Cyberattack Detection System using Machine Learning
Cyberattack Detection System using Machine Learning
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Cyberattack Detection System using Machine Learning

Within the ever-growing and quickly increasing field of cyber security, it is nearly impossible to quantify or justify the explanations why cyber security has such an outsized impact. Permitting malicious threats to run any place, at any time or in any context is a long way from being acceptable, and may cause forceful injury. It particularly applies to the Byzantine web of consumers and using the net and company information that cyber security groups are finding it hard to shield and contain. Cyber security may be a necessary thought for people and families alike, also for businesses, governments, and academic establishments that operate inside the compass of world network or net. With the facility of Machine Learning, we will advance cyber security landscape. Businesses these days are gathering immense amounts of user information. Information is at the heartbeat of any business-critical system you’ll be able to think about. This co-jointly includes infrastructure systems that are being implemented these days. Today’s high-tech infrastructure, that has network and cyber security systems, is gathering tremendous amounts of data and analytics on almost all the key aspects of mission-critical systems. Whereas people still give the key operational oversight and intelligent insights into today’s infrastructure, machine learning and AI are gaining pace and gathering immense momentum in most of the areas of today’s systems, whether or not it’s positioned on premise or within the cyber security house.
Keywords: Machine Learning, cyber security, k-means, Random Forest, SVM etc.


SKU: 9789355451156 /9789355451217 Category:
Weight 0.300 kg
Dimensions 22 × 15 × 2 cm

Dr. B. K. Sarkar,

Dr. Kirti Mahajan,

Dr. M. Bheemalingaiah,

Dr. Reena Singh


Namya press




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