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An empirical study on the susceptibility to social engineering in social networking sites: the case of Facebook.

, , and . Eur. J. Inf. Syst., 26 (6): 661-687 (2017)

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A Survey and Classification of Security and Privacy Research in Smart Healthcare Systems.. IEEE Access, (2019)What Message Characteristics Make Social Engineering Successful on Facebook: The Role of Central Route, Peripheral Route, and Perceived Risk.. Information, 10 (6): 211 (2019)Individual and Interpersonal Factors That Influence Dis-closure of Personal Identifiable Information on Social Net-Working Sites., , and . J. Softw., 17 (5): 168-181 (2022)A Deep Learning Network-on-Chip (NoC)-Based Switch-Router to Enhance Information Security in Resource-Constrained Devices., , , , , , and . J. Circuits Syst. Comput., 33 (4): 2450064:1-2450064:30 (March 2024)Social Engineering in Social Networking sites: How Good becomes evil., , , and . PACIS, page 271. (2014)Social engineering in social networking sites: Affect-based model., , , and . ICITST, page 508-515. IEEE, (2013)Inattentional Blindness Factors that Make People Vulnerable to Security Threats in Social Networking Sites.. J. Comput., 14 (3): 184-194 (2019)Measuring Source Credibility of Social Engineering Attackers on Facebook., , and . HICSS, page 3686-3695. IEEE Computer Society, (2016)Character-level word encoding deep learning model for combating cyber threats in phishing URL detection., , , and . Comput. Electr. Eng., (2022)An empirical study on the susceptibility to social engineering in social networking sites: the case of Facebook., , and . Eur. J. Inf. Syst., 26 (6): 661-687 (2017)