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Understanding Social Engineering Based Scams 1st ed. 2016 [Kõva köide]

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  • Formaat: Hardback, 130 pages, kõrgus x laius: 235x155 mm, kaal: 3495 g, 18 Illustrations, color; 33 Illustrations, black and white; XVI, 130 p. 51 illus., 18 illus. in color., 1 Hardback
  • Ilmumisaeg: 14-Sep-2016
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1493964550
  • ISBN-13: 9781493964550
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Understanding Social Engineering Based Scams 1st ed. 2016Suurem pilt
  • Formaat: Hardback, 130 pages, kõrgus x laius: 235x155 mm, kaal: 3495 g, 18 Illustrations, color; 33 Illustrations, black and white; XVI, 130 p. 51 illus., 18 illus. in color., 1 Hardback
  • Ilmumisaeg: 14-Sep-2016
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1493964550
  • ISBN-13: 9781493964550
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781493964550.html
Märksõnad:
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.

Arvustused

This up-to-date book zeroes in on the more recent phenomenon of lower volume, targeted emails. It is directed at network administrators, security researchers, best policy practitioners, and law enforcers. For the intended audiences, it is a decent high-level overview that is worth reading. (David Bellin, Computing Reviews, February, 2017)

1 Scams and Targeting
1(6)
Part I Identifying Trends
2 Identifying Scams and Trends
7(14)
3 Predicting Trends
21(8)
Part II Why Do People Fall for Scams?
4 Persuasion in Scams
29(22)
Part III Filtering Technology
5 Traditional Countermeasures to Unwanted Email
51(12)
6 Obfuscation in Spam and Scam
63(6)
7 Semantic Analysis of Messages
69(8)
Part IV Understanding the Problem Starts with Measuring It
8 Case Study: Sales Scams
77(12)
9 Case Study: Rental Scams
89(14)
10 Case Study: Romance Scams
103(12)
11 Case Study: Business Email Compromise
115(10)
Part V Conclusion
12 Conclusion and Next Steps
125(4)
Index 129
Dr. Markus Jakobsson is a leading voice in advising on advancements in understanding phishing, crimeware, social engineering and mobile security. He specializes in research around applied security, ranging from mobile malware detection to improved user interfaces, and with special attention to understanding and blocking fraud. Dr. Jakobsson has authored or co-authored more than a hundred peer-reviewed publications and numerous books related to Internet Security and Online Fraud. Dr. Jakobsson is the inventor of more than 50 patents and more than 100 pending patents, and consults as an expert witness in high-profile patent litigation cases. In 2013, Qualcomm acquired FatSkunk, an anti-malware startup founded by Dr. Jakobsson in 2009. He is the founder and CTO of ZapFraud Inc, a company dedicated to rubbing out Business Email Compromise.