Impact of Media Forensics and Deepfake in Society

Nowroozi, Ehsan; Seyedshoari, Seyedsadra; Mohammadi, Mohammadreza; Jolfaei, Alireza

doi:10.1007/978-3-031-10706-1_18

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…The weakness and exploits of human psychology (greed, curiosity, emotions) promote social engineering and other attacks that are difficult to counter through software or hardware solutions 83,140 . The attacker can gain control over computers and information and can use it for illegal and threatening activities 140 . In such a scenario, even blockchain technology's security can't secure the user from herself 134 …”

Section: Discussion Of the Endpoint Vulnerabilitiesmentioning

confidence: 99%

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A taxonomy of endpoint vulnerabilities and affected blockchain architecture layers

Noor,

Mustafa

2024

Concurrency and Computation

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Blockchain technology has gained significant attention and adoption due to its decentralized nature, and promising secure and immutable transactions. The interpretation of Blockchain's components has been presented in an innovative manner, illustrating the features they enable or manage. However, its networks do not appear so immune to vulnerabilities like any other technological system. Among the typical weaknesses, endpoint vulnerabilities refer to weaknesses in the endpoints that interact with the blockchain network. They pose a significant risk to the security and integrity of the entire system. These vulnerabilities can affect blockchain networks including smart contract vulnerabilities, wallet vulnerabilities, and communication vulnerabilities. In view of the absence of any viable taxonomic description and associated value, we attempted a novel comprehensive classification of endpoint vulnerabilities. The proposed taxonomy is designed to logically categorize and classify the various endpoint vulnerabilities through a pictorial representation. It encompasses wallet vulnerabilities, malware, cryptojacking and human negligence. Additionally, this paper proposes a novel approach to mapping endpoint vulnerabilities to the blockchain abstract layer. It gives a unique way to study the vulnerabilities and layers' relation. Finally, the corresponding violated principles behind the vulnerabilities have been identified and indicated. By providing a structured taxonomy of endpoint vulnerabilities, this paper aims to enhance the understanding of the security challenges associated with blockchain applications. By understanding and addressing the taxonomy of endpoint vulnerabilities, blockchain practitioners and researchers can enhance blockchain networks' overall security and trustworthiness, paving the way for broader adoption and utilization of this transformative technology. It may have implications in terms of identifying, linking, developing control, and finally mitigating endpoint vulnerabilities in the rapidly changing environment.

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Section: Discussion Of the Endpoint Vulnerabilitiesmentioning

confidence: 99%

“…83,140 The attacker can gain control over computers and information and can use it for illegal and threatening activities. 140 In such a scenario, even blockchain technology's security can't secure the user from herself. 134 The mere solution is to educate the users about the approaches of social engineering fraud.…”

Section: Human Negligencementioning

confidence: 99%

A taxonomy of endpoint vulnerabilities and affected blockchain architecture layers

Noor,

Mustafa

2024

Concurrency and Computation

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“…Deepfakes have gained attention due to their ability to generate convincing forgeries that can be indistinguishable from authentic recordings. This technology employs a two-step process: training a DNN on a large dataset of real media to learn patterns and then using that knowledge to generate new content by altering or replacing elements within the media (Nowroozi et al ., 2022).…”

Section: Introductionmentioning

confidence: 99%

Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications

AL-KHAZRAJI,

SALEH,

KHALID

et al. 2023

EPSTEM

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Deepfake technology, which allows the manipulation and fabrication of audio, video, and images, has gained significant attention due to its potential to deceive and manipulate. As deepfakes proliferate on social media platforms, understanding their impact becomes crucial. This research investigates the detection, misinformation, and societal implications of deepfake technology on social media. Through a comprehensive literature review, the study examines the development and capabilities of deepfakes, existing detection techniques, and challenges in identifying them. The role of deepfakes in spreading misinformation and disinformation is explored, highlighting their potential consequences on public trust and social cohesion. The societal implications and ethical considerations surrounding deepfakes are examined, along with legal and policy responses. Mitigation strategies, including technological advancements and platform policies, are discussed. By shedding light on these critical aspects, this research aims to contribute to a better understanding of the impact of deepfake technology on social media and to inform future efforts in detection, prevention, and policy development.

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Anti Forensic Measures and Their Impact on Forensic Investigations

Schmitt,

Kul

2023

Advances in Information Security

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Impact of Media Forensics and Deepfake in Society

Cited by 9 publications

References 34 publications

A taxonomy of endpoint vulnerabilities and affected blockchain architecture layers

A taxonomy of endpoint vulnerabilities and affected blockchain architecture layers

Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications

Anti Forensic Measures and Their Impact on Forensic Investigations

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