Results 11 to 20 of about 2,861,414 (289)
Intrusion Detection Systems for Community Wireless Mesh Networks [PDF]
, 2008 Wireless mesh networks are being increasingly used to provide affordable network connectivity to communities where wired deployment strategies are either not possible or are prohibitively expensive.
Smith, Paul +3 more
core +5 more sources
Multi-Agent Reinforcement Learning for Intrusion Detection [PDF]
, 2009 This thesis presents a novel approach to provide adaptive mechanisms to detect and categorise Flooding-Base DoS (FBDoS) and Flooding-Base DDoS (FBDDoS) attacks. These attacks are generally based on a flood of packets with the intention of overfilling key
Servin, Arturo Lev
core +7 more sources
A dubiety-determining based model for database cumulated anomaly intrusion [PDF]
, 2007 The concept of Cumulated Anomaly (CA), which describes a new type of database anomalies, is addressed. A typical CA intrusion is that when a user who is authorized to modify data records under certain constraints deliberately hides his/her intentions ...
Yi, J, Lü, K, Lu, G
core +7 more sources
HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System
Applied Sciences, 2023 Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside networks ...
Emad Ul Haq Qazi +2 more
doaj +1 more source
Intrusion and intrusion detection [PDF]
International Journal of Information Security, 2001 Summary: Assurance technologies for computer security have failed to have significant impacts in the marketplace, with the result that most of the computers connected to the internet are vulnerable to attack. This paper looks at the problem of malicious users from both a historical and practical standpoint.
openaire +3 more sources
A new intrusion detection and alarm correlation technology based on neural network
EURASIP Journal on Wireless Communications and Networking, 2019 With the continuous development of computer networks, the security of the network has become increasingly prominent. A major threat to network security is the intrusion of information systems through the network.
Yansong Liu, Li Zhu
doaj +1 more source
Eigenconnections to Intrusion Detection [PDF]
, 2004 Most current intrusion detection systems are signature based ones or machine learning based methods. Despite the number of machine learning algorithms applied to KDD 99 cup, none of them have introduced a pre-model to reduce the huge information quantity present in the different KDD 99 datasets.
Bouzida, Yacine, Gombault, Sylvain
openaire +3 more sources
A deployment value model for intrusion detection sensors [PDF]
, 2009 The value of an intrusion detection sensor is often associated with its data collection and analysis features. Experience tells us such sensors fall under a range of different types and are diverse in their operational characteristics. There is a need
Hao Chen +13 more
core +1 more source
IEEE Access, 2020 In this paper, an intrusion detection system is introduced that uses data mining and machine learning concepts to detect network intrusion patterns. In the proposed method, an artificial neural network (ANN) is used as a learning technique in intrusion ...
Shadi Moghanian +3 more
doaj +1 more source
Acta Infologica, 2023 The threat of network intrusion has become much more severe due to the increasing network flow. Therefore, network intrusion detection is one of the most concerned areas of network security.
Ahmet Okan Arık +1 more
doaj +1 more source