2023
DOI: 10.3390/electronics12194050
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A Hybrid Modified Deep Learning Architecture for Intrusion Detection System with Optimal Feature Selection

Neeraj Kumar,
Sanjeev Sharma

Abstract: With the exponentially evolving trends in technology, IoT networks are vulnerable to serious security issues, allowing intruders to break into networks without authorization and manipulate the data. Their actions can be recognized and avoided by using a system that can detect intrusions. This paper presents a hybrid intelligent system and inverted hour-glass-based layered network classifier for feature selection and classification processes, respectively. To accomplish this task, three different datasets have … Show more

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Cited by 5 publications
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