Анализ и классификация методов обнаружения сетевых атак
АА Браницкий, ИВ Котенко - Информатика и …, 2016 - proceedings.spiiras.nw.ru
Аннотация В работе рассматриваются различные методы обнаружения сетевых атак.
Основное внимание уделяется построению обобщенной классификационной схемы …
Основное внимание уделяется построению обобщенной классификационной схемы …
Hybridization of computational intelligence methods for attack detection in computer networks
A Branitskiy, I Kotenko - Journal of Computational Science, 2017 - Elsevier
The paper is devoted to identification and classification of network traffic connections by
various hybridization schemes with the goal of efficient network attack detection. For this …
various hybridization schemes with the goal of efficient network attack detection. For this …
Hidden fault analysis of FPGA projects for critical applications
O Drozd, I Perebeinos, O Martynyuk… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
This paper focuses on the problem of hidden faults, which is seen like a growth one inherent
in modern safety-related systems. The special feature of these is the designing for operation …
in modern safety-related systems. The special feature of these is the designing for operation …
Analysis and classification of methods for network attack detection
AA Branitskiy, IV Kotenko - Труды СПИИРАН, 2016 - elibrary.ru
Different methods of detection of network attacks are considered in the paper. The paper
focuses on the construction of the generalized classification scheme of methods of network …
focuses on the construction of the generalized classification scheme of methods of network …
[HTML][HTML] Обнаружение сетевых атак на основе комплексирования нейронных, иммунных и нейронечетких классификаторов
АА Браницкий, ИВ Котенко - Информационно-управляющие …, 2015 - cyberleninka.ru
Несовершенство существующих методов обнаружения вторжений, а также
изменяющийся характер вредоносных действий со стороны атакующего приводят …
изменяющийся характер вредоносных действий со стороны атакующего приводят …
Network attack detection based on combination of neural, immune and neuro-fuzzy classifiers
A Branitskiy, I Kotenko - 2015 IEEE 18th International …, 2015 - ieeexplore.ieee.org
The paper considers an approach for detection of anomalous patterns of network
connections using artificial neural networks, immune systems, neuro-fuzzy classifiers and …
connections using artificial neural networks, immune systems, neuro-fuzzy classifiers and …
[HTML][HTML] Intelligent Information System for Product Promotion in Internet Market
The influence of Internet marketing has grown so much that producers must now reconfigure
their businesses from offline operation to online presence simply to meet user expectations …
their businesses from offline operation to online presence simply to meet user expectations …
Compression of network traffic parameters for detecting cyber attacks based on deep learning
The approach to compress network traffic parameters in systems for detecting attacks on
telecommunication networks using the neural network and nonlinear principal components …
telecommunication networks using the neural network and nonlinear principal components …
High performance adaptive system for cyber attacks detection
To increase the security of intrusion detection system, generalized structure of highly
performance adaptive system for cyber attacks detection was developed. To improve its …
performance adaptive system for cyber attacks detection was developed. To improve its …
Design of adaptive system of detection of cyber-attacks, based on the model of logical procedures and the coverage matrices of features
V Lakhno, S Kazmirchuk, Y Kovalenko… - Восточно …, 2016 - irbis-nbuv.gov.ua
DESIGN OF ADAPTIVE SYSTEM OF DETECTION OF CYBER-ATTACKS, BASED ON THE
MODEL OF LOGICAL PROCEDURES AND THE COVERAGE MATRICES OF F Page 1 …
MODEL OF LOGICAL PROCEDURES AND THE COVERAGE MATRICES OF F Page 1 …