Intrusion Detection Through Deep Learning: Emerging Trends and Challenges
- Title
- Intrusion Detection Through Deep Learning: Emerging Trends and Challenges
- Creator
- Mishra, Achyutananda
- Description
- The chapter begins with an introduction that sets the stage for a comprehensive journey into the world of deep learning. The chapter then delves into the critical components of deep learning, including neural network architectures, convolutional neural networks (CNNs), recurrent and recursive networks, and the application of deep learning. Moreover, it explains intrusion detection, its classification, and its methodology. By the end of the chapter, readers will have gained a solid understanding of the fundamental principles and tools necessary to delve deeper into the application of deep learning in intrusion detection, and challenges inherent in it. 2026 John Wiley & Sons, Inc. Published 2026 by John Wiley & Sons, Inc.
- Source
- Deep Learning for Intrusion Detection: Techniques and Applications;pp.107-123
- Date
- 01-01-2026
- Publisher
- wiley
- Subject
- deep learning; intrusion detection; machine learning; neural network
- Coverage
- Mishra A., School of Law, Christ University, Karnataka, Bangalore, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 978-139428519-8; 978-139428516-7;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Mishra, Achyutananda, “Intrusion Detection Through Deep Learning: Emerging Trends and Challenges,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23919.