Social Engineering Attacks: A Survey
By Fatima Salahdine, Naima Kaabouch. Future Internet, 2019
422 citations recorded by the source corpus.
The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health records, and passwords. Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures.
Subfields: Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/8220aa685354d53868899a08ca97c74c669f7c4a
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In Information Systems
Citations in the corpus
- “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “Given that social engineering attacks currently make up the bulk of cyber-attacks experienced online (Salahdine & Kaabouch, 2019), it is anticipated that such attacks in the metaverse are expected to become considerably easier and more powerful, and hence more common (Di Pietro et al., 2021).”
- IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, background): “In case of a network intrusion or data leaking, these social properties and social context data can be used to launch a socially engineered attack on the SIoT network [43].”