Results 31 to 40 of about 404,854 (339)
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
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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
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Intrusion Detection System [PDF]
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.
Sangram Nevse +4 more
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Digital Communications and Networks, 2023 With the rapid development of the Internet of Things (IoT), there are several challenges pertaining to security in IoT applications. Compared with the characteristics of the traditional Internet, the IoT has many problems, such as large assets, complex ...
Haifeng Lin +3 more
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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
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Network Intrusion Detection [PDF]
, 2011 Attacks against computers and the Internet are in the news every week. These primarily take the form of malicious code such as viruses and worms, or denial of service attacks. Less commonly reported are attacks which gain access to computers, either for the purpose of producing damage (such as defacing web sites or deleting data) or for the ...
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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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A Cloud Based Network Intrusion Detection System
Tehnički Vjesnik, 2022 Along with the development of intrusion detection systems so far, remarkable results have been achieved in aspects of dynamic monitoring and network defense.
Li You, Zhanyong Wang
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Behavioral Intrusion Detection [PDF]
, 2004 In this paper we describe anomaly-based intrusion detection as a specialized case of the more general behavior detection problem. We draw concepts from the field of ethology to help us describe and characterize behavior and interactions. We briefly introduce a general framework for behavior detection and an algorithm for building a Markov-based model ...
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Active Learning for Wireless IoT Intrusion Detection [PDF]
IEEE Wireless Communications, 25 (2018) 19-25, 2018 Internet of Things (IoT) is becoming truly ubiquitous in our everyday life, but it also faces unique security challenges. Intrusion detection is critical for the security and safety of a wireless IoT network. This paper discusses the human-in-the-loop active learning approach for wireless intrusion detection. We first present the fundamental challenges
arxiv +1 more source