Understanding Social Engineering Based Scams
@inproceedings{Jakobsson2016UnderstandingSE,
title={Understanding Social Engineering Based Scams},
author={M. Jakobsson},
booktitle={Springer New York},
year={2016}
}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. 1.1 Yields and Targeting Targeting a scam is known to dramatically increase the yield of the attack. Industry estimates of the yield of non… CONTINUE READING
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References
SHOWING 1-10 OF 36 REFERENCES
Fuzzing E-mail Filters with Generative Grammars and N-Gram Analysis
- Engineering, Computer Science
- WOOT
- 2015
- 11
- PDF