Malware Searching Methods at FML-Architecture

A matrix-logical method for diagnosing malicious components is being developed, which has high performance due to parallel operations. A vector-matrix method for searching malware in CPS is presented, which uses functionality and malware responses to test datasets. All models and algorithms have bee...

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Bibliographic Details
Published inEast-West Design and Test Symposium pp. 1 - 5
Main Authors Hahanov, V.I., Saprykin, A.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.09.2021
Subjects
cloud-edge computing
Computational modeling
Computer viruses
cyber-physical system
logic-vector analysis
Machine learning
Machine learning algorithms
malware
malware detection
ML-computing
Neural networks
Productivity
sandbox
Search problems
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ISSN2472-761X
DOI10.1109/EWDTS52692.2021.9581024

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Summary:A matrix-logical method for diagnosing malicious components is being developed, which has high performance due to parallel operations. A vector-matrix method for searching malware in CPS is presented, which uses functionality and malware responses to test datasets. All models and algorithms have been verified in the program code and are ready for implementation in the cloud federated machine learning system for malware detection. The algorithms proposed in the study have linear or quadratic computational complexity. Due to the parallel execution of register logical operations, procedures for analyzing matrices or tables outperform their analogs by two to 10 times in performance.
ISSN:2472-761X
DOI:10.1109/EWDTS52692.2021.9581024