Category Archives: Intelligent algorithms for detecting network threats in cloud computing environment

Hacker attacks on cloud services

Nowadays, nobody surprised by news about another hackers attempt to break into databases, bank accounts and other confidential information. All of this has already become habitual and ordinary. Services that prevent and investigate cybercrime, usually find out the causes of break-ins and its technology very quickly, but capturing the criminals and prevention of following attacks are at a… Read more »

Scientific and technical results of work at the first stage of ASREX (applied scientific research and experimental development)

While completing the work at the first stage of applied scientific research on the topic “Development of intelligent algorithms for detecting network threats in cloud computing environment and protective methods against them, based on traffic dynamics analysis and determination of deviations in user behavior” the following results were obtained: An analytical review of modern scientific and technical, normative,… Read more »

Artificial intelligence and digital economy

From December 4th to 5th, 2017 First International Scientific and Practical Conference “Step into the Future: Artificial intelligence and Digital Economy” was held at the Moscow State University of Management, within its framework took place the exhibition of leading developing companies in the field of artificial intelligence: CoBrain, iRavlov, IQmen, Adeptic and other companies. The conference was organized… Read more »

Developing information security system in the cloud environment

Developing algorithms and software solutions for detecting network attacks and protecting in cloud computing systems based on intellectual analysis of user behavior and ultra high-volume traffic patterns. Keywords network attacks, DDOS, information security, network threat detection, cloud computing, cloud data protection, threats data model, network traffic analysis, data networks, Markov networks, pattern recognition, machine learning, self-learning, data analysis… Read more »