Oasis

Owusu, Emmanuel; Guajardo, Jorge; McCune, Jonathan M.; Newsome, James; Perrig, Adrian; Vasudevan, Amit

doi:10.1145/2508859.2516678

Cited by 40 publications

(7 citation statements)

References 38 publications

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“…Every bitcoin or different crypto currency dealing is given a blockchain record that's available to the general public. Additionally, individual users might synchronize their computers with a speci c block chain, receiving updates as new transactions happen [11,12,13,14,15]. Bitcoin, Ethereum, and other public blockchains are well-known and self-explanatory.…”

Section: Transactional Info Like the Date Time And Quantity Of A Salementioning

confidence: 99%

A Novel Alm Based Security Framework for Block Chain in Healthcare Platform

Anjelin,

Kumar

2024

Preprint

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Blockchain technology may be a recent advancement and offers a ground-breaking technique for keeping the knowledge for an extended time and completing transactions like knowledge management, knowledge handling, performing arts functions, associated establishing trust in an open atmosphere. Most of them are considering block chain as a technology innovation significantly for cryptography and cyber security with systems like bitcoin, IoT, sensible Grids and etc., albeit this technology proofs its name and has received ton and ton of growing interests in multiple dimensions, the safety and security of the block chains are still in analysis whereas deploying block chain in versatile domains and environments. This work elaborates a comprehensive summary of the safety and privacy of block chain from knowledge management perspective. attention platform is employed for implementation and testing. Around 20,000 records are being taken and valid mistreatment the projected algorithmic program. Initially, a block chain is created using distributed information, which tracks an ever-changing list of trading records by organising them into a hierarchic chain of block. Because attention knowledge necessitates greater security, a peer-to-peer overlay network is used to create and maintain the block chain, which is secured through the intelligent and suburbanized use of cryptography with crowd computing. ALM algorithmic program projected has been increased with applicable knowledge possession by providing 2 issue authentications with an accuracy of 95%.The projected system may be a decentralized system and thence guaranteeing higher knowledge transparency and auditability. Security and privacy properties are being ensured by providing fine grained access management on the highest of the ALM encoding. Hence, Security and privacy problems with current scenario are addressed well with a high-level access management rulesets.

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Section: Transactional Info Like the Date Time And Quantity Of A Salementioning

confidence: 99%

A Novel Alm Based Security Framework for Block Chain in Healthcare Platform

Anjelin,

Kumar

2024

Preprint

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“…Several systems combine hardware-based isolation [37], [46], [59] with trusted system software [17], [28], [36], [38], [54], [58], [69], which is typically a trusted hypervisor. The Flicker [39] approach uses TXT [31] and avoids using a trusted hypervisor by time-partitioning the host machine between trusted and untrusted operation.…”

Section: Related Workmentioning

confidence: 99%

“…We implemented VC3 for the popular Hadoop distribution HDInsight on the Windows operating system. Our implementation is based on the new hardware security mechanisms of Intel SGX, but it could in principle target other secure computing technologies [46]. Experimental results on common benchmarks show that VC3 performs well compared with unprotected Hadoop; VC3's average runtime overhead is negligible for its base security guarantees, 4.5% with write integrity and 8% with read/write integrity.…”

Section: Introductionmentioning

confidence: 99%

VC3: Trustworthy Data Analytics in the Cloud Using SGX

Schuster

Costa

Fournet

et al. 2015

2015 IEEE Symposium on Security and Privacy

485

332

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We present VC3, the first system that allows users to run distributed MapReduce computations in the cloud while keeping their code and data secret, and ensuring the correctness and completeness of their results. VC3 runs on unmodified Hadoop, but crucially keeps Hadoop, the operating system and the hypervisor out of the TCB; thus, confidentiality and integrity are preserved even if these large components are compromised. VC3 relies on SGX processors to isolate memory regions on individual computers, and to deploy new protocols that secure distributed MapReduce computations. VC3 optionally enforces region self-integrity invariants for all MapReduce code running within isolated regions, to prevent attacks due to unsafe memory reads and writes. Experimental results on common benchmarks show that VC3 performs well compared with unprotected Hadoop: VC3's average runtime overhead is negligible for its base security guarantees, 4.5% with write integrity and 8% with read/write integrity.

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“…The architecture relies on new processor extensions and a hardware-based virtualized TPM to support multiple, concurrent, dynamic root-of-trust requests from different VMs. [Owusu et al 2013] propose a new a set of CPU instruction set extension for externally verifiable initiation and execution of an isolated execution environment.…”

Section: 34mentioning

confidence: 99%

“…When access is restricted to trusted staff, i.e., this includes the case in which physical security systems in the Cloud premises are in place (such as cameras, security personel, etc) [Azab et al 2010] [Szefer et al 2011], versus those in which attackers may have physical access to the system [Owusu et al 2013]. -Is physical tamper possible?…”

Section: Threat Models Of the Solutionsmentioning

confidence: 99%

Evolution of Attacks, Threat Models, and Solutions for Virtualized Systems

Sgandurra

Lupu

2016

ACM Comput. Surv.

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Virtualization technology enables Cloud providers to efficiently use their computing services and resources. Even if the benefits in terms of performance, maintenance, and cost are evident, virtualization has also been exploited by attackers to devise new ways to compromise a system. To address these problems, research security solutions have considerably evolved over the years to cope with new attacks and threat models. In this work we review the protection strategies proposed in the literature and show how some of the solutions have been invalidated by new attacks, or threat models, that were previously not considered. The goal is to show the evolution of the threats, and of the related security and trust assumptions, in virtualized systems which have given rise to complex threat models and the corresponding sophistication of protection strategies to deal with such attacks. We also categorize threat models, security and trust assumptions, and attacks against a virtualized system at the different layers, in particular hardware, virtualization, OS, application.

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Oasis

Cited by 40 publications

References 38 publications

A Novel Alm Based Security Framework for Block Chain in Healthcare Platform

A Novel Alm Based Security Framework for Block Chain in Healthcare Platform

VC3: Trustworthy Data Analytics in the Cloud Using SGX

Evolution of Attacks, Threat Models, and Solutions for Virtualized Systems

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