McGraw, Robert RAM Labs Inc San Diego CA 92108 USA

ISBN: (纸本)9781538619933

We describe a multi-layer security system called "Application Protected Execution" (APEx) that has an "In-VM monitoring" functionality protected by out-of-band memory created within a Virtual Machine (VM) on cloud-based nodes. the In-VM monitor functionality protects execution of security related software and is triggered by hooked system events to avoid context switched overhead. the APEx system is a robust defense layer that can protect a wide variety of security modules, such as security monitoring and policy enforcement. the paper also describes an application that employs APEx to protect user space software from reverse engineering and Return Oriented Programming (ROP) attacks. the application, "Code Obfuscation Engine" (CObE) performs code stirring and utilizes system calls and out-of-band memory to obfuscate program flow and protect the return stack. Utilizing APEx, it is able to jump into out-of-band memory for execution of sensitive code areas, calculation of jump points and return addresses. this protects program flow against hijacking-particularly buffer overflows and ROP attacks. CObE transforms a binary file for use with APEx protected execution directly and does not require source code.

关键词： cloud obfuscation protected execution anti-reverse engineering anti-data exfiltration cod stirring out-of-band

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A Survey on Acquiring Integrity of Shared data with Effective user Termination in the cloud 10

A Survey on Acquiring Integrity of Shared Data with Effectiv...

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10th International conference on Intelligent Systems and Control (ISCO)

作者： Shyamambika, N. thillaiarasu, N. SNS Coll Engn Dept Comp Sci & Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781467378079

cloud computing is a term that refers Internet based development and services. these services are remotely hosted, ubiquitous and commoditized. the problem within the cloud computing includes security, policy access and integrity i.e. data or information correctness. cloud service suppliers could hoodwink verifiers concerning the incorrectness of shared information so as to save the reputation of its data services and avoid losing money on its data services. this paper, we project a new public auditing mechanism for shared data with economical user revocation within the cloud using a third Party Auditor. Once the user within the group is revoked, we enable the semi-trusted cloud to re-sign blocks that were signed by the revoked user with proxy signatures. Experimental results show that the cloud can improve the potency of user revocation, and existing users in the group can save a big quantity of computation and communication resources during user revocation. thus we build use of login with secret key in each time conjointly a security question for the user.

关键词： cloud Computing third Party Auditor cloud security cloud service providers

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An Overview of cloud Middleware Services for Interconnection of Healthcare Platforms

An Overview of Cloud Middleware Services for Interconnection...

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10th International conference on Communications (COMM)

作者： Ochian, Adelina Suciu, George Fratu, Octavian Voicu, Carmen Suciu, Victor Beia Consult Int Res Dept Bucharest Romania Univ Politehn Bucuresti Telecommunicat Dept Bucharest Romania

ISBN: (纸本)9781479923854

Using heterogeneous clouds has been considered to improve performance of big-data analytics for healthcare platforms. However, the problem of the delay when transferring big-data over the network needs to be addressed. the purpose of this paper is to analyze and compare existing cloud computing environments (PaaS, IaaS) in order to implement middleware services. Understanding the differences and similarities between cloud technologies will help in the interconnection of healthcare platforms. the paper provides a general overview of the techniques and interfaces for cloud computing middleware services, and proposes a cloud architecture for healthcare. cloud middleware enables heterogeneous devices to act as data sources and to integrate data from other healthcare platforms, but specific APIs need to be developed. Furthermore, security and management problems need to be addressed, given the heterogeneous nature of the communication and computing environment. the present paper fills a gap in the electronic healthcare register literature by providing an overview of cloud computing middleware services and standardized interfaces for the integration with medical devices.

关键词： cloud big data middleware healthcare security standards

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security with Privacy - A Research Agenda 10

Security with Privacy - A Research Agenda

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10th ieee International conference on Collaborative Computing Networking Applications and Worksharing

作者： Bertino, Elisa Samanthula, Bharath K. Purdue Univ Cyber Ctr 305 N Univ St W Lafayette IN 47907 USA Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

ISBN: (纸本)9781631900433

data is one of the most valuable assets for organization. It can facilitate users or organizations to meet their diverse goals, ranging from scientific advances to business intelligence. Due to the tremendous growth of data, the notion of big data has certainly gained momentum in recent years. cloud computing is a key technology for storing, managing and analyzing big data. However, such large, complex, and growing data, typically collected from various data sources, such as sensors and social media, can often contain personally identifiable information (PII) and thus the organizations collecting the big data may want to protect their outsourced data from the cloud. In this paper, we survey our research towards development of efficient and effective privacy-enhancing (PE) techniques for management and analysis of big data in cloud computing. We propose our initial approaches to address two important PE applications: (i) privacy-preserving data management and (ii) privacy-preserving data analysis under the cloud environment. Additionally, we point out research issues that still need to be addressed to develop comprehensive solutions to the problem of effective and efficient privacy-preserving use of data.

关键词： big data cloud computing data privacy security of data PE applications PE techniques PII big data analysis business intelligence cloud environment data sources outsourced data personally identifiable information privacy-enhancing techniques privacy-preserving data analysis privacy-preserving data management research agenda security social media big data Cancer Electronic mail Encryption Media Privacy big data cloud Computing Business intelligence Social Media data sources data security electronic mail data privacy Privacy cryptography Personally Identifiable Information security

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RT-SANE : Real Time security Aware Scheduling on the Network Edge 17

<i>RT</i>-<i>SANE</i> : Real Time Security Aware Scheduling ...

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10th International conference on Utility and cloud Computing (UCC) / 4th International conference on big data Computing, Applications and Technologies (BDCAT)

作者： Singh, Anil Auluck, Nitin Rana, Omer Jones, Andrew Nepal, Surya Indian Inst Technol Dept Comp Sci & Engn Ropar India Cardiff Univ Sch Comp Sci & Informat Cardiff Wales CSIRO Distributed Syst Secur Grp Sydney NSW Australia

ISBN: (纸本)9781450351492

Edge computing extends a traditional cloud data centre model often by using a microdata centre (mdc) at the network edge for computation and storage. As these edge devices are in proximity to users, this results in improved application response times and reduces load on the cloud data center (cdc). In this paper, we propose a security and deadline aware scheduling algorithm called RT-SANE (Real-Time security Aware scheduling on the Network Edge). Applications with stringent privacy requirements are scheduled on an mdc closer to the user, whereas others can be scheduled on a cdc or a remotemdc. We also discuss how application performance and network latency influence the choice of an mdc or cdc. the intuition is that due to a lower communication latency between the user & the mdc, more applications are able to meet their deadlines when run on themdc. Conversely, applications with loose deadlines may be executed on a cdc. In order to facilitate this, we also propose a distributed orchestration architecture and protocol that is both performance & security aware. Simulation results show that RT-SANE offers superior real-time performance compared to a number of other scheduling policies in an Edge computing environment, while meeting application privacy requirements.

关键词： Internet of things IoT Fog Computing Edge Computing cloud omputing cloudlets Micro data Centers cloud data Center Distributed Orchestration Real-Time security

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Privacy-Preserving Multi-Party Clustering: An Empirical Study 10

Privacy-Preserving Multi-Party Clustering: An Empirical Stud...

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10th ieee International conference on cloud Computing (cloud)

作者： Silva, Arlei Bellala, Gowtham Univ Calif Santa Barbara Santa Barbara CA 93106 USA C3 IoT Redwood City CA USA

ISBN: (纸本)9781538619933

Enterprises are transitioning towards data-driven business processes. there are numerous situations where multiple parties would like to share data towards a common goal, if it were possible to simultaneously protect the privacy and security of the individuals and organizations described in the data. Motivated by the increasing demands for data privacy, this paper provides the first comprehensive evaluation of privacy-preserving multiparty computation. As a case study, we consider the clustering task, which consists of grouping a set of points based on their similarity. Our goal is to understand the trade-offs involved when different parties want to collaboratively perform a computation while preserving their data privacy. In particular, we study the implications of centralized and distributed privacy-preserving solutions (such as encryption and data perturbation) on clustering quality, privacy and computational performance. Our results offer a new perspective on multi-party computation for both service providers and users, highlighting the drawbacks of these approaches and opening opportunities for future research.

关键词： data privacy Distributed databases Clustering algorithms Additives Organizations

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Compliance-Aware Provisioning of Containers on cloud 10

Compliance-Aware Provisioning of Containers on Cloud

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10th ieee International conference on cloud Computing (cloud)

作者： Bahrami, Mehdi Malvankar, Abhishek Budhraja, Karan K. Kundu, Chinmay Singhal, Mukesh Kundu, Ashish Fujitsu Labs Amer Sunnyvale CA 94085 USA IBM Watson Hlth Yorktown Hts NY USA Univ Maryland Baltimore Cty Baltimore MD 21228 USA Univ Calif Merced Cloud Lab Merced CA USA IBM Thomas J Watson Res Ctr Yorktown Hts NY USA

ISBN: (纸本)9781538619933

Deploying applications in containers has several advantages, such as rapid development, portability across different machines, and simplified maintenance. In a cloud computing environment, container scheduling algorithms coordinate with different aspects of physical systems, such as memory allocation for tasks of different users. the scheduled containers on a host may process sensitive data. For instance, containers may process healthcare information. In that case, diverse cloud environments with different components and subsystems may lead to a potential personal health information leakage and violation of data privacy. In this paper, we introduce a novel compliance-aware analysis model for provisioning containers in the cloud, that provides a HIPAA compliance model. the proposed method dynamically analyzes different requirements of HIPAA complaint containers (HIPAA parameters) and their associated risk values. Based on the risk optimization of the compliance parameters for data security and data privacy of the containers, our proposed method determines scheduling of containers that offer the lowest risk to healthcare data and to the compliance posture of the container. the model describes the resources that are associated with high-level risks and provides real-time resource recommendation for a container scheduler to decrease the risk of HIPAA compliance violation.

关键词： compliance cloud computing privacy security container

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Autonomic and Integrated Management for Proactive Cyber security (AIM-PSC) 10

Autonomic and Integrated Management for Proactive Cyber Secu...

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10th International conference on Utility and cloud Computing (UCC) / 4th International conference on big data Computing, Applications and Technologies (BDCAT)

作者： Montero, Fabian De La Pena Hariri, Salim AVIRTEK INC 1236 E Grant Rd Tucson AZ 85719 USA Univ Arizona 1230 E Speedway Blvd Tucson AZ 85719 USA

ISBN: (纸本)9781450351959

the complexity, multiplicity, and impact of cyber-attacks have been increasing at an alarming rate despite the significant research and development investment in cyber security products and tools. the current techniques to detect and protect cyber infrastructures from these smart and sophisticated attacks are mainly characterized as being ad hoc, manual intensive, and too slow. We present in this paper AIM-PSC that is developed jointly by researchers at AVIRTEK and the University of Arizona Center for cloud and Autonomic Computing that is inspired by biological systems, which can efficiently handle complexity, dynamism and uncertainty. In AIM-PSC system, an online monitoring and multi-level analysis are used to analyze the anomalous behaviors of networks, software systems and applications. By combining the results of different types of analysis using a statistical decision fusion approach we can accurately detect any types of cyber-attacks with high detection and low false alarm rates and proactively respond with corrective actions to mitigate their impacts and stop their propagation.

关键词： Automation Behavior Analysis Cyber security data Analytics Network security Information Technology Machine Learning

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Integrating Continuous security Assessments in Microservices and cloud Native Applications 17

Integrating Continuous Security Assessments in Microservices...

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10th International conference on Utility and cloud Computing (UCC) / 4th International conference on big data Computing, Applications and Technologies (BDCAT)

作者： Torkura, Kennedy A. Sukmana, Muhammad I. H. Meinel, Christoph Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9781450351492

cloud Native Applications (CNA) consists of multiple collaborating microservice instances working together towards common goals. these microservices leverage the underlying cloud infrastructure to enable several properties such as scalability and resiliency. CNA are complex distributed applications, vulnerable to several security issues affecting microservices and traditional cloud-based applications. For example, each microservice instance could be developed with different technologies e.g. programming languages and databases. this diversity of technologies increases the chances for security vulnerabilities in microservices. Moreover, the fast-paced development cycles of CNA increases the probability of insufficient security tests in the development pipelines, and consequent deployment of vulnerable microservices. Furthermore, cloud native environments are ephemeral, microservices are dynamically launched and de-registered, this factor creates a discoverability challenge for traditional security assessment techniques. Hence, security assessments in such environments require new approaches which are specifically adapted and integrated to CNA. In fact, such techniques are to be cloud native i.e. well integrated into the cloud's fabric. In this paper, we tackle the above-mentioned challenges through the introduction of a novel security Control concept - the security Gateway. To support the security Gateway concept, two other concepts are proposed: dynamic document store and security health endpoints. We have implemented these concepts using cloud-native design patterns and integrated them into the CNA workflow. Our experimental evaluations validate the efficiency of our proposals, the time overhead due to the security gateway is minimal and the vulnerability detection rate surpasses that of traditional security assessment approaches. Our proposal can therefore be employed to secure CNA and microservice-based implementations.

关键词： security Assessment Microservices Vulnerability Detection cloud Native Applications Vulnerability Assessment Application security

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