[PDF.82bz] Identification of Hostile TCP Traffic using Support Vector Machines: An application of machine learning to computer security

Identification of Hostile TCP Traffic using Support Vector Machines: An application of machine learning to computer security

[PDF.od24] Identification of Hostile TCP Traffic using Support Vector Machines: An application of machine learning to computer security

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 | #15846118 in Books |  LAP LAMBERT Academic Publishing |  2010-10-31 | Original language:English | PDF # 1 |  8.66 x.19 x5.91l,.28 | File type: PDF | 80 pages

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||About the Author|Glenn was born and grew up in Zimbabwe. He studied computer science at Rhodes University in South Africa, where he won the prestigious Rhodes Scholarship to study at the University of Oxford. At Oxford he completed two Masters degrees; one in co

In this book we combine the fields of supervised machine learning and computer security. Our goal is to teach a computer to be able to recognise malicious or hostile network traffic based on previous examples of such behaviour. Whilst intrusion detection using machine learning is nothing new, the majority of existing approaches discard the payload and focus on finding patterns in the packet headers (due to the curse of dimensionality). In this book we demonstrate that ca...

You easily download any file type for your gadget.Identification of Hostile TCP Traffic using Support Vector Machines: An application of machine learning to computer security   |  Glenn Wilkinson. Just read it with an open mind because none of us really know.

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