Advanced Encryption Standard (AES) is the first cryptographic standard aroused as a result of public competition that was established by U.S. National Institute of Standards and Technology. Standard can theoretically be divided into three cryptographic algorithms: AES-128, AES-192 and AES-256. This paper represents a study which compares performance of well known cryptographic packages – Oracle/Sun and Bouncy Castle implementations in relation to our own small and specialized implementations of AES algorithm. The paper aims to determine advantages between the two well known implementations, if any, as well as to ascertain what benefits we could derive if our own implementation was developed. Having compared the well known implementations, our evaluation results show that Bouncy Castle and Oracle/SUN gave pretty equal performance results – Bouncy Castle has produced slightly better results than Oracle/Sun during encryption, while in decryption, the results prove that Oracle/Sun implementation has been slightly faster. It should be noted that the results presented in this study will show some advantages of our own specialized implementations related not only to algorithm speed, but also to possibilities for further analysis of the algorithm.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
