Cybersecurity

Cybersecurity examines threats to information systems and data integrity, including the treatment of disinformation as a formal cyber threat. This perspective applies classical cybersecurity principles—such as defense-in-depth, threat modeling, and adversarial analysis—to the problem of false and manipulated information.

Key perspectives

Disinformation as a cyber threat: Recent work frames disinformation and misinformation as cybersecurity concerns rather than purely sociological or media phenomena. This framing enables the application of time-tested security principles, including:

• Defense-in-depth: Multiple layers of defense (network, device, user level) so that compromise of one layer does not compromise the whole system
• Threat modeling: Systematically enumerating plausible attack scenarios and adversary capabilities
• Adversarial analysis: Studying attack techniques and developing countermeasures
• Information sharing: Feedback loops between detection systems and defense mechanisms

Related concepts

• Disinformation — false information created with intent to deceive
• Fake content detection — computational methods to identify false content
• Adversarial Machine Learning — robustness against attacks and evasion
• Deepfakes — synthetic media as a threat vector

Key papers

• Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective — comprehensive perspective on disinformation 2.0 as a cybersecurity threat; proposes four attack scenarios enabled by AI and a defense-in-depth approach with four protective layers