Information Security

Data protection

The Importance of Encryption in Protecting Corporate Data

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Staying Warm in the Backcountry: Top Sitka Pieces for Canadian Expeditions

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Innovations in Sports Betting: The Role of Technology in 2023

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Sports Betting and Mental Health: Balancing Risk and Well-Being

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Online Anonymity and Security – Trends 2023

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Making IoT secure: the overview of the latest trends in IoT security protocols

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How a Digital Consultant Can Help Your Business Stay Competitive in a Changing Landscape

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Protect your smartphone

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How to protect your data from cybercriminals: detailed instructions

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Security in connected things. Are the IoT users protected enough?

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computersecurity

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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