國立虎尾科技大學 |

Artificial Intelligence in Cyber Security: Impact and Implications = Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial Intelligence in Cyber Security: Impact and Implications/ edited by Reza Montasari, Hamid Jahankhani.
其他題名:	Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges /
其他作者:	Jahankhani, Hamid.
面頁冊數:	VI, 306 p. 99 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Security Science and Technology. -
電子資源:	https://doi.org/10.1007/978-3-030-88040-8
ISBN:	9783030880408

Artificial Intelligence in Cyber Security: Impact and Implications = Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges /
Artificial Intelligence in Cyber Security: Impact and ImplicationsSecurity Challenges, Technical and Ethical Issues, Forensic Investigative Challenges /[electronic resource] :edited by Reza Montasari, Hamid Jahankhani. - 1st ed. 2021. - VI, 306 p. 99 illus., 81 illus. in color.online resource. - Advanced Sciences and Technologies for Security Applications,2363-9466. - Advanced Sciences and Technologies for Security Applications,.

1. Artificial Intelligence for Cyber Security: Principles and Paradigms -- 2. Cognitive Technologies and Artificial Intelligence in Cyber Security -- 3. Artificial Intelligence and Machine Learning Tools for Cyber Defence Operations -- 4. Machine Learning against Cyber Terrorism: Detecting Modified Terrorist Content Online -- 5. Combating Cybersecurity Kill Chain: Moving to a Proactive Security Model -- 6. Decoding Encrypted Data Using Deep Neural Networks -- 7. Socio-Technical Security: User Behaviour, Profiling and Modelling and Privacy by Design -- 8. Artificial Intelligence-Enabled Authentication and Associated Security Implications -- 9. Attacking Artificial Intelligence: Security Vulnerability and Proposed Countermeasures -- 10. Intelligent Security: Applying Artificial Intelligence to Detect Advanced Cyber Attacks.

The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels. In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.

ISBN: 9783030880408

Standard No.: 10.1007/978-3-030-88040-8doiSubjects--Topical Terms:

783419
Security Science and Technology.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Artificial Intelligence in Cyber Security: Impact and Implications = Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges /
LDR:04782nam a22004215i 4500 001 1057375
003 DE-He213
005 20211122120139.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030880408 $9 978-3-030-88040-8
024 7 $a 10.1007/978-3-030-88040-8 $2 doi
035 $a 978-3-030-88040-8
050 4 $a QA76.9.A25
072 7 $a UR $2 bicssc
072 7 $a COM053000 $2 bisacsh
072 7 $a UR $2 thema
072 7 $a UTN $2 thema
082 0 4 $a 005.8 $2 23
245 1 0 $a Artificial Intelligence in Cyber Security: Impact and Implications $h [electronic resource] : $b Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges / $c edited by Reza Montasari, Hamid Jahankhani.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VI, 306 p. 99 illus., 81 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advanced Sciences and Technologies for Security Applications, $x 2363-9466
505 0 $a 1. Artificial Intelligence for Cyber Security: Principles and Paradigms -- 2. Cognitive Technologies and Artificial Intelligence in Cyber Security -- 3. Artificial Intelligence and Machine Learning Tools for Cyber Defence Operations -- 4. Machine Learning against Cyber Terrorism: Detecting Modified Terrorist Content Online -- 5. Combating Cybersecurity Kill Chain: Moving to a Proactive Security Model -- 6. Decoding Encrypted Data Using Deep Neural Networks -- 7. Socio-Technical Security: User Behaviour, Profiling and Modelling and Privacy by Design -- 8. Artificial Intelligence-Enabled Authentication and Associated Security Implications -- 9. Attacking Artificial Intelligence: Security Vulnerability and Proposed Countermeasures -- 10. Intelligent Security: Applying Artificial Intelligence to Detect Advanced Cyber Attacks.
520 $a The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels. In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
650 2 4 $a Security Science and Technology. $3 783419
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Systems and Data Security. $3 677062
650 0 $a Ethics. $3 555769
650 0 $a System safety. $3 639363
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computer security. $3 557122
700 1 $a Jahankhani, Hamid. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 681083
700 1 $a Montasari, Reza. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1358696
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030880392
776 0 8 $i Printed edition: $z 9783030880415
776 0 8 $i Printed edition: $z 9783030880422
830 0 $a Advanced Sciences and Technologies for Security Applications, $x 1613-5113 $3 1266773
856 4 0 $u https://doi.org/10.1007/978-3-030-88040-8
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)