語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Malware detection on smart wearables using machine learning algorithms
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Malware detection on smart wearables using machine learning algorithms/ by Fadele Ayotunde Alaba, Alvaro Rocha.
作者:
Alaba, Fadele Ayotunde.
其他作者:
Rocha, Alvaro.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xvii, 130 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Computational Intelligence. -
電子資源:
https://doi.org/10.1007/978-3-031-65933-1
ISBN:
9783031659331
Malware detection on smart wearables using machine learning algorithms
Alaba, Fadele Ayotunde.
Malware detection on smart wearables using machine learning algorithms
[electronic resource] /by Fadele Ayotunde Alaba, Alvaro Rocha. - Cham :Springer Nature Switzerland :2025. - xvii, 130 p. :ill. (chiefly color), digital ;24 cm. - Studies in systems, decision and control,v. 5492198-4190 ;. - Studies in systems, decision and control ;v. 2. .
1. Introduction -- 2.Security Challenges of Wearable Technology -- 3. Machine Learning Algorithms On Malware Detection Against Smart Wearable Devices -- 4.Implementation Results -- 5. Conclusions, Future Directions, and Recommendations.
This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization's brand.
ISBN: 9783031659331
Standard No.: 10.1007/978-3-031-65933-1doiSubjects--Topical Terms:
768837
Computational Intelligence.
LC Class. No.: TK7882.W437
Dewey Class. No.: 005.88
Malware detection on smart wearables using machine learning algorithms
LDR
:01923nam a2200361 a 4500
001
1160285
003
DE-He213
005
20241004131828.0
006
m d
007
cr nn 008maaau
008
251029s2025 sz s 0 eng d
020
$a
9783031659331
$q
(electronic bk.)
020
$a
9783031659324
$q
(paper)
024
7
$a
10.1007/978-3-031-65933-1
$2
doi
035
$a
978-3-031-65933-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.W437
072
7
$a
TJF
$2
bicssc
072
7
$a
UYZ
$2
bicssc
072
7
$a
TEC067000
$2
bisacsh
072
7
$a
TJF
$2
thema
072
7
$a
UYZ
$2
thema
082
0 4
$a
005.88
$2
23
090
$a
TK7882.W437
$b
A316 2025
100
1
$a
Alaba, Fadele Ayotunde.
$3
1455389
245
1 0
$a
Malware detection on smart wearables using machine learning algorithms
$h
[electronic resource] /
$c
by Fadele Ayotunde Alaba, Alvaro Rocha.
260
$a
Cham :
$c
2025.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xvii, 130 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
490
1
$a
Studies in systems, decision and control,
$x
2198-4190 ;
$v
v. 549
505
0
$a
1. Introduction -- 2.Security Challenges of Wearable Technology -- 3. Machine Learning Algorithms On Malware Detection Against Smart Wearable Devices -- 4.Implementation Results -- 5. Conclusions, Future Directions, and Recommendations.
520
$a
This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization's brand.
650
2 4
$a
Computational Intelligence.
$3
768837
650
1 4
$a
Human-Machine Interfaces.
$3
1389715
650
0
$a
Machine learning
$v
Congresses.
$3
574552
$3
727808
650
0
$a
Malware (Computer software)
$v
Congresses.
$3
787104
650
0
$a
Wearable technology
$x
Security measures.
$3
1091184
700
1
$a
Rocha, Alvaro.
$3
1024984
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Studies in systems, decision and control ;
$v
v. 2.
$3
975418
856
4 0
$u
https://doi.org/10.1007/978-3-031-65933-1
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入