Ataki na urządzenia mobilne i metody ich wykrywania
1
kierownik Zespołu Złożonych Systemów,
Instytut Automatyki i Informatyki Stosowanej, Wydział Elektroniki i Technik Informacyjnych,
Politechnika Warszawska
2
Wydział Elektroniki i Technik Informacyjnych, Politechnika Warszawska
Publication date: 2023-02-20
Cybersecurity and Law 2023;9(1):95-107
KEYWORDS
cybersecuritycyberattack detectionmobile applicationsartificialintelligencemachine learningartificial neural networksdeep learning
ABSTRACT
Individual protection of autonomous systems using simple analysis of transmitted
messages is unfortunately becoming insufficient. There is a clear need for new
solutions using data from multiple sources, integrating various methods, mechanisms
and algorithms, including Big Data processing and data classification techniques using
artificial intelligence methods. The quantity, quality, reliability and timeliness of data and
information about the network situation, as well as the speed of its processing, determine
the effectiveness of protection. The paper presents examples of the application
of various artificial intelligence techniques for detecting attacks on ICT systems. Attention
is focused on the application of deep learning methods for the detection of malicious applications installed on mobile devices. The effectiveness of the presented solutions
was confirmed by numerous simulation experiments conducted on real data. Promising
results were obtained.
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| ISSN: | 2658-1493 |
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