On Efficiency of Distributed Password Recovery

One of the major challenges in digital forensics today is data encryption. Due to the leaked information about unlawful sniffing, many users decided to protect their data by encryption. In case of criminal activities, forensic experts are challenged how to decipher suspect\u27s data that are subject to investigation. A common method how to overcome password-based protection is a brute force password recovery using GPU-accelerated hardware. This approach seems to be expensive. This paper presents an alternative approach using task distribution based on BOINC platform. The cost, time and energy efficiency of this approach is discussed and compared to the GPU-based solution

The Analysis of OpenStack Cloud Computing Platform: Features and Performance, Journal of Telecommunications and Information Technology, 2015, nr 3

Over the decades the rapid development of broadly defined computer technologies, both software and hardware is observed. Unfortunately, software solutions are regularly behind in comparison to the hardware. On the other hand, the modern systems are characterized by a high demand for computing resources and the need for customization for the end users. As a result, the traditional way of system construction is too expensive, inflexible and it doesn’t have high resources utilization. Present article focuses on the problem of effective use of available physical and virtual resources based on the OpenStack cloud computing platform. A number of conducted experiments allowed to evaluate computing resources utility and to analyze performance depending on the allocated resources. Additionally, the paper includes structural and functional analysis of the OpenStack cloud platform

Proposta de implementação dos algoritmos de hash MD5 e SHA-1 em hardware reconfigurável

This work proposes two Application Specific System Processor (ASSP), one to the MD5 algorithm and other to the SHA-1 algorithm implemented on Field Programmable Gate Array (FPGA) Xilinx Virtex 6 xc6vlx240t-1ff1156. The throughput and the occupied area were analyzed for several implementations on parallel instances of those algorithms. The results showed that the hardware proposed for MD5 achieved a better throughput than those found in published articles and it was possible to implement 320 instances of the algorithm in a single FPGA. For the SHA-1 algorithm the throughput and the area occupied by the internal circuits on the chip were also surprising when compared with other papers. Several applications such as password recovery, password validation, and high volume data integrity checking can be performed efficiently and quickly with an ASSP for MD5 and SHA-1. This work also presents a comparative analysis of the energy consumption associated with execution of the MD5 and SHA-1 algorithms for three different hardware platforms, a microprocessor (µP) of 8 bits and 32 bits and the specific application hardware designed for each algorithm. Results of consumption estimation from the processing time (measured in the laboratory) show that the use of dedicated hardware presents significant gains in energy savings.Este trabalho tem como objetivo propor dois hardwares de aplicação específica (Application Specific System Processor, ASSP), sendo um para o algoritmo MD5 e o outro para o algoritmo SHA-1, ambos implementados em um Field Programmable Gate Array (FPGA) Xilinx Virtex 6 xc6vlx240t-1ff1156. As métricas utilizadas para verificar a eficácia das implementações foram a vazão dos dados (throughput), a área de circuito ocupada, e o consumo de energia. Na qual cada uma foi analisada para várias implementações em instâncias paralelas dos algoritmos. Os resultados mostraram que o hardware proposto para o MD5 alcançou um throughput bem superior aos encontrados em artigos publicados e foi possível implementar 320 instâncias do algoritmo em um único FPGA. Para o algoritmo SHA-1 o throughput e a área ocupada pelos circuitos internos no chip também foram surpreendentes. Várias aplicações como, recuperação de senha (por meio do ataque de força bruta), validação de senha e verificação de integridade de grande volume de dados podem ser executadas de forma eficiente e rápida com um ASSP para o MD5 e para o SHA-1. A métrica do consumo de energia foi avaliada por meio de uma análise comparativa com outras três plataformas de hardware distintas, sendo um micro-processador (µP) de 8 bits, um µP de 32 bits e os hardwares de aplicação específica projetados para cada algoritmo. Os resultados de estimativa de consumo a partir do tempo de processamento (medidos em laboratório) mostram que a utilização dos hardwares dedicados apresentam ganhos significativos de economia de energia

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