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Phishing and communication channels ...

Sonowal, Gunikhan.

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Phishing and communication channels = a guide to identifying and mitigating phishing attacks /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Phishing and communication channels/ by Gunikhan Sonowal.
其他題名:	a guide to identifying and mitigating phishing attacks /
作者:	Sonowal, Gunikhan.
出版者:	Berkeley, CA :Apress : : 2022.,
面頁冊數:	xvii, 220 p. :ill., digital ;24 cm.
內容註:	1: Introduction to Phishing -- 2: Types of Phishing -- 3: Communication Channels -- 4: What Does a Phishing URL Look Like? -- 5: Characteristics of a Phishing Website -- 6: Phishing Kits -- 7: Training Methods for Phishing Detection -- 8: Legal Solution: Phishing is Prohibited Under a Number of Laws -- 9: Phishing Detection Based on Technology -- Appendix A: Machine Learning Algorithms -- Appendix B: Deep Learning Algorithms -- Appendix C: Natural Language Processing (NLP) -- Appendix D: Evaluation Metrics for Phishing Detection Approaches.
Contained By:	Springer Nature eBook
標題:	Phishing - Prevention. -
電子資源:	https://doi.org/10.1007/978-1-4842-7744-7
ISBN:	9781484277447

Phishing and communication channels = a guide to identifying and mitigating phishing attacks /
Sonowal, Gunikhan.

Phishing and communication channelsa guide to identifying and mitigating phishing attacks /[electronic resource] :by Gunikhan Sonowal. - Berkeley, CA :Apress :2022. - xvii, 220 p. :ill., digital ;24 cm.

1: Introduction to Phishing -- 2: Types of Phishing -- 3: Communication Channels -- 4: What Does a Phishing URL Look Like? -- 5: Characteristics of a Phishing Website -- 6: Phishing Kits -- 7: Training Methods for Phishing Detection -- 8: Legal Solution: Phishing is Prohibited Under a Number of Laws -- 9: Phishing Detection Based on Technology -- Appendix A: Machine Learning Algorithms -- Appendix B: Deep Learning Algorithms -- Appendix C: Natural Language Processing (NLP) -- Appendix D: Evaluation Metrics for Phishing Detection Approaches.

Mitigate the dangers posed by phishing activities, a common cybercrime carried out through email attacks. This book details tools and techniques to protect against phishing in various communication channels. The aim of phishing is to fraudulently obtain sensitive credentials such as passwords, usernames, or social security numbers by impersonating a trustworthy entity in a digital communication. Phishing attacks have increased exponentially in recent years, and target all categories of web users, leading to huge financial losses to consumers and businesses. According to Verizon's 2020 Data Breach Investigations Report (DBIR), 22% of all breaches in 2019 involved phishing. And 65% of organizations in the USA experience a successful phishing attack. This book discusses the various forms of phishing attacks, the communications most often used to carry out attacks, the devices used in the attacks, and the methods used to protect individuals and organizations from phishing attacks. What You Will Learn Understand various forms of phishing attacks, including deceptive, DNS-based, search engine, and contents injection phishing Know which communications are most commonly used, including email, SMS, voice, blog, wifi, and more Be familiar with phishing kits (what they are) and how security experts utilize them to improve user awareness Be aware of the techniques that attackers most commonly use to request information Master the best solutions (including educational, legal, technical) to protect against phishing attacks.

ISBN: 9781484277447

Standard No.: 10.1007/978-1-4842-7744-7doiSubjects--Topical Terms:

3593842
Phishing
--Prevention.

LC Class. No.: HV6773 / .S65 2022

Dewey Class. No.: 364.1632

Phishing and communication channels = a guide to identifying and mitigating phishing attacks /
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505 0 $a 1: Introduction to Phishing -- 2: Types of Phishing -- 3: Communication Channels -- 4: What Does a Phishing URL Look Like? -- 5: Characteristics of a Phishing Website -- 6: Phishing Kits -- 7: Training Methods for Phishing Detection -- 8: Legal Solution: Phishing is Prohibited Under a Number of Laws -- 9: Phishing Detection Based on Technology -- Appendix A: Machine Learning Algorithms -- Appendix B: Deep Learning Algorithms -- Appendix C: Natural Language Processing (NLP) -- Appendix D: Evaluation Metrics for Phishing Detection Approaches.
520 $a Mitigate the dangers posed by phishing activities, a common cybercrime carried out through email attacks. This book details tools and techniques to protect against phishing in various communication channels. The aim of phishing is to fraudulently obtain sensitive credentials such as passwords, usernames, or social security numbers by impersonating a trustworthy entity in a digital communication. Phishing attacks have increased exponentially in recent years, and target all categories of web users, leading to huge financial losses to consumers and businesses. According to Verizon's 2020 Data Breach Investigations Report (DBIR), 22% of all breaches in 2019 involved phishing. And 65% of organizations in the USA experience a successful phishing attack. This book discusses the various forms of phishing attacks, the communications most often used to carry out attacks, the devices used in the attacks, and the methods used to protect individuals and organizations from phishing attacks. What You Will Learn Understand various forms of phishing attacks, including deceptive, DNS-based, search engine, and contents injection phishing Know which communications are most commonly used, including email, SMS, voice, blog, wifi, and more Be familiar with phishing kits (what they are) and how security experts utilize them to improve user awareness Be aware of the techniques that attackers most commonly use to request information Master the best solutions (including educational, legal, technical) to protect against phishing attacks.
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