Web applications play a crucial role in modern businesses, offering various services and often exposing sensitive data that can be enticing to attackers. As a result, there is a growing interest in finding innovative approaches for discovering …

Machine learning has proven to be a valuable tool for automated malware detection, but machine learning systems have also been shown to be subject to adversarial attacks. This paper summarizes and compares related work on generating adversarial …

This article proposes four optimizations of indifferentiable hashing onto (prime-order subgroups of) ordinary elliptic curves over finite fields $$\mathbb {F}_{q}$$ F q . One of them is dedicated to elliptic curves E without non-trivial …

Because of its world-class results, machine learning (ML) is becoming increasingly popular as a go-to solution for many tasks. As a result, antivirus developers are incorporating ML models into their toolchains. While these models improve malware …

This article describes the current situation with incorporating hybrid post-quantum key exchange into the internet security protocols taking TLS 1.3 and IKEv2 as examples.

A large amount of new malware is constantly being generated, which must not only be distinguished from benign samples, but also classified into malware families. For this purpose, investigating how existing malware families are developed and …

I present an approach for designing fast public key encryption cryptosystems using random primitives, white-box cryptography techniques and obfuscated error permutation. An encryption speed of such systems allows to use them for “on-the-fly” …

Dirbusting is a technique used to brute force directories and file names on web servers while monitoring HTTP responses in order to enumerate server contents. Such a technique uses lists of common words to discover the hidden structure of the …

The manuscript is devoted to the study of human behavior in stressful situations using machine learning methods, which depends on the psychotype, socialization and a host of other factors. Global mobile subscribers lost approximately $53 billion …

The trends in the introduction of industrial and logistics robots into the social sphere of activity in order to ensure the safety of civilian facilities, the current problems of the growth of crime in the Russian Federation, as well as the …

Modern speech synthesis technologies can be used to deceive voice authentication systems, phone scams, or discredit public figures. An urgent task is to detect synthesized speech to protect against the threat of voice substitution attacks. The …

Biometric vein recognition systems are vulnerable to presentation attacks. Traditionally, researchers have used a near-infrared (NIR) drawing of the user’s vascular bed to create a presentation attack instrument (PAI). This paper investigates the …

Autonomous Vehicles (CAVs) are currently seen as a viable alternative to traditional vehicles. However, CAVs will face serious cyber threats because many components of the driving system are based on machine learning models and are vulnerable to …

In earlier years, most malware attacks were against Android smartphones. Unfortunately, for the past few years, the trend has shifted towards attacks against the Apple iOS smartphone. Consequently, an in-depth analysis of the malware and iOS …

In the modern world, economic relations, business, and markets are increasingly being transferred to the online world. Accordingly, the percentage of a new type of financial fraud – digital crimes – is also growing. In Russia, they are one of the …