Abstract
This short chapter focuses on targeting. Targeting increases the yield of attacks, i.e., the response rate. Targeting also reduces the efficacy of spam filters and related technologies, and as such, vastly improves the profits scammers reap. We overview how to estimate the yield of attacks, and how to identify scams that are likely to become more common.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Email attacks: This time its personal. http://www.cisco.com/c/dam/en/us/products/collateral/security/email-security-appliance/targeted_attacks.pdf (2011)
T.N. Jagatic, N.A. Johnson, M. Jakobsson, F. Menczer, Social phishing. Commun. ACM 50 (10), 94–100 (2007)
M. Jakobsson, J. Ratkiewicz, Designing ethical phishing experiments: a study of (ROT13) rOnl query features, in Proceedings of the 15th international conference on World Wide Web (ACM, 2006), pp. 513–522
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media New York
About this chapter
Cite this chapter
Jakobsson, M. (2016). Scams and Targeting. In: Jakobsson, M. (eds) Understanding Social Engineering Based Scams. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6457-4_1
Download citation
DOI: https://doi.org/10.1007/978-1-4939-6457-4_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-6455-0
Online ISBN: 978-1-4939-6457-4
eBook Packages: Computer ScienceComputer Science (R0)