Source-linked AI summary
Security and Privacy Issues in Cloud Computing
Jaydip Sen
TL;DR
Cloud computing raises security, privacy, availability, interoperability, and control challenges as organizations move services and data into provider-managed environments. The chapter describes cloud models and examines these challenges, standardization activities, mitigation proposals, and emerging trends. It reports that cloud architectures can mitigate some existing threats, while practical cryptographic tools and provider outages remain important constraints.
Problem
Cloud computing creates challenges involving security, privacy, availability, interoperability, and users’ control over data and application processes.
Method
The chapter describes cloud service and deployment models, analyzes regulatory, security, and privacy challenges, and presents standardization activities and mitigation proposals.
Results
Cloud architectures can mitigate some existing threats through centralized security management, standardized interfaces, and broader provider-scale monitoring.
Takeaways & Limitations
Cloud adoption requires attention to data protection, identity management, policy integration, service availability, contingency planning, and provider due diligence.
Takeaways & Limitations
Cryptographic tools for cloud computing still require further research to become sufficiently practical.
Abstract
from arXiv · showhide
Cloud computing transforms the way information technology (IT) is consumed and managed, promising improved cost efficiencies, accelerated innovation, faster time-to-market, and the ability to scale applications on demand (Leighton, 2009). According to Gartner, while the hype grew exponentially during 2008 and continued since, it is clear that there is a major shift towards the cloud computing model and that the benefits may be substantial (Gartner Hype-Cycle, 2012). However, as the shape of the cloud computing is emerging and developing rapidly both conceptually and in reality, the legal/contractual, economic, service quality, interoperability, security and privacy issues still pose significant challenges. In this chapter, we describe various service and deployment models of cloud computing and identify major challenges. In particular, we discuss three critical challenges: regulatory, security and privacy issues in cloud computing. Some solutions to mitigate these challenges are also proposed along with a brief presentation on the future trends in cloud computing deployment.
ARCHICTECTURE OF CLOUD COMPUTING
Cloud computing architecture abstracts pooled infrastructure into service-oriented, elastic resources delivered through SaaS, PaaS, and IaaS models. The chapter frames these models alongside deployment choices and ongoing uncertainty about how cloud differs from traditional computing.
- Architectural context: Cloud’s abstraction and rapid evolution create confusion about its relationship to existing technologies and traditional security practices.The chapter states that cloud is neither wholly revolutionary nor merely a simple continuation of prior models.
- Cloud characteristics: Five characteristics distinguish cloud computing: infrastructure abstraction, resource democratization, service-oriented architecture, elasticity, and utility-based consumption.These characteristics connect cloud services to pooled access, automation, dynamic scaling, and metered usage.
- Cloud characteristics: Cloud architecture abstracts computation, network, and storage resources from applications, pooling them for service delivery across tenancy models.Physical processing, transmission, and storage locations become largely opaque to applications and services.
- Service delivery models: The SPI model comprises Software as a Service, Platform as a Service, and Infrastructure as a Service.SaaS provides complete applications, PaaS provides development environments, and IaaS provides fundamental computing and storage resources.
- Service delivery models: IaaS forms the foundation of the cloud service stack, PaaS builds on IaaS, and SaaS builds on PaaS.The chapter depicts these dependencies in its cloud layer architecture.
- Deployment models: Cloud services can be deployed through public, private, managed, and hybrid models, with cloud integrators helping organizations select an appropriate path.Public clouds generally use provider-owned, off-premises infrastructure shared among customers, while deployment models differ in management and service availability.
CLOUD COMPUTING SECURITY AND PRIVACY ISSUES
Cloud computing introduces security and privacy challenges across data protection, authentication, customer separation, legal compliance, and incident response. These challenges arise from shared infrastructure, distributed control, evolving threats, and limited transparency, although cloud architectures can also mitigate some conventional risks.
- Strong authentication underpins cloud access control because cloud resources and data are accessible over the Internet.
- Customer separation commonly relies on virtual machines and hypervisors, with hardware verification helping protect virtual and network isolation.
- Cloud threats include familiar risks with altered dynamics, including credential compromise, insider misuse, and vulnerabilities associated with centralized access.
- Centralized management, standardized interfaces, and provider scale can improve monitoring and mitigate risks such as loss or theft of local devices.
- Cloud adoption creates new attack surfaces and interfaces, while shared resources introduce threats from other tenants and compromised control mechanisms.
- Encryption and appropriate deletion are important safeguards when organizations entrust data to cloud services.
- Third-party control creates legal, regulatory, security, and privacy challenges because compliance may require transparency into provider-held data and applications.
SOME PROPOSITIONS FOR SECURITY IN CLOUD COMPUTING
The section proposes security approaches that limit cloud-provider control over user data without curtailing cloud capabilities. It discusses information-centric security, remote attestation, privacy-enhanced business intelligence, and cryptographic safeguards.
- Information-centric security: Information-centric security protects data from within by making it self-describing and self-defending across environments.Data consults its policy when accessed and attempts to recreate a verified trustworthy environment.
- High-assurance remote server attestation: High-assurance remote server attestation addresses cloud transparency by enabling auditing of data handling and an unalterable audit trail for abuse or leakage.The section contrasts this approach with providers’ manual auditing procedures such as SAS-70.
- Privacy-enhanced business intelligence: Privacy-enhanced business intelligence uses encryption to retain data control, but encrypted data complicates searching and indexing.Traditional randomized encryption schemes make keyword-based document search impossible.
- Cryptographic safeguards: Cryptographic tools can support controlled data sharing, anomaly detection on encrypted data, and proofs that storage servers correctly retain client data.The section notes that further research is needed to make these tools sufficiently practical for cloud deployment.
STANDARDIZATION ACTIVITIES IN CLOUD COMPUTING
The section surveys standards organizations and their security and privacy guidance for cloud deployments. It emphasizes access control, encryption, data sanitization, availability, incident response, governance, and coordinated industry standards.
- NIST Cloud Standards: NIST standards address public-cloud threats, technology risks, safeguards, and defense mechanisms for providers and consumers.NIST frames many cloud security and privacy issues as known problems appearing in a new technological setting.
- Industry standardization: Standards activities also cover governance, compliance, trust, and industry coordination among customers, providers, and technology suppliers.TM Forum’s initiative includes business guidance, service-quality metrics, and technical agreements developed with other industry groups.
- NIST Cloud Standards: NIST recommends access controls and encryption to keep data from unauthorized users, with protection required at rest, in transit, and in use.Cryptographic security depends on proper control of keys, while current key-management practices may not scale well to cloud environments.
- NIST Cloud Standards: Public-cloud data may be collocated or commingled with other consumers’ data, requiring controlled access and appropriate sanitization throughout the system lifecycle.These concerns apply to data stored in shared environments and migrated within or between clouds.
- NIST Cloud Standards: Cloud availability is threatened by denial-of-service attacks, equipment outages, and natural disasters, while providers play a vital role in incident response.Cloud services can experience unplanned downtime and performance slowdowns despite architectures designed for reliability and availability.
EMERGING TRENDS IN SECURITY AND PRIVACY IN CLOUD COMPUTING
The section identifies emerging security and privacy challenges created by multidomain, heterogeneous, and shared cloud environments. It highlights identity management, policy integration, service composition, data protection, governance, metrics, compliance, and system complexity.
- Multidomain cloud environments: Cloud environments span domains with different security, privacy, and trust requirements, making secure service composition and orchestration important.Service-oriented architectures can facilitate multidomain formation through composition and orchestration.
- Authentication and identity management: Identity management must protect users and services across interoperating systems, but differing identity tokens, protocols, tenancy, and jurisdictions complicate protection.Password-based authentication also has inherited limitations and significant risks.
- Access control and accounting: Cloud domains require fine-grained access control that can capture dynamic, contextual, attribute-based, or credential-based requirements while enforcing least privilege.Access-control services may also need to integrate privacy-protection requirements.
- Trust management and policy integration: Different providers’ security and privacy policies can produce breaches during integration even when individual domain policies have been verified.The section calls for careful policy management and trust frameworks for dynamic, transient, and intensive cross-domain interactions.
- Privacy and data protection: Shared infrastructures increase privacy risks, requiring transparency, privacy mechanisms, and balancing of data provenance with privacy.Provenance can support traceback, auditing, and history-based access control, but this balance remains a critical research challenge.
- Organizational and operational challenges: Cloud adoption changes security management through shared governance, dependence on external entities, unresolved complexity, and cross-border privacy and compliance requirements.Large-scale heterogeneous systems increase the need for self-monitoring, self-healing, and self-configuring capabilities.
CONCLUSION
Cloud computing is presented as a network-hosted service model enabled by advances in computing, communication, and networking. Despite cost-efficiency and flexibility, persistent concerns continue to impede adoption, while many challenges are older problems appearing in a new setting.
- CONCLUSION: Cloud computing depends on a server firm hosting services for network-connected users, with fast and reliable connectivity required for its existence.The paper notes that definitions of cloud computing vary across ICT contexts.
- CONCLUSION: Cost-efficiency and flexibility make cloud computing enticing, but persistent concerns are impeding momentum and may compromise its vision as an IT procurement model.The paper identifies significant concerns despite cloud computing’s business and technical advantages.
- CONCLUSION: Many cloud-adoption issues are essentially older trust, regulatory, control, governance, and virtualization problems in a new setting, though they may be more acute.The paper connects these issues to corporate partnerships, offshore outsourcing, open-source software, and virtual-machine attacks.
KEY TERMS AND DEFINITIONS
Cloud computing is presented through its deployment models, service models, and supporting security concepts. The definitions distinguish ownership, control, functionality, infrastructure, virtualization, and security mechanisms.
- Deployment models: Four deployment models are identified: private, public, community, and hybrid clouds, differing in ownership, access, management, and sharing arrangements.Private clouds serve one organization; public clouds serve the public; community clouds serve organizations with shared concerns; hybrid clouds combine public and private offerings.
- Service models: Cloud services are categorized as SaaS for applications, PaaS for application development environments, and IaaS for on-demand computing and storage.These models shift progressively from complete applications to platforms and fundamental computing resources.
- Virtualization: Virtual machines provide software-based computing environments, while hypervisors allocate shared physical resources and isolate guest operating systems.The hypervisor controls processors and resources so multiple operating systems can share one hardware host without disrupting one another.
- Security concepts: Security-related concepts include TPM-protected key operations, side-channel attacks based on physical leakage, and homomorphic computation over ciphertext.TPMs protect keys during vulnerable operations, whereas side-channel attacks exploit timing, power, electromagnetic, or sound information.
- Cloud security and interoperability concepts: SAML exchanges authentication and authorization assertions, AMQP supports secure reliable messaging, identity management controls user information and permissions, and WSDL describes network-service endpoints.Together, these concepts address identity, authorization, messaging, and service description across distributed systems.
ADDITIONAL READINGS
The additional readings compile prior work spanning cloud definitions, architectures, virtualization, security, privacy, identity, economics, service management, and deployment.
- Cloud architecture and deployment: The bibliography includes research on virtualization, private and hybrid infrastructure, federated clouds, distributed clouds, and multi-cloud deployment.Referenced work covers Xen virtualization, virtual infrastructure management, RESERVOIR, distributed clouds, and computing clusters across multiple clouds.
- Security and privacy: Security and privacy readings address secure coprocessors, encrypted-data queries, privacy-aware processing, accountability, identity management, trust, and virtual-environment security.The listed works also include data security, cloud-security concerns, privacy risks, privacy-by-design, and privacy protection through accountability.
- Service management and implementation: Other references cover data-management hardware, adaptive SLA management, open cloud principles, platform services, multi-tenant architectures, and cloud-ready virtual machines.These readings broaden the list toward service quality, interoperability, platform design, and operational implementation.
- Foundations and adoption: Several references examine cloud computing foundations, definitions, service models, and economic or enterprise adoption considerations.These include overviews, cloud-definition studies, SaaS relationships, cloud economics, hosted informatics, and enterprise initiatives.