Currently, security in information has become one of the main challenges for most organizations. It is a process of risk management that covers every instance when information must be protected . ISO 17799 offers what organizations need in order to have a better security in information. The best way to implement that standard is making easier the security management process by using methods that allow to define guides, procedures and tools needed during implementation. This paper deals with the construction of a computing tool that helps the organization in meeting the norms BS 7799/ ISO 17799 and peruvian regulation NTP 17799. This will result in planning and implementing needed actions to fulfill or certify the above mentioned standards.

This study shows the results of investigations to determine harmonics in electrical current through the use of Artificial Neural Networks (ANN) using the methods of Feedforward-Backpropagation through a generator of electrical signals in C# (C Sharp). We studied the causes of current harmonics, what a re its implications in everyday work and filters to attenuate these harmonics. For generation of harmonics, we implemented a transmitter of electrical signals by software, also developed in C# (C Sharp) so as to obtain raw and real data as possible, in order to perform tests for simulating errors in the signal power that occur in real time and then process this data.It was determined that the best method for the detection of harmonics using Artificial Neural Networks is Feedforward — Backpropagation with supervised training in order to handle the input and output to get a better result.Th...