Paper Title
AUTOMATIC DETECTION AND REMOVAL OF MALWARES IN CLOUD ENVIRONMENT
Article Identifiers
Registration ID: IJNRD_180044
Published ID: IJNRD1804003
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Keywords
Security, Malware, DES, AES, Cryptography, Dataset, Protection, anomaly, SVM
Abstract
Cloud services are prominent within the private, public and commercial domains. Cloud services are critical in nature; therefore security and resilience are increasingly important aspects. To become resilient, a cloud must possess to have the ability to react not only to known threats, but also to all the new challenges that approach the cloud environment. Our cloud detection and removal approach, leads to dedicated detection technique of our cloud resilience architecture. Specifically, we exhibit the applicability of malware detection with the one-class SVM formulation at the various levels, through the utilization of features gathered at the system and network levels of a cloud node. Our approach can obtain high detection accuracy on detecting various types of malwares. Our approach evaluates the data’s of both the system-based data and also the network-based data depending on the various type of malwares. Finally, our approach for detection is particularly applicable to cloud environment and leads to a more flexible malware detection system capable of detecting new malware strains with no prior knowledge of their functionality or their underlying instructions.
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How To Cite (APA)
R.Gowthami Saranya & A.Subashini (April-2018). AUTOMATIC DETECTION AND REMOVAL OF MALWARES IN CLOUD ENVIRONMENT. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 3(4), 21-28. https://ijnrd.org/papers/IJNRD1804003.pdf
Issue
Volume 3 Issue 4, April-2018
Pages : 21-28
Other Publication Details
Paper Reg. ID: IJNRD_180044
Published Paper Id: IJNRD1804003
Research Area: Engineering
Author Type: Foreign Author
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD1804003.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1804003
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