Detecting and Characterizing SMS Spearphishing Attacks-Reference-Cited by-同舟云学术

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Detecting and Characterizing SMS Spearphishing Attacks

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
language:
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Author:

Liu Mingxuan¹,Zhang Yiming²,Liu Baojun²,Li Zhou³,Duan Haixin⁴,Sun Donghong¹

Affiliation:

1. Tsinghua University, China and Beijing National Research Center for Information Science and Technology, China

2. Tsinghua University, China

3. University of California, Irvine, USA

4. Tsinghua University, China and QI-ANXIN Technology Research Institute, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485832.3488012

Reference74 articles.

1. Identification and Detection of Phishing Emails Using Natural Language Processing Techniques

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding Characteristics of Phishing Reports from Experts and Non-Experts on Twitter;IEICE Transactions on Information and Systems;2024-07-01

2. On SMS Phishing Tactics and Infrastructure;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. VeriSMS: A Message Verification System for Inclusive Patient Outreach against Phishing Attacks;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Show Criminals’ True Color: Chinese Variant Toxic Text Restoration Based on Pointer-Generator Network;Lecture Notes in Computer Science;2024

5. PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names;Annual Computer Security Applications Conference;2023-12-04

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