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Machine learning and cognitive scien...

Khan, Muhammad Salman,

Machine learning and cognitive science applications in cyber security[electronic resource] /

レコード種別:	コンピュータ・メディア : 単行資料
[NT 15000414] null:	006.3/1
タイトル / 著者:	Machine learning and cognitive science applications in cyber security/ Muhammad Salman Khan.
著者:	Khan, Muhammad Salman,
出版された:	Hershey, Pennsylvania : : IGI Global,, 2019.
記述:	1 online resource (xvi, 321 p.)
注記:	Description based upon print version of record.
主題:	Internet - Security measures.
主題:	Computer security - Data processing.
主題:	Machine learning.
主題:	Computer crimes - Prevention.
国際標準図書番号 (ISBN) :	9781522581017 (e-book)
国際標準図書番号 (ISBN) :	9781522581000 (hardback)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	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.
[NT 15000229] null:	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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8100-0

Machine learning and cognitive science applications in cyber security[electronic resource] /
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:

338953
Internet
--Security measures.Index Terms--Genre/Form:

336502
Electronic books.

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

Dewey Class. No.: 006.3/1

Machine learning and cognitive science applications in cyber security[electronic resource] /
LDR:02616nmm a2200277 a 4500 001 513232
003 IGIG
005 20191028111632.0
006 m o d
007 cr cn
008 210929s2019 pau fob 001 0 eng d
020 $a 9781522581017 (e-book)
020 $a 9781522581000 (hardback)
035 $a (OCoLC)1099489045
035 $a 1081021321
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a TK5105.59 $b .M328 2019e
082 0 0 $a 006.3/1 $2 23
100 1 $a Khan, Muhammad Salman, $e author. $3 734634
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 338953
650 0 $a Computer security $x Data processing. $3 734635
650 0 $a Machine learning. $3 202931
650 0 $a Computer crimes $x Prevention. $3 405109
655 0 $a Electronic books. $2 local $3 336502
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8100-0

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