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Enhanced Network Intrusion Detection System [PDF]
Sensors, 2021 A reasonably good network intrusion detection system generally requires a high detection rate and a low false alarm rate in order to predict anomalies more accurately.
Ketan Kotecha +8 more
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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
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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Journal of Database ManagementThe use of encrypted data, the diversity of new protocols, and the surge in the number of malicious activities worldwide have posed new challenges for intrusion detection systems (IDS). In this scenario, existing signature-based IDS are not performing well.
Amit Singh +4 more
+6 more sources
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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International Journal of Scientific Research in Science, Engineering and Technology, 2020 Intrusion Detection System (IDS) is well-defined as a Device or software application which monitors the system activities and finds if there is any malevolent activity that has occured. Unresolved growth and traditional use of internet raises anxieties about how to connect and protect the digital information securely.
Shivani Agrawal +4 more
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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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Study on Distributed Intrusion Detection System Based on Artificial Intelligence [PDF]
Jisuanji kexue, 2022 In order to solve the problems of data processing defects and low system intrusion accuracy existing in the current dynamic loading system,a distributed intrusion detection system with complete functions and strong practicability is designed by taking ...
WANG Lu, WEN Wu-song
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An improved bio-inspired based intrusion detection model for a cyberspace
Cogent 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
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Dynamic Defense Strategy for Platform Based on Event-driven and Timing Migration [PDF]
Jisuanji gongcheng, 2019 In order to solve the network security defense problem after the intrusion detection system misses detection,using the Moving Target Defense(MTD) technology of the platform layer,this paper designs a new dynamic defense strategy for platforms.Combined ...
CHEN Tongrui, MA Runnian, WANG Gang, WU Weijia
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