Model-based security system for data acquisition in e-maintenance using artificial immune system and cloud computing

Projekt:

JVTC

Sammanfattning:
eMaintenance solutions are extensively used by the industry today. eMaintenance 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 essential components is an eMaintenance solution is data acquisition. Supervisory Control and Data Acquisition (SCADA) has been used to manage data acquisition is many industrial systems. Nowadays, modern SCADA systems are available through internet and other networks via IP protocol. An increased use of internet–based solution requires appropriate management approaches to improve the safety and security aspects of a system. Hence, this paper suggests a new 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 feature set. The features set are selected from NSL-KDD cup. It is a new version of KDD dataset. As a result, two Antibodies are 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 as Antigen. As a result, high accuracy of the suggested model reaches 96.3%.

Författare: Yamur Al-Douri ; Ramin Karim ; Aditya Parida ; Uday Kumar
Utgivare: COMADEM
Utgivningsdatum: 2012
Diarienummer: TRV 2011/58769
ISSN: 1363-7681
Antal sidor: 12
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs