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Understanding social engineering bas...
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Jakobsson, Markus.
Understanding social engineering based scams
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Understanding social engineering based scams/ edited by Markus Jakobsson.
其他作者:
Jakobsson, Markus.
出版者:
New York, NY :Springer New York : : 2016.,
面頁冊數:
xvi, 130 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Spam (Electronic mail) -
電子資源:
http://dx.doi.org/10.1007/978-1-4939-6457-4
ISBN:
9781493964574
Understanding social engineering based scams
Understanding social engineering based scams
[electronic resource] /edited by Markus Jakobsson. - New York, NY :Springer New York :2016. - xvi, 130 p. :ill., digital ;24 cm.
Scams and Targeting -- Identifying Scams and Trends -- Predicting Trends -- Persuasion in Scams -- Traditional Countermeasures to Unwanted Email -- Obfuscation in Spam and Scam -- Semantic Analytics of Messages -- Case Study: Sales Scams -- Case Study: Rental Scams -- Case Study: Romance Scams -- Case Study: Business Email Compromise -- Conclusion and Next Steps.
This book describes trends in email scams and offers tools and techniques to identify such trends. It also describes automated countermeasures based on an understanding of the type of persuasive methods used by scammers. It reviews both consumer-facing scams and enterprise scams, describing in-depth case studies relating to Craigslist scams and Business Email Compromise Scams. This book provides a good starting point for practitioners, decision makers and researchers in that it includes alternatives and complementary tools to the currently deployed email security tools, with a focus on understanding the metrics of scams. Both professionals working in security and advanced-level students interested in privacy or applications of computer science will find this book a useful reference.
ISBN: 9781493964574
Standard No.: 10.1007/978-1-4939-6457-4doiSubjects--Topical Terms:
1113446
Spam (Electronic mail)
LC Class. No.: HE7551
Dewey Class. No.: 004.692
Understanding social engineering based scams
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