The Emerging Threats of Deepfake Attacks and Countermeasures

View on arXiv ← Back to list

Authors: Shadrack Awah Buo

Published: 2020-12-14 22:40:49+00:00

AI Summary

This paper reviews deepfake technology, its societal benefits, and its threats to businesses, politics, and judicial systems. It explores potential solutions, including technological countermeasures and awareness training, and suggests future research directions.

Abstract

Deepfake technology (DT) has taken a new level of sophistication. Cybercriminals now can manipulate sounds, images, and videos to defraud and misinform individuals and businesses. This represents a growing threat to international institutions and individuals which needs to be addressed. This paper provides an overview of deepfakes, their benefits to society, and how DT works. Highlights the threats that are presented by deepfakes to businesses, politics, and judicial systems worldwide. Additionally, the paper will explore potential solutions to deepfakes and conclude with future research direction.

Key findings

Deepfakes pose significant threats across multiple sectors. While technological solutions like CNNs show promise in detection, they are not foolproof and require further development. Preventative measures such as employee training and potential legislation are crucial to mitigate the risks posed by deepfakes.

Approach

The paper provides a literature review of deepfake technology, its applications, and its threats to various sectors. It examines existing and proposed solutions, including technological detection methods and preventative measures like employee training and potential legislation.

Datasets

UNKNOWN

Model(s)

Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs)

Author countries

← Previous