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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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Artificial Intelligence based Intrusion Detection System – A Detailed Survey [PDF]
ITM Web of ConferencesThe Internet and communications have rapidly expanded, leading to a significant rise in data generation and heterogeneity. Intrusion detection systems play a crucial role in ensuring the security and integrity of computer systems. These systems have been
Sharma Vishwas +3 more
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Research on Wireless Sensor Network Intrusion Detection Technology
MATEC Web of Conferences, 2016 With the development of science and technology, wireless sensor network (WSN) has been widely used in all walks of life. The security problem of WSN has become a research hotspot.
Fan Qing Gang +4 more
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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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Sensors, 2022 As the range of security attacks increases across diverse network applications, intrusion detection systems are of central interest. Such detection systems are more crucial for the Internet of Things (IoT) due to the voluminous and sensitive data it ...
Shapla Khanam +3 more
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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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Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection
Journal of Computer Networks and Communications, 2021 This paper introduces a new integrated learning approach towards developing a new network intrusion detection model that is scalable and adaptive nature of learning. The approach can improve the existing trends and difficulties in intrusion detection. An
Alebachew Chiche, Million Meshesha
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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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Intrusion Detection with OMNeT++ [PDF]
Proceedings of the Second International ICST Conference on Simulation Tools and Techniques, 2009 Network simulators serve a variety of purposes. Compared to the cost, time, and effort involved in setting up an entire test bed containing different types of network devices, network simulators are relatively fast and inexpensive. Computer intrusions are occurring almost routinely and have become a major issue in our networked society.
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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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