Fake COVID-19 videos detector based on frames and audio watermarking

Tarhouni, Nesrine; Masmoudi, Salma; Charfeddine, Maha; Amar, Chokri Ben

doi:10.1007/s00530-022-01006-5

Cited by 3 publications

(2 citation statements)

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“…Fortunately, thanks to computer scientist researcher and digital forensics professionals, there are technologically possible solutions such as digital watermarking [64] [65] [66] that can assist prevent these abuses. Imperceptible digital watermarks are also used to validate the provenance, integrity, and authenticity of data [65]. In fact, a watermark can be hidden invisibly to a digital image by utilizing the Human Visual Model features [67], or inaudibly to a digital audio signal by exploiting the Human Psychoacoustic Model characteristics [68] [69].…”

Section: ) Watermarking Generated Contentmentioning

confidence: 99%

ChatGPT’s Security Risks and Benefits: Offensive and Defensive Use-Cases, Mitigation Measures, and Future Implications

Charfeddine,

Kammoun,

Hamdaoui

et al. 2024

IEEE Access

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ChatGPT has been acknowledged as a powerful tool that can radically boost productivity across a wide range of industries. It reveals potential in cybersecurity-related tasks such as social engineering. Nevertheless, this possibility raises important concerns regarding the thin line separating moral use of this technology from its harmful usage. It is imperative to address the challenges of distinguishing between legitimate and malevolent use of ChatGPT. This research paper investigates the many concerns of ChatGPT in cybersecurity, privacy and enterprise settings. It covers harmful attacker uses such as injecting malicious prompts, testing brute force attacks, preparing and developing ransomware attacks, etc. Defenders' proactive activities are also addressed, highlighting ChatGPT's significance in security operations and threat intelligence. These defensive operations are classified based on the National Institute of Standards and Technology cybersecurity framework. They involve analyzing configuration files, inquiring about authoritative server, improving security in various systems, etc. Moreover, secure enterprise practices and mitigations spread through five classes are proposed, with an emphasis on clear usage standards and guidelines establishment, personally identifiable information protection, adversarial attack prevention, watermarking generated content, etc. An integrated discussion digs into the interaction of offensive and defensive applications, covering ethical and practical concerns. Future attacks are also discussed, along with potential solutions such as content filtering and collaboration. Finally, a comparative analysis with recent research on ChatGPT security concerns is directed. The paper provides a thorough framework to comprehend the range of implications associated with ChatGPT, enabling the navigation of cybersecurity and privacy challenges.

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Section: ) Watermarking Generated Contentmentioning

confidence: 99%

ChatGPT’s Security Risks and Benefits: Offensive and Defensive Use-Cases, Mitigation Measures, and Future Implications

Charfeddine,

Kammoun,

Hamdaoui

et al. 2024

IEEE Access

Self Cite

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“…The major attention is to have a unique image representing copyright information embedding in a video material that can later be easily extracted the supplementary information use to claim for the copyright of the concern video. Since the video consisting voluminous data therefore the video contents must be requiring to compress before storing or transfer via internet in order to minimize the storage requirements and to support the real-time requirements [115][116][117].…”

Section: 4benefits and Open Challenges While Designing An Algorithmmentioning

confidence: 99%

Video data security: analysis, relevance and open challenges

2023

IJATEE

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With the rapid advancement of technology, ensuring authentication and security in communication over long distances has become a primary concern. The film industry is particularly vulnerable to the unauthorized distribution of digital videos, which can be easily disseminated to a global audience due to widespread internet access. Video watermarking has gained significant importance in various applications such as copyright protection, security, fingerprinting, copy control, and annotation. Watermarking, whether in the form of an image, audio, or video, is a technique used to embed additional information within a digital video signal. This embedded information is utilized for copyright owner detection. Consequently, several methods for digital video watermarking (DVW) have been developed to address this issue. Watermarking has emerged as a crucial means of verifying ownership, ensuring authenticity, and safeguarding copyrights. Researchers employ watermarking techniques to hide confidential information, which can be made either visible or obscured based on the user's requirements. This approach plays a vital role in determining the ownership of information. To ensure secure watermarking, an optimization process is often employed. This paper presents an overview of the diverse trends and techniques adopted in the field of digital watermarking. It aims to provide a comprehensive guide to research scholars interested in exploring this area of study.

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