1,899 research outputs found
Security and Privacy Issues in Cloud Computing
Cloud computing transforming the way of information technology (IT) for consuming and managing, promising improving cost efficiencies, accelerate innovations, faster time-to-market and the ability to scale applications on demand (Leighton, 2009). According to Gartner, while the hype grew ex-ponentially 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
TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone
The rapid evolution of Internet-of-Things (IoT) technologies has led to an
emerging need to make it smarter. A variety of applications now run
simultaneously on an ARM-based processor. For example, devices on the edge of
the Internet are provided with higher horsepower to be entrusted with storing,
processing and analyzing data collected from IoT devices. This significantly
improves efficiency and reduces the amount of data that needs to be transported
to the cloud for data processing, analysis and storage. However, commodity OSes
are prone to compromise. Once they are exploited, attackers can access the data
on these devices. Since the data stored and processed on the devices can be
sensitive, left untackled, this is particularly disconcerting.
In this paper, we propose a new system, TrustShadow that shields legacy
applications from untrusted OSes. TrustShadow takes advantage of ARM TrustZone
technology and partitions resources into the secure and normal worlds. In the
secure world, TrustShadow constructs a trusted execution environment for
security-critical applications. This trusted environment is maintained by a
lightweight runtime system that coordinates the communication between
applications and the ordinary OS running in the normal world. The runtime
system does not provide system services itself. Rather, it forwards requests
for system services to the ordinary OS, and verifies the correctness of the
responses. To demonstrate the efficiency of this design, we prototyped
TrustShadow on a real chip board with ARM TrustZone support, and evaluated its
performance using both microbenchmarks and real-world applications. We showed
TrustShadow introduces only negligible overhead to real-world applications.Comment: MobiSys 201
Multi-Tenant Cloud FPGA: A Survey on Security
With the exponentially increasing demand for performance and scalability in
cloud applications and systems, data center architectures evolved to integrate
heterogeneous computing fabrics that leverage CPUs, GPUs, and FPGAs. FPGAs
differ from traditional processing platforms such as CPUs and GPUs in that they
are reconfigurable at run-time, providing increased and customized performance,
flexibility, and acceleration. FPGAs can perform large-scale search
optimization, acceleration, and signal processing tasks compared with power,
latency, and processing speed. Many public cloud provider giants, including
Amazon, Huawei, Microsoft, Alibaba, etc., have already started integrating
FPGA-based cloud acceleration services. While FPGAs in cloud applications
enable customized acceleration with low power consumption, it also incurs new
security challenges that still need to be reviewed. Allowing cloud users to
reconfigure the hardware design after deployment could open the backdoors for
malicious attackers, potentially putting the cloud platform at risk.
Considering security risks, public cloud providers still don't offer
multi-tenant FPGA services. This paper analyzes the security concerns of
multi-tenant cloud FPGAs, gives a thorough description of the security problems
associated with them, and discusses upcoming future challenges in this field of
study
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A survey on security issues and solutions at different layers of Cloud computing
Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since Cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as threats introduced by newer architectures raise many security and privacy concerns. In this paper, we survey the factors affecting Cloud computing adoption, vulnerabilities and attacks, and identify relevant solution directives to strengthen security and privacy in the Cloud environment
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