Phishing 2.0: Leveraging Cyber Threat Intelligence to Combat Deepfake-Enhanced Social Engineering

Standard phishing techniques have continued to improve in sophistication and devastating effect, enhanced by Deepfake Technology, referred to as Phishing 2.0. Due to enhanced realistic video and voice alterations, deepfakes have greatly improved the prospects of social engineering attacks so that they become challenging to detect. All these prolonged strategies present grave difficulties to conventional security models, proving why sophisticated Cyber Threat Intelligence (CTI) systems are necessary. Rising cyber technologies, AI-supported tools, and Deepfake technologies conclude that Cybersecurity Policies must be adapted. AI, in cybersecurity, plays a crucial role in these advanced threats. By progressing with the CTI frameworks even more, organizations can leverage AI and Machine Learning (ML) capabilities to predict, identify threats, and anticipate potential risks.

Authors

Publication Details

Journal
International Journal of Innovative Research in Science Engineering and Technology
Published
2025-02-10
DOI
https://doi.org/10.15680/ijirset.2025.1402003
Citations
1
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

Phishing 2.0: Leveraging Cyber Threat Intelligence to Combat Deepfake-Enhanced Social Engineering

Alex Mathew, Rodas Federico
1 citations
International Journal of Innovative Research in Science Engineering and Technology
Spam and Phishing Detection
3.25
article

Phishing 2.0: Leveraging Cyber Threat Intelligence to Combat Deepfake-Enhanced Social Engineering

Alex Mathew, Rodas Federico
article en
1 citations

Abstract

Standard phishing techniques have continued to improve in sophistication and devastating effect, enhanced by Deepfake Technology, referred to as Phishing 2.0. Due to enhanced realistic video and voice alterations, deepfakes have greatly improved the prospects of social engineering attacks so that they become challenging to detect. All these prolonged strategies present grave difficulties to conventional security models, proving why sophisticated Cyber Threat Intelligence (CTI) systems are necessary. Rising cyber technologies, AI-supported tools, and Deepfake technologies conclude that Cybersecurity Policies must be adapted. AI, in cybersecurity, plays a crucial role in these advanced threats. By progressing with the CTI frameworks even more, organizations can leverage AI and Machine Learning (ML) capabilities to predict, identify threats, and anticipate potential risks.

International Journal of Innovative Research in Science Engineering and TechnologyVol. 14(02)
Openalex Percentile: Top 11%
Spam and Phishing Detection
3.25
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