Results 31 to 40 of about 22,732,474 (193)
Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms
Applied Sciences, 2022 The automation and intelligence of industrial manufacturing is the core of the fourth industrial revolution, and robotic arms and proprietary networked information systems are an integral part of this vision.
Yulin Zhou, Lun Xie, Hang Pan
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An immunological approach to intrusion detection [PDF]
, 2000 This paper presents an examination of intrusion detection schemes. It discusses traditional views of intrusion detection, and examines the more novel, but perhaps more effective, approach to intrusion detection as modeled on the human immune system ...
Watkins, A., Andrew Watkins
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A Q-Learning-Based Two-Layer Cooperative Intrusion Detection for Internet of Drones System
Drones, 2023 The integration of unmanned aerial vehicles (UAVs) and the Internet of Things (IoT) has opened up new possibilities in various industries. However, with the increasing number of Internet of Drones (IoD) networks, the risk of network attacks is also ...
Moran Wu +5 more
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Computer network big data detection based on internet of things technology
Measurement: SensorsIn order to solve the problems of traditional network security intrusion detection system in detection accuracy and missed detection rate, this paper proposes a computer network data detection based on Internet of things technology. This paper designs an
Fuhua Huo
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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
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A machine learning approach with verification of predictions and assisted supervision for a rule-based network intrusion detection system [PDF]
, 2008 Network security is a branch of network management in which network intrusion detection systems provide attack detection features by monitorization of traffic data.
Garijo Ayestaran, Mercedes +1 more
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The effect of feature reduction on an ANFIS-based intrusion detection system
Discover Artificial IntelligenceThe key goal of an intrusion detection system is classifying the activities of a system into two main normal and intrusion activities. Various methods have been proposed to develop an intrusion detection system by researchers.
Mohammad Hassan Nataj Solhdar +1 more
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, 2006 Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. One approach is anomaly detection, where deviations from a model of normal network activity are reported.
Powers, Simon T., He, Jun
core +1 more source
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
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IOT-Based Farmland Intrusion Detection System
Buana Information Technology and Computer Sciences, 2023 As crop vandalization with conflicts between farmers and herdsmen become recurrent in Nigeria, existing farm intrusion prevention methods such as fence mounting and placement of farm guards can no longer guarantee farm security. This is because intruders
Emmanuel Ibam +2 more
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