國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ subject:"Biometrics." ]

切換: 標籤 | MARC模式 | ISBD

Binary code fingerprinting for cyber...

Alrabaee, Saed.

Binary code fingerprinting for cybersecurityapplication to malicious code fingerprinting /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Binary code fingerprinting for cybersecurityby Saed Alrabaee ... [et al.].
其他題名:	application to malicious code fingerprinting /
其他作者:	Alrabaee, Saed.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xxi, 247 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer security.
電子資源:	https://doi.org/10.1007/978-3-030-34238-8
ISBN:	9783030342388$q(electronic bk.)

Binary code fingerprinting for cybersecurityapplication to malicious code fingerprinting /
Binary code fingerprinting for cybersecurityapplication to malicious code fingerprinting /[electronic resource] :by Saed Alrabaee ... [et al.]. - Cham :Springer International Publishing :2020. - xxi, 247 p. :ill., digital ;24 cm. - Advances in information security,v.781568-2633 ;. - Advances in information security ;12..

1 Introduction -- 2 Binary Analysis Overview -- 3 Compiler Provenance Attribution -- 4 Library Function Identification -- 5 Identifying Reused Functions in Binary Code -- 6 Function Fingerprinting -- 7 Free Open-Source Software Fingerprinting -- 8 Clone Detection -- 9 Authorship Attribution -- 10 Conclusion.

This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.

ISBN: 9783030342388$q(electronic bk.)

Standard No.: 10.1007/978-3-030-34238-8doiSubjects--Topical Terms:

184416
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Binary code fingerprinting for cybersecurityapplication to malicious code fingerprinting /
LDR:03035nmm a2200337 a 4500 001 574755
003 DE-He213
005 20200229143813.0
006 m d
007 cr nn 008maaau
008 201016s2020 sz s 0 eng d
020 $a 9783030342388$q(electronic bk.)
020 $a 9783030342371$q(paper)
024 7 $a 10.1007/978-3-030-34238-8 $2 doi
035 $a 978-3-030-34238-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A25
072 7 $a UR $2 bicssc
072 7 $a COM053000 $2 bisacsh
072 7 $a UR $2 thema
082 0 4 $a 005.8 $2 23
090 $a QA76.9.A25 $b B612 2020
245 0 0 $a Binary code fingerprinting for cybersecurity $h [electronic resource] : $b application to malicious code fingerprinting / $c by Saed Alrabaee ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxi, 247 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in information security, $x 1568-2633 ; $v v.78
505 0 $a 1 Introduction -- 2 Binary Analysis Overview -- 3 Compiler Provenance Attribution -- 4 Library Function Identification -- 5 Identifying Reused Functions in Binary Code -- 6 Function Fingerprinting -- 7 Free Open-Source Software Fingerprinting -- 8 Clone Detection -- 9 Authorship Attribution -- 10 Conclusion.
520 $a This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.
650 0 $a Computer security. $3 184416
650 1 4 $a Security. $3 760527
650 2 4 $a Biometrics. $3 274525
650 2 4 $a Cybercrime. $3 748274
700 1 $a Alrabaee, Saed. $3 862475
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in information security ; $v 12. $3 451557
856 4 0 $u https://doi.org/10.1007/978-3-030-34238-8
950 $a Computer Science (Springer-11645)