Home - Information Security

January 26, 2026

Blockchain and Cryptocurrencies in Online Casinos: A New Era of Safe Gambling

September 10, 2025

The Role of Honeypots in Monitoring Cyber Attacks

September 1, 2025

7 Ways Cyber Experts Predict and Stop Attacks

September 30, 2024

Microsoft Technologies in Healthcare: New Opportunities

October 26, 2023

Redefining the Landscape of Online Privacy and Security

July 28, 2023

A Comprehensive Guide for Safe Online Gambling

July 27, 2023

Bolstering Cybersecurity in Today’s Connected World

June 22, 2023

Online Anonymity and Security – Trends 2023

April 20, 2023

Fortifying the Digital Frontier: Cutting-Edge Strategies for Robust Security and Data Protection

April 20, 2023

Shielding Your Cyber Kingdom: Innovative Strategies for Robust Security Data Protection

Information Security

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Protect your smartphone

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How can you monitor the number of attacks against the company’s infrastructure? One way is to install special systems called honeypots. A honeypot is a trap that allows you to record, in whole or in part, the sequence of actions that an attacker takes.

For a long time, we have divided cybercriminals into two groups: amateurs and professionals. The first were bombed with affordable malware and indulged in petty hooliganism. The latter developed their own utilities, aiming at big business and government. The approach is clear and simple. The only problem is that the hackers themselves have already gone beyond this pattern. And since you need to know the enemy by sight, then we at JSOC decided to approach the division of hackers and the definition of their tools, methods and goals from the other side. As a result, we got 5 levels of intruders.

CPUs and GPUs have different architectures and different use cases. The CPU is the brain of most of our electronic devices. They do a lot of different things well. These are very general-purpose processors that coordinate a wide range of tasks that a computer performs. On the other hand, GPUs are much more specialized computing systems. They are designed for efficient processing of 3D images, but rendering graphics is a very large computational load on matrix arithmetic. The types of computation in which GPUs are unmatched are called parallel computations, meaning they are tasks that can be broken down into smaller, independent computations and performed concurrently. And this potential has atypical applications.

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