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Full-Text Articles in OS and Networks
Networks - Ii: Overhead Analysis Of Security Implementation Using Ipsec, Muhammad Awais Azam, Zaka -Ul- Mustafa, Usman Tahir, S. M. Ahsan, Muhammad Adnan Naseem, Imran Rashid, Muhammad Adeel
Networks - Ii: Overhead Analysis Of Security Implementation Using Ipsec, Muhammad Awais Azam, Zaka -Ul- Mustafa, Usman Tahir, S. M. Ahsan, Muhammad Adnan Naseem, Imran Rashid, Muhammad Adeel
International Conference on Information and Communication Technologies
Authentication, access control, encryption and auditing make up the essential elements of network security. Researchers have dedicated a large amount of efforts to implement security features that fully incorporate the use of all these elements. Currently, data networks mainly provide authentication and confidentiality services. Confidentiality alone is not able to protect the system, thus, suitable security measures must be taken. However, this security is itself an overhead which must be accounted for. A trade-off must exist between performance and security. This trade-off must be carefully managed so as not to deteriorate the systems being secured. This calls for the true …
Artificial Intelligence – I: A Two-Step Approach For Improving Efficiency Of Feedforward Multilayer Perceptrons Network, Shoukat Ullah, Zakia Hussain
Artificial Intelligence – I: A Two-Step Approach For Improving Efficiency Of Feedforward Multilayer Perceptrons Network, Shoukat Ullah, Zakia Hussain
International Conference on Information and Communication Technologies
An artificial neural network has got greater importance in the field of data mining. Although it may have complex structure, long training time, and uneasily understandable representation of results, neural network has high accuracy and is preferable in data mining. This research paper is aimed to improve efficiency and to provide accurate results on the basis of same behaviour data. To achieve these objectives, an algorithm is proposed that uses two data mining techniques, that is, attribute selection method and cluster analysis. The algorithm works by applying attribute selection method to eliminate irrelevant attributes, so that input dimensionality is reduced …