This chapter describes the implementation of a lightweight real-time framework called QF.
Also, because of the software implementations of ciphers do not need additional cost of the hardware manufacturing and often are easy to maintain and upgrade, it is believed that software-oriented implementation of these lightweight ciphers are more practical and useful for sensors.
This paper describes the development and implementation of a lightweight software solution, called OSSperf, which can be used to investigate the performance of object-based public cloud storage services like Amazon S3, Google Storage and Microsoft Azure Blob Storage, as well as private cloud re-implementations.
During the software implementations of different lightweight block ciphers, different compiling modes could cause a big diversity.
We demonstrate a detailed design and prototype implementation of AAoT, a lightweight and practical mechanism for Attestation and Authentication of Things, that can provide software integrity, mutual authentication and tamper-proof feature for smart embedded devices.
The term "lightweight cipher" is seriously discussed and analyzed considering the implementation platform, and the characteristics of lightweight ciphers are introduced.
The contributions of this paper are listed as follows: The term "lightweight cipher" is seriously discussed and analyzed considering the implementation platform, and the characteristics of lightweight ciphers are introduced.
The implementation of reliable and optimized lightweight structures needs to achieve high levels of performance, cost effectiveness and sustainability.
Nevertheless, developments on Linux Containers and associated technologies [34, 77] led to the implementation of cloud platforms using lightweight containers [44] such as Docker [66, 110] with smaller overhead compared to virtual machines as containers only replicate the libraries and binaries of the virtualized application [53].
We chose to use Apache Felix, a lightweight implementation of OSGi, which is easy to use in standalone and is suitable for integration in the compact machines we are using for the deployment as it takes up almost 0% of CPU processing time and as low as 12 M of RAM.
