Author:
Mishra Sandhya,Soni Devpriya
Publisher
Springer Nature Switzerland
Reference12 articles.
1. Almeida, T.A., Hidalgo, J.M.G., Yamakami, A.: Contributions to the study of SMS spam filtering: new collection and results. In: 11th ACM Symposium on Document Engineering, pp. 259–262 (2011). https://doi.org/10.1145/2034691.2034742
2. Pinterest: Smishing Dataset (2021). https://in.pinterest.com/seceduau/smishingdataset/?lp=true
3. Sonowal, G., Kuppusamy, K.S.: SmiDCA: an anti-smishing model with machine learning approach. Comput. J. 61(8), 1143–1157 (2018). https://doi.org/10.1093/comjnl/bxy039
4. Paytm: Beware of Fraudulent SMS (2021). https://www.paytmbank.com/blog/2020/06/beware-of-fraudulent-sms-calls-about-kyc-suspension-or-expiration-account-block-and-fake-rewards/
5. Paytm: Fraud Awareness: Stay informed about Phishing! (2021). https://blog.paytm.com/fraud-awareness-paytm-never-asks-for-your-password-otp-2eed50a24ed0 (2017)
Cited by
5 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