Neural Network-Based Voting System with High Capacity and Low Computation for Intrusion Detection in SIEM/IDS Systems
Integrating intelligence into intrusion detection tools has received much attention in the last years. The goal is to improve the detection capability within SIEM and IDS systems in order to cope with the increasing number of attacks using sophisticated and complex methods to infiltrate systems. Cur...
Main Authors: | Nabil Moukafih, Ghizlane Orhanou, Said El Hajji |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
|
Series: | Security and Communication Networks |
Online Access: | http://dx.doi.org/10.1155/2020/3512737 |
Similar Items
-
A centralized secure plan for detecting and mitigation incidents in hybrid SDN
by: Zkik Karim, et al.
Published: (2018-01-01) -
Dynamic Security Assessment Of Computer Networks In Siem-Systems
by: Elena Vladimirovna Doynikova, et al.
Published: (2015-10-01) -
An intrusion detection system (IDS) for internet network
by: Safiee, Mohd. Fauzan
Published: (2007) -
HybrIDS: Embeddable Hybrid Intrusion Detection System
by: Lauf, Adrian Peter
Published: (2007) -
BlockSIEM: Protecting Smart City Services through a Blockchain-based and Distributed SIEM
by: Juan Velandia Botello, et al.
Published: (2020-08-01)