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|a eng
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|b السعودية
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|9 716333
|a Mahfoudhi, Sami
|e Author
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|a Challenges Facing IoT Expansion:
|b Security and Energy
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260 |
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|b جامعة القصيم - كلية الاقتصاد والإدارة
|c 2022
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|a 1 - 16
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|a بحوث ومقالات
|b Article
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|b The expansion of IoT (Internet of Things) is facing some resistance from organizations’ managers fearing security issues as well as technical and operational feasibility obstacles, in particular the energy consumption problem. Despite the legitimacy of these concerns, possible technical solutions exist to face them. These solutions are based on the use of machine learning techniques, namely Random Forest, Support Vector Machines and Artificial Neural Networks, to face the security risk by detecting intrusions at a high accuracy rate. In addition, our approach applies dimension reduction techniques such as Principal Components Analysis to minimize data sending and consumption. Therefore, our proposed solution show promising results in boosting security and quality of services (QoS) in IoT-cloud environments based on machine learning.
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653 |
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|a الذكاء الاصطناعي
|a إنترنت الأشياء
|a الحوسبة السحابية
|a جودة الخدمات
|a الأمن المعلوماتي
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692 |
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|b IoT
|b Cloud
|b Security
|b QoS
|b Intrusion Detection
|b Artificial Intelligence
|b Energy
|b Dimension Reduction
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773 |
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|4 الاقتصاد
|4 الإدارة
|6 Economics
|6 Management
|c 005
|e Journal of Economic and Adminstrative Sciences
|f Majalat aleulum al'iidariat waliaqtisadia
|l 002
|m مج15, ع2
|o 0427
|s مجلة العلوم الإدارية والاقتصادية
|v 015
|x 1658-404X
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856 |
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|u 0427-015-002-005.pdf
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|d y
|p y
|q n
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|a EcoLink
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|c 1351140
|d 1351140
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