Results 31 to 40 of about 49,706 (308)

An improved bio-inspired based intrusion detection model for a cyberspace

open access: yesCogent Engineering, 2021
Bio-inspired intrusion detection solutions provide better detection accuracy than conventional solutions in securing cyberspace. However, existing bio-inspired anomaly-based intrusion detection systems are still faced with challenges of high false ...
Samera Uga Otor   +4 more
doaj   +1 more source

Research on Wireless Sensor Network Intrusion Detection Technology

open access: yesMATEC Web of Conferences, 2016
With the development of science and technology, wireless sensor network (WSN) has been widely used in all walks of life. The security problem of WSN has become a research hotspot.
Fan Qing Gang   +4 more
doaj   +1 more source

Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT)

open access: yesSensors, 2022
As the range of security attacks increases across diverse network applications, intrusion detection systems are of central interest. Such detection systems are more crucial for the Internet of Things (IoT) due to the voluminous and sensitive data it ...
Shapla Khanam   +3 more
doaj   +1 more source

Deep Stacking Network for Intrusion Detection

open access: yesSensors, 2021
Preventing network intrusion is the essential requirement of network security. In recent years, people have conducted a lot of research on network intrusion detection systems.
Yifan Tang, Lize Gu, Leiting Wang
doaj   +1 more source

Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection

open access: yesJournal of Computer Networks and Communications, 2021
This paper introduces a new integrated learning approach towards developing a new network intrusion detection model that is scalable and adaptive nature of learning. The approach can improve the existing trends and difficulties in intrusion detection. An
Alebachew Chiche, Million Meshesha
doaj   +1 more source

Machine Learning for Intrusion Detection: Modeling the Distribution Shift [PDF]

open access: yes, 2010
This paper addresses two important issue that arise in formulating and solving computer intrusion detection as a machine learning problem, a topic that has attracted considerable attention in recent years including a community wide competition using a ...
Saunders, Craig   +5 more
core   +1 more source

Intrusion Detection with OMNeT++ [PDF]

open access: yesProceedings of the Second International ICST Conference on Simulation Tools and Techniques, 2009
Network simulators serve a variety of purposes. Compared to the cost, time, and effort involved in setting up an entire test bed containing different types of network devices, network simulators are relatively fast and inexpensive. Computer intrusions are occurring almost routinely and have become a major issue in our networked society.
openaire   +1 more source

Research on intrusion response strategy based on static Bayesian game in mobile edge computing network

open access: yesTongxin xuebao, 2023
In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion ...
Wei FAN   +3 more
doaj   +2 more sources

Flow-based intrusion detection [PDF]

open access: yes12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, 2011
The spread of 1-10 Gbps technology has in recent years paved the way to a flourishing landscape of new, high-bandwidth Internet services.At the same time, we have also observed increasingly frequent and widely diversified attacks. To this threat, the research community has answered with a growing interest in intrusion detection, aiming to timely detect
Anna Sperotto, Aiko Pras
openaire   +2 more sources

A parallel 'String Matching Engine' for use in high speed network intrusion detection systems [PDF]

open access: yes, 2006
This paper describes a finite state machine approach to string matching for an intrusion detection system. To obtain high performance, we typically need to be able to operate on input data that is several bytes wide. However, finite state machine designs
Tripp, Gerald
core   +1 more source

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