Collaborate Disseminate
There are generally accepted principles that developers of all secure operating systems strive to apply, but there can be completely different approaches to implementing these principles. Continue reading Features of secure OS realization
There are generally accepted principles that developers of all secure operating systems strive to apply, but there can be completely different approaches to implementing these principles. Continue reading Features of secure OS realization
At Kaspersky Lab, machine learning can be found in a number of different areas, especially when dealing with the interesting task of spam detection. This particular task is in fact much more challenging than it appears to be at first glance. Continue reading Machine learning versus spam
With the arrival of Apple Pay and Samsung Pay in Russia, many are wondering just how secure these payment systems are, and how popular they are likely to become. In our opinion, these technologies require a more detailed examination and a separate evaluation of the threats they face. Continue reading Loop of Confidence
Machine learning has long permeated all areas of human activity. I would like to warn about, or dispel, some of the misconceptions associated with the use of ML in the field of cybersecurity. Continue reading Five myths about machine learning in cybersecurity
The report comprises two papers in which we analyze all existing methods of authentication used in ATMs and those expected to be used in the near future, including: contactless authentication through NFC, one-time password authentication and biometric authentication systems, as well as potential vectors of attacks using malware, through to network attacks and attacks on hardware components. Continue reading Future attack scenarios against ATM authentication systems
In this article, we analyze statistics for visits by children to websites belonging to categories of undesirable content, as defined in the Parental Control module. These statistics allow us to estimate which categories of undesirable websites children visit most often. Continue reading Small users in a big network