![]() ![]() The Binance executive was surprised when he started receiving thank-you messages about a Zoom meeting he never attended. Another interesting similar case became known in 2022, when scammers tried to fool the largest cryptocurrency platform, Binance. The second known case was in 2020 in the UAE when, also using voice deepfake, attackers managed to deceive a bank manager and steal $35 million! The scammers moved from emails and social media profiles to more advanced methods of attack using voice deepfake. The attacker impersonated the CEO and tried to steal €220,000. Scammers used voice-changing technology to rob a British energy company. The first known case of an attack on a business was in 2019. Early on it was viewed as a potential threat now it’s for real. Many different scenarios were assumed: school bullying, fraudulent phone calls with requests to transfer money, extortion from company managers by blackmail, industrial espionage. Celebrities were the first to suffer from this, but even lesser-known folks began to worry about it. The first and most obvious area where deepfake immediately found its place was pornography. It’s a well-made deepfake, and it shows how easy it has become to deceive our perception of reality. Facial expressions, hair… all that is of a high quality and there are even no noticeable video artifacts. It looks very realistic, but it’s not Morgan Freeman. In July 2021 enthusiasts published a deepfake video of Morgan Freeman talking about the perception of reality. This trend makes deepfake one of the most dangerous technologies of the future. This is exacerbated by a reduction in the cost of information storage and processing and the emergence of open source software. In the past, the quality of such fakes was low, and they were easily detected by the naked eye now it’s become much more difficult to recognize a fake. But it’s the use of neural networks and deep learning that has allowed researchers to automate this process and apply it to images, video and audio formats. The idea of creating fakes by combining real and generated data is not new. ![]() Deepfake technologies have been developing rapidly for about five years already. View daily reports about your child's activity.įor more information, see My Kaspersky online help, section Protecting children.Deepfake is the name given technology that creates convincing copies of images, videos and voices using AI.Check your child's social networks posts.You can also monitor your child's activity: Select a safe area for your child on a map.Block access to all websites or set up an allowlist of websites.Restrict access to specific websites and applications.Add, edit, or delete children's details.You can review and adjust the following settings on My Kaspersky: After you change Kaspersky Safe Kids settings, they are synced between the My Kaspersky website and the installations of Kaspersky Safe Kids on your children's devices. My Kaspersky allows to connect social network to your child's profile and provides its monitoring.Īll Kaspersky Safe Kids settings are managed in the Kids section on the My Kaspersky website.If a child sends a request for additional screen time from Windows computer, you are able to respond only through My Kaspersky portal.My Kaspersky provides application and internet usage reports.Through My Kaspersky you can edit child's profile.We are working on adding these features to mobile devices but currently they are available through My Kaspersky only: You can manage the settings for your children through My Kaspersky or your mobile devices.ĭifferences between settings on My Kaspersky and mobile devices How to manage settings for your children? ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |