Results 11 to 20 of about 212,014 (305)
Towards an effective deep learning-based intrusion detection system in the internet of things
Telematics and Informatics Reports, 2022 Distributed Sensor Networks play a vital role in the day-to-day world of computing applications, from the cloud to the Internet of Things (IoT). These computing applications devices are normally attached with the microcontrollers like Sensors, actuators,
Pampapathi B M +2 more
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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
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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
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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
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A taxonomy of malicious traffic for intrusion detection systems [PDF]
, 2018 With the increasing number of network threats it is essential to have a knowledge of existing and new network threats to design better intrusion detection systems.
Atkinson, Robert +5 more
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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 +2 more sources
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
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INTRUSION DETECTION AND PREVENTION FRAMEWORK USING DATA MINING TECHNIQUES FOR FINANCIAL SECTOR [PDF]
Acta Informatica Malaysia, 2021 Security becomes the main concern when the resources are shared over a network for many purposes. For ease of use and time saving several services offered by banks and other financial companies are accessible over mobile apps and computers connected with
Gaurav Sharma, Anil Kumar Kapil
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Toward Network-based DDoS Detection in Software-defined Networks [PDF]
, 2018 To combat susceptibility of modern computing systems to cyberattack, identifying and disrupting malicious traffic without human intervention is essential.
Chaves Luciano Jerez +4 more
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An overview to Software Architecture in Intrusion Detection System [PDF]
, 2014 Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network.
Bahrami, Mehdi, Bahrami, Mohammad
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