Internet-based Social Engineering Attacks, Defenses and Psychology: A Survey
March 15, 2022 Β· The Cartographer Β· + Add venue
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Internet-based Social Engineering Attacks, Defenses and Psychology: A Survey"
Evidence collected by the PWNC Scanner
Authors
Theodore Longtchi, Rosana MontaΓ±ez Rodriguez, Laith Al-Shawaf, Adham Atyabi, Shouhuai Xu
arXiv ID
2203.08302
Category
cs.CR: Cryptography & Security
Cross-listed
cs.HC
Citations
4
Last Checked
3 days ago
Abstract
Social engineering attacks are a major cyber threat because they often serve as a first step for an attacker to break into an otherwise well-defended network, steal victims' credentials, and cause financial losses. The problem has received due amount of attention with many publications proposing defenses against them. Despite this, the situation has not improved. In this paper, we aim to understand and explain this phenomenon by looking into the root cause of the problem. To this end, we examine the literature on attacks and defenses through a unique lens we propose -- {\em psychological factors (PFs) and techniques (PTs)}. We find that there is a big discrepancy between attacks and defenses: Attacks have deliberately exploited PFs by leveraging PTs, but defenses rarely take either of these into consideration, preferring technical solutions. This explains why existing defenses have achieved limited success. This prompts us to propose a roadmap for a more systematic approach towards designing effective defenses against social engineering attacks.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Cryptography & Security
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
The Limitations of Deep Learning in Adversarial Settings
R.I.P.
π»
Ghosted
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
R.I.P.
π»
Ghosted
Spectre Attacks: Exploiting Speculative Execution
R.I.P.
π»
Ghosted
How To Backdoor Federated Learning
R.I.P.
π»
Ghosted