مورد إلكتروني

A cloud-based energy efficient hosting model for malware detection framework

التفاصيل البيبلوغرافية
العنوان: A cloud-based energy efficient hosting model for malware detection framework
المؤلفون: Mirza, Qublai K. Ali
المصدر: A cloud-based energy efficient hosting model for malware detection framework
بيانات النشر: 2019
تفاصيل مُضافة: Awan, Irfan
Younas, Muhammad
Awan, Irfan
Younas, Muhammad
نوع الوثيقة: Electronic Resource
مستخلص: Protection strategy against malware attacks, whether in enterprise networks or on personal computers is generally divided into two main aspects; the detection rate and the resource consumption. Having a better detection rate is not the solution unless it is complimented by energy efficiency with respect to its CPU resource consumption of the host machine. This paper presents a cloud-based energy efficient hosting model for an intelligent malware detection framework, which amalgamates different components of Amazon's cloud services to develop a unique and dynamically scalable hosting model. The hosting model is then evaluated separately for its CPU utilization and in comparison with the conventional security software. The experimental results demonstrate significant energy efficiency in terms of CPU utilization by the hosting model.
مصطلحات الفهرس: conference paper
URL: https://radar.brookes.ac.uk/radar/items/b51f46a7-c1ca-4b38-a8b8-2804ab7d3dba/1/
الإتاحة: Open access content. Open access content
CustomStatement
ملاحظة: application/pdf
English
أرقام أخرى: UKOBD tle:b51f46a7-c1ca-4b38-a8b8-2804ab7d3dba:afee126f-04b2-41a9-a6dd-b29b7c6c20ab:1
https://radar.brookes.ac.uk/radar/items/b51f46a7-c1ca-4b38-a8b8-2804ab7d3dba/1/
https://radar.brookes.ac.uk/radar/file/b51f46a7-c1ca-4b38-a8b8-2804ab7d3dba/1/Cloudbased hosting for malware detection - 2018 - Mirza Awan Younas.pdf
1366678612
المصدر المساهم: RADAR - OXFORD BROOKES UNIV REPOSITORY
From OAIster®, provided by the OCLC Cooperative.
رقم الأكسشن: edsoai.on1366678612
قاعدة البيانات: OAIster