Results 21 to 30 of about 19,489 (256)
Deep Stacking Network for Intrusion Detection
Sensors, 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
Oblivious network intrusion detection systems
Scientific Reports, 2023 Abstract A main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being able to decrypt the rules or the results.
Mahmoud AbdelHafeez Sayed, Mostafa Taha
openaire +3 more sources
Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection
Journal 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
Tongxin 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]
12th 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
Sperotto, Anna, Pras, Aiko
openaire +2 more sources
Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
Internet of Things and Cyber-Physical SystemsThe significance of intrusion detection systems in networks has grown because of the digital revolution and increased operations. The intrusion detection method classifies the network traffic as threat or normal based on the data features.
Shubhkirti Sharma +2 more
doaj +1 more source
IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
Iftikhar Ahmad +3 more
doaj +1 more source
Heliyon, 2022 With the growing security demands in the public, civil and military fields, unmanned aerial vehicle (UAV) intrusion detection has attracted increasing attention.
Yawen Xie +4 more
doaj +1 more source
CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network
Discrete Dynamics in Nature and Society, 2020 Network intrusion detection system can effectively detect network attack behaviour, which is very important to network security. In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and
Guojie Liu, Jianbiao Zhang
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source