Smart homes, self-driving cars, robot assistants… We are surrounded by innovative technologies based on algorithms that resemble the work of the human brain in their specificity. They are called in different ways: algorithms using machine learning, deep learning, and sometimes Read more…
On March 11, 2020, WHO announced the pandemic of the new coronavirus (Covid-19), which was first detected in the Chinese city of Wuhan in December 2019. Since then, the virus has spread rapidly throughout the planet, causing acute respiratory infections. Read more…
You can cheat both a fingerprint scanner on a smartphone, and a large big data system. Today we’ll talk about measures to ensure the information security of biometric data: multifactor authentication, protection of digital templates and multiple verification. What is Read more…
In this article, we will look at how hackers cheat on a fingerprint scanner, confuse Big Data with street video analytics systems and impersonate a different person using the latest Machine Learning technology called Deep Fake. From the phone to Read more…
5 most popular methods of biometric identification Modern methods of biometrics: • recognition of physiological signs of the human body that do not change significantly over time and remain with their carrier throughout its life (fingerprints, face, iris and retina, Read more…
In the last article, we talked about the largest data leaks from biometric Big Data systems. Today we look at the characteristic vulnerabilities of biometrics: the natural limitations of personal identification methods using machine learning (ML) and targeted attacks. 2 Read more…
How biometric personal data flows: 7 striking examples over the past 5 years In August 2019, more than 27.8 million records with a total volume of 23 GB were publicly available, including biometric information (fingerprints and photos), unencrypted user logins Read more…
Today, information is updated very quickly. It is difficult to handle manually, and it takes a lot of time, you can miss important things. Therefore, special programs have been created – web scrapers that automatically analyze and collect the data Read more…
Why Machine Learning is needed in Cybersecurity: 5 areas of automation In 2018, the CIA, the FBI, the US Department of Defense, the United Kingdom, the International Olympic Committee, the People’s Bank of China, the Marriott hotel chain, as well Read more…
Among the threats of unauthorized use of Big Data, personal data leaks are the most dangerous. When information about the identities of hundreds of thousands of people around the world is once again “leaked” to the public, companies are again Read more…