Understanding Social Engineering Based Scams

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Describes how scams manipulate human principles of persuasion Suggests tools for measuring messaging credibility, campaign yields, and clustering and locations of scammers Provides methods for identifying and stopping enterprise scams, such as the surging Business Email Compromise scam Includes supplementary material: sn.pub/extras

Autorentext

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.



Inhalt
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.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781493982066
    • Auflage Softcover reprint of the original 1st ed. 2016
    • Editor Markus Jakobsson
    • Sprache Englisch
    • Größe H235mm x B8mm x T155mm
    • Jahr 2018
    • EAN 9781493982066
    • Format Kartonierter Einband
    • ISBN 978-1-4939-8206-6
    • Titel Understanding Social Engineering Based Scams
    • Autor Markus Jakobsson
    • Gewicht 237g
    • Herausgeber Springer
    • Anzahl Seiten 130
    • Lesemotiv Verstehen
    • Genre Informatik

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