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Machine learning and cognitive scien...

Khan, Muhammad Salman,

Machine learning and cognitive science applications in cyber security

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and cognitive science applications in cyber securityMuhammad Salman Khan.
Author:	Khan, Muhammad Salman,
Published:	Hershey, Pennsylvania :IGI Global,2019.
Description:	1 online resource (xvi, 321 p.)
Notes:	Description based upon print version of record.
Subject:	InternetSecurity measures.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8100-0
ISBN:	9781522581017 (e-book)

Machine learning and cognitive science applications in cyber security
Khan, Muhammad Salman,

Machine learning and cognitive science applications in cyber security[electronic resource] /Muhammad Salman Khan. - Hershey, Pennsylvania :IGI Global,2019. - 1 online resource (xvi, 321 p.)

Description based upon print version of record.

Includes bibliographical references and index.

Chapter 1. Healthcare information security in the cyber world -- Chapter 2. A machine learning approach for predicting bank customer behavior in the banking industry -- Chapter 3. Advanced-level security in network and real-time applications using machine learning approaches -- Chapter 4. New tools for cyber security using blockchain technology and avatar-based management technique -- Chapter 5. Machine learning application with avatar-based management security to reduce cyber threat -- Chapter 6. Machine learning with avatar-based management of Sleptsov net-processor platform to improve cyber security -- Chapter 7. Intelligent log analysis using machine and deep learning -- Chapter 8. Password-less authentication: methods for user verification and identification to login securely over remote sites -- Chapter 9. A novel bat algorithm for line-of-sight localization in internet of things and wireless sensor network -- Chapter 10. Ensemble learning mechanisms for threat detection: a survey.

Restricted to subscribers or individual electronic text purchasers.

In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malw.

ISBN: 9781522581017 (e-book)Subjects--Topical Terms:

192260
Internet
--Security measures.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TK5105.59 / .M328 2019e

Dewey Class. No.: 006.3/1

Machine learning and cognitive science applications in cyber security
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100 1 $a Khan, Muhammad Salman, $e author. $3 843844
245 1 0 $a Machine learning and cognitive science applications in cyber security $h [electronic resource] / $c Muhammad Salman Khan.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2019.
300 $a 1 online resource (xvi, 321 p.)
500 $a Description based upon print version of record.
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Healthcare information security in the cyber world -- Chapter 2. A machine learning approach for predicting bank customer behavior in the banking industry -- Chapter 3. Advanced-level security in network and real-time applications using machine learning approaches -- Chapter 4. New tools for cyber security using blockchain technology and avatar-based management technique -- Chapter 5. Machine learning application with avatar-based management security to reduce cyber threat -- Chapter 6. Machine learning with avatar-based management of Sleptsov net-processor platform to improve cyber security -- Chapter 7. Intelligent log analysis using machine and deep learning -- Chapter 8. Password-less authentication: methods for user verification and identification to login securely over remote sites -- Chapter 9. A novel bat algorithm for line-of-sight localization in internet of things and wireless sensor network -- Chapter 10. Ensemble learning mechanisms for threat detection: a survey.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malw.
650 0 $a Internet $x Security measures. $3 192260
650 0 $a Computer security $x Data processing. $3 843845
650 0 $a Machine learning. $3 188639
650 0 $a Computer crimes $x Prevention. $3 317273
655 0 $a Electronic books. $2 local. $3 214472
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8100-0