* update 2023-11-15 06:16:35

arXiv_db/Malware/2023.md

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 </details>
 
+<details>
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+<summary>2023-11-12 17:56:42 - More Than 50% Of The Time, Users Detect Real SMS as Fake: A Smishing Detection Study Of US Population</summary>
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+- *Daniel Timko, Daniel Hernandez Castillo, Muhammad Lutfor Rahman*
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+- `2311.06911v1` - [abs](http://arxiv.org/abs/2311.06911v1) - [pdf](http://arxiv.org/pdf/2311.06911v1)
+
+> With the booming popularity of smartphones, threats related to these devices are increasingly on the rise. Smishing, a combination of SMS (Short Message Service) and phishing has emerged as a treacherous cyber threat used by malicious actors to deceive users, aiming to steal sensitive information, money or install malware on their mobile devices. Despite the increase in smishing attacks in recent years, there are very few studies aimed at understanding the factors that contribute to a user's ability to differentiate real from fake messages.   To address this gap in knowledge, we have conducted an online survey on smishing detection with 214 participants. In this study, we presented them with 16 SMS screenshots and evaluated how different factors affect their decision making process in smishing detection. Next, we conducted a follow-up survey to garner information on the participants' security attitudes, behavior and knowledge. Our results highlighted that attention and security behavioral scores had a significant impact on participants' accuracy identifying smishing messages. Interestingly, we found that participants had more difficulty identifying real messages from fake ones, with an accuracy of 64% with fake messages and 46\% with real messages. Understanding these factors is pivotal to bolstering users' resilience against these threats and to create a safer digital environment.
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+</details>
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