Enhancing Computer Security with Smart Technology
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A01=V. Rao Vemuri
advanced malware detection
alarm
anomaly
Anomaly Detection
artificial immune systems
Author_V. Rao Vemuri
Category=URY
Cross-site Scripting
Cross-site Scripting Attack
cyber risk assessment
detection
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
false
feature
Feature Vectors
Fuzzy Art
Hurst Parameter
ICA Component
ICMP
Id
intrusion
Intrusion Detection
IP Address
Mac Address
machine
Machine Learning
machine learning for cybersecurity applications
Mars
MIT Lincoln Lab
Mosaic Plots
multivariate data analysis
Negative Selection
network protocol analysis
Packet Filtering
Post Request
Sensitive Information
SQL Injection
SQL Injection Attack
SQL Query
Stars Plots
support
system
Tcp
vector
wavelet analysis security
Product details
- ISBN 9780367391720
- Weight: 498g
- Dimensions: 156 x 234mm
- Publication Date: 19 Jun 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Divided into two major parts, Enhancing Computer Security with Smart Technology introduces the problems of computer security to researchers with a machine learning background, then introduces machine learning concepts to computer security professionals.
Realizing the massive scope of these subjects, the author concentrates on problems related to the detection of intrusions through the application of machine learning methods and on the practical algorithmic aspects of machine learning and its role in security.
A collection of tutorials that draw from a broad spectrum of viewpoints and experience, this volume is made up of chapters written by specialists in each subject field. It is accessible to any professional with a basic background in computer science. Following an introduction to the issue of cyber-security and cyber-trust, the book offers a broad survey of the state-of-the-art in firewall technology and of the importance of Web application security. The remainder of the book focuses on the use of machine learning methods and tools and their performance.
Vemuri, V. Rao
