Suoritettu

Support Vector Machine & Machine Learning for Wireless Network Intrusion Detection

Report should consist of three parts as follows:

• Background to Machine Learning

Should compare the different types of machine learning, mainly Support Vector Machine learning and Neural Networks, supervised and unsupervised techniques etc

• SVM Focused theory

Theoretical background to SVM, equations, decision boundary, linear and non-linearly seperable, kernel trick etc

References, diagrams, equations to help here specifically

• Cybersecurity / network security chapter, including how machine learning and SVM fits into this

Type of attacks which one may encounter in a network generally, and wireless network specifically

How machine learning, and SVM can help to prevent this

Word limit is 4000 Words

Should include diagrams, equations, figures and references where necessary

Taidot: sähkötekniikka, Machine Learning (ML)

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Tietoa työnantajasta:
( 1 arvostelu ) Coalville, United Kingdom

Projektin tunnus: #19307338

Myönnetty käyttäjälle:

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topacademictutor

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