Deepfakes use machine learning and artificial intelligence to manipulate video and audio clips in a way that fabricates reality and prompts negative responses. Fraudsters are using deepfake technology to commit fraud by impersonating public figures and celebrities through apps that allow for voice and image cloning. Deepfakes also manipulate biometrics like face recognition, voice recognition, and fingerprints, making them difficult to disprove in courts of law. Possible remedies include training, awareness campaigns, good procedures, and controls to address the threats posed by deepfakes.

1. DEEPFAKES

2. A NEWCYBER THREAT

4. UNDERSTANDING “DEEPFAKES”
• Uses Machine learning an aspect of Artificial Intelligence .
• It manipulates Video or Audio clips to fabricate reality, to prompt
negative response from the target audience.

5. • Fraudsters too are using Deepfakes to commit their frauds.
• The user name Deepfakes come from the notorious website Reddit in
2017 though now impersonations are forbidden on this site.
• As of 2019 it is estimated 14,600Deepfake Videos existed and posted
online.

6. • Deepfake tools are many.
• Fraudsters might have used the Deepfake technology .
• Deepfake technology is going to be the future threat by fraudsters as
it is easy to use many tools that are available to do voice cloning etc.
• Fraudsters cheat people through deepfake apps. By impersonating
voice, images etc of public figures and celebrities.

7. • Deepfakes are also used to manipulate Biometrics-like-Face
recognition, Voice recognition and Finger prints.
• It is at times very difficult too to prove in courts of law a Deepfake
instances besides involves costs too.
• Thus deepfakes are used by fraudsters for stock profiteering,
extortion and virtual kidnapping etc.

8. Possible Remedies:
1.Training
2.Awareness of deepfake usage and consequences
3. Good procedures in place
4. Good controls.