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pro vyhledávání: '"Rahman, Muhammad Lutfor"'
Autor:
Timko, Daniel, Rahman, Muhammad Lutfor
While smishing (SMS Phishing) attacks have risen to become one of the most common types of social engineering attacks, there is a lack of relevant smishing datasets. One of the biggest challenges in the domain of smishing prevention is the availabili
Externí odkaz:
http://arxiv.org/abs/2402.18430
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 decei
Externí odkaz:
http://arxiv.org/abs/2311.06911
Autor:
Timko, Daniel, Rahman, Muhammad Lutfor
Publikováno v:
Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 1-12, 2023
Smishing, also known as SMS phishing, is a type of fraudulent communication in which an attacker disguises SMS communications to deceive a target into providing their sensitive data. Smishing attacks use a variety of tactics; however, they have a sim
Externí odkaz:
http://arxiv.org/abs/2309.07447
The California Consumer Privacy Act (CCPA) secures the right to Opt-Out for consumers in California. However, websites may implement complex consent mechanisms that potentially do not capture the user's true choices. We investigated the user choices
Externí odkaz:
http://arxiv.org/abs/2309.00776
Facial Recognition Technology (FRT) is a pioneering field of mass surveillance that sparks privacy concerns and is considered a growing threat in the modern world. FRT has been widely adopted in the Kingdom of Saudi Arabia to improve public services
Externí odkaz:
http://arxiv.org/abs/2307.07671
Text phish messages, referred to as Smishing is a type of social engineering attack where fake text messages are created, and used to lure users into responding to those messages. These messages aim to obtain user credentials, install malware on the
Externí odkaz:
http://arxiv.org/abs/2212.13312