Title :
ISO 27001 Compliance via Artificial Neural Network
Author :
Shrivastava, A.K. ; Kumar, Ajit ; Rai, A.K. ; Payal, Nitisha ; Tiwari, Anish
Author_Institution :
Dept. of IT, MIET, Meerut, India
Abstract :
In this modern world of computerization, lots of data is stored in Computer System & hence requirement to save this data increase day by day. There are lots of Standards which organization can follow to make all the information within their organization safe, but to implement an standard is not easy for every organization, especially with organization which are in the stage of evolution. In this Research Paper we will be presenting a solution using Artificial Intelligence Techniques with the help of which small organization can implement these standards at comparatively low price as well as it will also help organization in Information System Risk Management.
Keywords :
information systems; neural nets; organisational aspects; risk management; ISO 27001 compliance; artificial intelligence techniques; artificial neural network; computer system; information system risk management organization; research paper; Artificial neural networks; ISO standards; Information security; Organizations; Risk management; Standards organizations; Artificial Intelligence; Artificial Neural Network; ISO 27001; Risk Assessment;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on
Conference_Location :
Mathura
DOI :
10.1109/CICN.2013.77
