Open AccessEXTENDING THE DEEP PACKET INSPECTION MODEL TO THE GCC/MENA REGION
Author(s) -
Alfred H. Miller
Publication year - 2013
Publication title -
international journal of cyber society and education
Language(s) - English
Resource type - Journals
eISSN - 2410-857X
pISSN - 1995-6649
DOI - 10.7903/ijcse.1066
Subject(s) - the internet , deep packet inspection , confirmatory factor analysis , network packet , computer science , variable (mathematics) , structural equation modeling , artificial intelligence , computer security , machine learning , mathematics , world wide web , mathematical analysis
This study seeks to explore extending the technology acceptance model (DPAM) from a 2011 quantitative study—Modeling Intention to Use Deep Packet Inspection Technology in the United Arab Emirates, to the cyber security practitioner community of the Gulf Cooperation Council (GCC) and greater Middle East North Africa (MENA) Region. Analysis of regression between independent variable model factors of computer self efficacy, attitude toward ICT, perceived usefulness of ecommerce, intention to use ecommerce, societal trust and Internet filtration toward the dependent variable intention to use deep packet inspection, to determine parsimony, using confirmatory factor analysis (CFA), multinomial regression to assess correlation of independent and dependent variables, and assessment of the cross-suitability of DPAM across the MENA/GCC states through a MANOVA assessment. A qualitative component of the instrument enables collection of data about specific hardware and software deployed for deep packet inspection and cyber security systems