Report: Cybersecurity in Q4 2017

The 21st century is undoubtedly the age of technology. Computers, laptops, smartphones, tablets, IoT devices, cars and also people and companies are connected to the network. It is estimated that their number will exceed 50 billion by 2020. Such a solution facilitates work and everyday life, but at the same time raises threats on a previously unknown scale. Modern cybersecurity is facing many…

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Machine learning algorithms are more frequently used in applications connected with cybersecurity, in particular in systems for detecting and preventing network attacks. The functioning of these systems is frequently based on network traffic monitoring and detecting the suspicious activities of users. Machine learning enables detecting such activities without the need for the manual creating…

Owing to technologies which allow for large volume data storage and analysis, companies are able to fulfil tasks which so far have been impossible. Such tasks include widely understood network security, also detecting hazards and attacks. In the past, such activities were performed only by qualified analysts of network security by monitoring data and creating proper rules for detecting…

Since mobile devices are more and more popular, there is the increase in the number of applications available for such devices. Apart from popular games, there are also applications which are an interface for services, such as: shops, banks, social portals and messengers. These are mostly simple interfaces which communicate via HTTP/HTTPS with a given service by means of API. As Grey Wizard,…

One of the most useful documents published cyclically by OWASP (Open Web Application Security Project) is a list of the 10 most-important errors in the security of web applications. Apart from DDoS attacks on network infrastructure (network and transport layer according to the OSI model) attacks on the application layer are becoming more and more popular. Just look at Akamai's last report to…

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