Black Hat Usa 2024 | Trainings Schedule: Your Guide To The Latest Security Skills

Black Hat USA 2024 | Trainings Schedule

Black Hat USA 2024 is an excellent opportunity to learn about the latest security threats and how to protect yourself from them. One of the training sessions will cover the growing threat of deepfake virtual kidnapping scams. This type of scam involves criminals using advanced technology to create realistic deepfakes of a victim’s loved ones. These deepfakes are then used to convince the victim that their loved one has been kidnapped and needs to be rescued. The criminals will often demand a large ransom payment, and they may even threaten the victim’s loved one if they don’t comply.

Deepfake virtual kidnapping scams are becoming increasingly sophisticated, and they can be very difficult to detect. Criminals are using increasingly realistic deepfakes, and they are targeting victims from all walks of life. This training session will teach you how to recognize the signs of a deepfake virtual kidnapping scam, and it will provide you with the tools you need to protect yourself from becoming a victim.

This training session will also cover the dangers of disinformation spread through impersonating well-established brands. This technique is used by criminals to trick people into believing that they are interacting with a legitimate brand. Once they have gained the victim’s trust, criminals can then use this information to steal their identity or money.

This training session will teach you how to recognize the signs of disinformation spread through impersonating well-established brands. It will also provide you with tips on how to protect yourself from becoming a victim of this type of scam.

Understanding deepfakes:

Deepfakes are synthetic media, such as videos and images, created using artificial intelligence (AI) to make it appear that a person is saying or doing something they did not actually say or do. These deepfakes are becoming increasingly realistic and are being used for a variety of purposes, including entertainment, education, and even propaganda.

How deepfakes are created:

Deepfakes are typically created using a type of AI called a generative adversarial network (GAN). GANs consist of two neural networks that compete with each other. One network is responsible for generating fake data, while the other network is responsible for detecting fake data. As the networks compete, they learn to become better at their respective tasks.

The dangers of deepfakes:

Deepfakes pose a significant threat to society because they can be used to spread misinformation, damage reputations, and even influence elections. For example, a deepfake video of a politician making a controversial statement could be used to damage their reputation or sway voters.

How to protect yourself from deepfakes:

There are several things you can do to protect yourself from deepfakes. First, be skeptical of any video or image that seems too good to be true. Second, try to verify the source of the media. If you’re not sure, you can always contact the source directly. Third, keep in mind that deepfakes are still relatively new technology, so there may not be any easy way to detect them. If you see a deepfake, it’s best to report it to the appropriate authorities.

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