Distinguishing between real and fake video is becoming challenging nowadays. The emergence of deepfake technology is due to the artificial intelligence application in a video or image, to portray an action or speech. Some of AI software could be downloaded and used by the public easily without so much of technical knowledge. With the help of social media platform and peoplès frequent participation in sharing a news or information, deepfake can reach millions of people in a short span of time and create a bad impact to the organization or people involved. There is no exception or accurate prediction on the individual or organisation who will be targeted. This paper will discuss on the impact and potential risk to the organization which have been deepfake video victim. A review on how an organization should handle the situation by considering on risk management, business continuity and disaster recovery actions that should be taken will be discussed besides evaluating the defense techniques in improving the organizational security to prevent from the deepfake ransomware. Lastly, a set of guidelines will be reviewed for the employees in information sharing and awareness towards the deepfakes ransomware.
Skip Nav Destination
Article navigation
25 January 2024
INTERNATIONAL VIRTUAL CONFERENCE ON MACHINE LEARNING APPLICATIONS IN APPLIED SCIENCES AND MATHEMATICS: IVCMASM2022
30–31 March 2022
Chennai, India
Research Article|
January 25 2024
Deepfake impact, security threats and potential preventions
Subashini Kalaiarasu;
Subashini Kalaiarasu
a)
School of Technology, Asia Pacific University of Technology & Innovation
, Kuala Lumpur, Malaysia
Search for other works by this author on:
Nor Azlina Abd Rahman;
Nor Azlina Abd Rahman
b)
School of Technology, Asia Pacific University of Technology & Innovation
, Kuala Lumpur, Malaysia
b)Corresponding author: [email protected]
Search for other works by this author on:
Khalida Shajaratuddur Harun
Khalida Shajaratuddur Harun
c)
School of Technology, Asia Pacific University of Technology & Innovation
, Kuala Lumpur, Malaysia
Search for other works by this author on:
AIP Conf. Proc. 2802, 150011 (2024)
Citation
Subashini Kalaiarasu, Nor Azlina Abd Rahman, Khalida Shajaratuddur Harun; Deepfake impact, security threats and potential preventions. AIP Conf. Proc. 25 January 2024; 2802 (1): 150011. https://doi.org/10.1063/5.0183097
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Students’ mathematical conceptual understanding: What happens to proficient students?
Dian Putri Novita Ningrum, Budi Usodo, et al.
Related Content
A study on deep fake identification techniques using deep learning
AIP Conf. Proc. (June 2023)
Deepfake audio detection via MFCC features and mel-spectrogram using deep learning
AIP Conf. Proc. (March 2025)
De-faketection: Deepfake detection via convolutional neural network (DFT)
AIP Conf. Proc. (January 2024)
A deep learning based design for speech signal deepfake generation and detection
AIP Conf. Proc. (January 2024)