COMPUTER SECURITY: ART AND SCIENCE BY MATT BISHOP.pdf
COMPUTER SECURITY: ART AND SCIENCE BY MATT BISHOP.pdf
content of the publication: (the following extracted text is available for download as a pdf): content of the publication is in the form of a set of teaching guidelines, i.e. software assurance curriculum project: volume iv: community college education.
analysis of the matlockâdoyle configuration in multi-class detection by support vector machines is a typical problem in bioinformatics. we propose a new machine learning algorithm for this problem that uses several machine learning components, like support vector machines (svms), multiple classifier systems (mcss), and the adaptive neuro fuzzy inference system (anfis). the advantages of this hybrid learning paradigm are its ability to better handle the “curse of dimensionality,” its generalization capability, and its ability to exploit the neighborhood structure of the problem. the algorithm has several variants, depending on the exact choice of kernel function and the input distribution.”’
in this course, students will learn the basics of the field of computer security, their history, and their development. students will be introduced to what they need to know in order to understand computer security. we will discuss the motivations and objectives behind computer security, its types, its phases, and how computer security relates to computer systems. we will discuss various types of attacks on computer systems, including those that are available to technically unsophisticated attackers. we will look at typical attack scenarios, such as the common “denial of service” and the more sophisticated “distributed denial of service” attack.
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