東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Machine learning- Security measures." ]

切換: 標籤 | MARC模式 | ISBD

Machine learning for cyber agents = ...

Martellini, M.

FindBook

Google Book

Amazon

博客來

Machine learning for cyber agents = attack and defence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning for cyber agents/ by Stanislav Abaimov, Maurizio Martellini.
其他題名:	attack and defence /
作者:	Abaimov, Stanislav.
其他作者:	Martellini, M.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xv, 227 p. :ill., digital ;24 cm.
內容註:	1. Introduction -- 2. Understanding Machine Learning -- 3. Defence -- 4. Attack -- 5. Feasibility and Misconceptions -- 6. International resonance -- 7. Prospects -- 8. Conclusion.
Contained By:	Springer Nature eBook
標題:	Machine learning - Security measures. -
電子資源:	https://doi.org/10.1007/978-3-030-91585-8
ISBN:	9783030915858

Machine learning for cyber agents = attack and defence /
Abaimov, Stanislav.

Machine learning for cyber agentsattack and defence /[electronic resource] :by Stanislav Abaimov, Maurizio Martellini. - Cham :Springer International Publishing :2022. - xv, 227 p. :ill., digital ;24 cm. - Advanced sciences and technologies for security applications,2363-9466. - Advanced sciences and technologies for security applications..

1. Introduction -- 2. Understanding Machine Learning -- 3. Defence -- 4. Attack -- 5. Feasibility and Misconceptions -- 6. International resonance -- 7. Prospects -- 8. Conclusion.

The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area - the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.

ISBN: 9783030915858

Standard No.: 10.1007/978-3-030-91585-8doiSubjects--Topical Terms:

3500846
Machine learning
--Security measures.

LC Class. No.: Q325.5 / .A33 2022

Dewey Class. No.: 006.31

Machine learning for cyber agents = attack and defence /
LDR:02371nmm a2200337 a 4500 001 2297705
003 DE-He213
005 20220127134805.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030915858 $q (electronic bk.)
020 $a 9783030915841 $q (paper)
024 7 $a 10.1007/978-3-030-91585-8 $2 doi
035 $a 978-3-030-91585-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .A33 2022
072 7 $a UYQM $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .A116 2022
100 1 $a Abaimov, Stanislav. $3 3593584
245 1 0 $a Machine learning for cyber agents $h [electronic resource] : $b attack and defence / $c by Stanislav Abaimov, Maurizio Martellini.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xv, 227 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advanced sciences and technologies for security applications, $x 2363-9466
505 0 $a 1. Introduction -- 2. Understanding Machine Learning -- 3. Defence -- 4. Attack -- 5. Feasibility and Misconceptions -- 6. International resonance -- 7. Prospects -- 8. Conclusion.
520 $a The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area - the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.
650 0 $a Machine learning $x Security measures. $3 3500846
650 1 4 $a Machine Learning. $3 3382522
650 2 4 $a Data and Information Security. $3 3538510
650 2 4 $a Mobile and Network Security. $3 3382377
650 2 4 $a Security Science and Technology. $3 1531662
700 1 $a Martellini, M. $3 3593585
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advanced sciences and technologies for security applications. $3 2180530
856 4 0 $u https://doi.org/10.1007/978-3-030-91585-8
950 $a Physics and Astronomy (SpringerNature-11651)