چکیده:
is (Rahman and Saba, 2014) as one of the sensitive issues of information
security risk management in organizations has become the information age
The new era of information technology and information systems, our
environment has become challenging environment. In this context, we see
every day, and then with the arrival of new technologies and the new
challenges we buckle.IT information systems have taken root in all sectors of
human life and human relationships, however, can help to facilitate life, but
like any other emerging technology itself, but also bring risks. For example,
an organization to increase its effectiveness and efficiency in communications,
telecommunications networks and the Internet is, should the risk of
unauthorized access to corporate information or competitors accepted or
manage it. Today, organizations and systems in an environment full of
challenges and changes they are so necessary for the survival and continued
existence in such an environment, keeping up with correct and timely
environmental changes and respond to them.
True accountability requires making the right decisions, which by all-round
managers and pavement managers and decision require any application.
خلاصه ماشینی:
Using artificial neural networks to assess information security risks Reza Ahmadi1, Syed Ahmed Hamdan Shybt 2, movahed3 1Department of Management , Electronic Branch, Islamic Azad University, Tehran, Iran 2Science and Research Branch, Islamic Azad University, Tehran, Iran 2Science and Research Branch, Islamic Azad University, Tehran, Iran Original Article: Received 10 March.
Keyword: Neural networks, artificial, risk assessment, information security, algorithm * Corresponding author: Ahmadi Peer review under responsibility of UCT Journal of Management and Accounting Studies INTRODUCTION Due to changes in business processes and organizations, companies need to survive and its competitive position in the exchange of information on the use of information technology, finance and control Khvddarnd exchange.
, 1391) ISO 27001-based information security risk assessment and in combination with fuzzy methods and systems expert, an example of this activity.
Integration of research results AHP fuzzy mathematics and artificial neural network method is a method for risk assessment of information security.
The combination of theory and evaluation methods fuzzy RBF neural network particle swarm optimization, is used for risk assessment of information security.
(Associate professor, 2010) Information security risk assessment based on artificial neural network and fuzzy AHP is also another method provided.
To the tree models that they can target variables have a finite set of values called classification trees Neural Clustering Artificial neural networks as the nervous systems of neurons connected to each other is made up of organisms that are able to process information or change (Hvrnyk, Astynkvmbt Variety, 1989).