Model-Based Security System for Data Acquisition in e-Maintenance using Artificial Immune System and Cloud Computing

摘要

e-Maintenance solutions are extensively used by the industry today. eMainlenanee is an emerging technology aimed to support the industry to achieve effectiveness and efficiency in their maintenance process through enhanced use of Information and Communication Technology (ICT). One of the essenlial components is an eMaintenance solution is data acquisition. Supervisory Control and Data Acquisition (SCADA) lias been used to manage data acquisition is many industrial systems. Now-a-days, modern SCADA systems are available through internet and other networks via IP protocol. An increased use of internet-based solutions requires appropriate management approaches to improve the safety and security aspects of a system. Hence, this paper suggests anew security model based security for SCaDA systems through Cloud computing and Artificial Immune System (AIS). Furthermore, the paper provides AIS, which is based on Decision Tree (C4.5 algorithm) using clustered features set. The features set are selected from NSL-KDD cup. It is a new version of KDD dataset. As a result, two Antibodies arc generated (that could recognize Normal and Antigen). After applying the resulted antibodies on the testing data set, the outputs are Normal, Antigen, and Unknown. Finally it is treated with Unknown us Antigen. As a result, the accuracy of the suggested model reaches a high level of 96.3%.