Real-Time Trusted Computing Technology for Xenomai

2017 ◽  
pp. 87-96
Author(s):  
Mingdi Xu ◽  
Xueyuan Gao ◽  
Yang Gao ◽  
Fan Zhang
Keyword(s):  
Real Time ◽  
Trusted Computing ◽  
Computing Technology

scholarly journals eTPM: A Trusted Cloud Platform Enclave TPM Scheme Based on Intel SGX Technology

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3807 ◽  
Author(s):  
Haonan Sun ◽  
Rongyu He ◽  
Yong Zhang ◽  
Ruiyun Wang ◽  
Wai Hung Ip ◽  
...  
Keyword(s):  
Virtual Machines ◽  
Trusted Computing ◽  
Information Leakage ◽  
Research Topic ◽  
Cloud Environment ◽  
Cloud Platform ◽  
Computing Technology ◽  
Security Issues ◽  
Runtime Environment ◽  
Cloud Users

Today cloud computing is widely used in various industries. While benefiting from the services provided by the cloud, users are also faced with some security issues, such as information leakage and data tampering. Utilizing trusted computing technology to enhance the security mechanism, defined as trusted cloud, has become a hot research topic in cloud security. Currently, virtual TPM (vTPM) is commonly used in a trusted cloud to protect the integrity of the cloud environment. However, the existing vTPM scheme lacks protections of vTPM itself at a runtime environment. This paper proposed a novel scheme, which designed a new trusted cloud platform security component, ‘enclave TPM (eTPM)’ to protect cloud and employed Intel SGX to enhance the security of eTPM. The eTPM is a software component that emulates TPM functions which build trust and security in cloud and runs in ‘enclave’, an isolation memory zone introduced by SGX. eTPM can ensure its security at runtime, and protect the integrity of Virtual Machines (VM) according to user-specific policies. Finally, a prototype for the eTPM scheme was implemented, and experiment manifested its effectiveness, security, and availability.

Trends and Technologies in Big Data Processing

2020 ◽  
pp. 17-42
Author(s):  
Amitava Choudhury ◽  
Kalpana Rangra
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Processing ◽  
Real Time ◽  
Computing Technology ◽  
Time Data ◽  
Big Data Processing ◽  
Real Time Data ◽  
Real Time Data Processing

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

A Trustworthy Usage Control Enforcement Framework

2013 ◽  
Vol 5 (3) ◽  
pp. 34-49 ◽  
Author(s):  
Ricardo Neisse ◽  
Alexander Pretschner ◽  
Valentina Di Giacomo
Keyword(s):  
Operating System ◽  
Trusted Computing ◽  
Enterprise Service Bus ◽  
Computing Technology ◽  
Levels Of Abstraction ◽  
Usage Control ◽  
Design And Implementation ◽  
Separation Of Duty ◽  
Enforcement Mechanisms ◽  
Different Levels

Usage control policies specify restrictions on the handling of data after access has been granted. The authors present the design and implementation of a framework for enforcing usage control requirements and demonstrate its genericity by instantiating it to two different levels of abstraction, those of the operating system and an enterprise service bus. This framework consists of a policy language, an automatic conversion of policies into enforcement mechanisms, and technology implemented on the grounds of trusted computing technology that makes it possible to detect tampering with the infrastructure. The authors show how this framework can, among other things, be used to enforce separation-of-duty policies. The authors provide a performance analysis.

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