基于元学习的多头注意力时序卷积的入侵检测.

王明 - Cyber Security & Data Governance, 2023 - search.ebscohost.com
为解决现有入侵检测方法在高阶依赖关系挖掘, 处理时序特征和应对新型攻击手段检测等方面
性能不足的问题, 提出了一种基于元学习的多头注意力时序卷积的入侵检测方法 …

SBGen: a framework to efficiently supply runtime information for a learning-based HIDS for multiple virtual machines

J Seo, I Bang, J You, Y Cho, Y Paek - IEEE Access, 2020 - ieeexplore.ieee.org
Much compelling evidence urges that the isolation provided by the hypervisor in a
virtualized system is not complete at all, and in practice can be neutralized by elaborated …

A Hybrid Learning-Based Network Model for Security Establishment in IoT Environment

PV Lakshmi, R Raja - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) is an innovative idea, combines the IoT with social platforms to
enable inanimate objects to connect. Despite this, customers are hesitant to accept this new …

EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences

R Bhardwaj, M Noferesti, M Janecek… - 2023 IEEE 22nd …, 2023 - ieeexplore.ieee.org
The privacy and security of users are increasingly threatened due to the rising frequency of
malware assaults. Both Host-based Intrusion Detection Systems (HIDSes) and Antivirus …

Novelty detection in sequential data by informed clustering and modeling

L Adilova, S Chen, M Kamp - arXiv preprint arXiv:2103.03943, 2021 - arxiv.org
Novelty detection in discrete sequences is a challenging task, since deviations from the
process generating the normal data are often small or intentionally hidden. Novelties can be …

A comparative study of machine learning algorithms using lid-ds dataset

DK Park, KJ Ryu, DI Shin, DK Shin… - KIPS Transactions on …, 2021 - koreascience.kr
Today's information and communication technology is rapidly developing, the security of IT
infrastructure is becoming more important, and at the same time, cyber attacks of various …

Feature Based Comparative Analysis of Traditional Intrusion Detection System and Software-Defined Networking Based Intrusion Detection System

IA Mahar, W Libing, GA Rahu, ZA Maher… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Intrusion Detection Systems (IDS) play a crucial role in a comprehensive security framework
for an organization by detection and response to security incidents, encompassing both …

Variational encoder-decoder recurrent neural network (VED-RNN) for anomaly prediction in a host environment

L Bouzar-Benlabiod, L Méziani… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Intrusion detection systems (IDS) are important security tools. NIDS monitors network's traffic
and HIDS filters local one. HIDS are often based on anomaly detection. Several studies deal …

A New Federated Learning Model for Host Intrusion Detection System Under Non-IID Data

W Guo, Z Yao, Y Liu, L Zhang, L Li… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Host Intrusion Detection System (HIDS) is an important research topic in the field of
cyberspace security. With the explosion in the number of malicious attacks in recent years …

Establishing Cloud Security using Modern Learning Approaches

G Vijayan, K Dharun, M Dhinesh… - 2024 International …, 2024 - ieeexplore.ieee.org
During the present times, it is very challenging and crucial to develop an efficient as well as
simple system for detecting attacks and ensuring security against cyber-threats in cloud …