|
| Titre : |
Artificial Intelligence for Intrusion Detection Systems |
| Type de document : |
document électronique |
| Auteurs : |
Swarnkar Mayank ; Singh Rajput Shyam |
| Editeur : |
Boca Raton : CRC Press |
| Année de publication : |
2023 |
| Importance : |
1 vol (1 p.) |
| ISBN/ISSN/EAN : |
978-1-00-096755-5 |
| Langues : |
Français (fre) |
| Catégories : |
Bibliothèque numérique:Informatique
|
| Mots-clés : |
Intrusion detection systems (Computer security)
Artificial intelligence |
| Index. décimale : |
004 Informatique |
| Résumé : |
This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS).Features: A systematic overview of the state-of-the-art IDS Proper explanation of novel cyber attacks which are much different from classical cyber attacks Proper and in-depth discussion of AI in the field of cybersecurity Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations Covers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks. This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security. |
| Note de contenu : |
TABLE OF CONTENTS
1. Intrusion Detection System Using Artificial Intelligence
Galiveeti Poornima, Deepak S Sakkari, Pallavi R, Sudha Y, Sukruth Gowda M
2. Robust, Efficient and Interpretable Adversarial AI Models for Intrusion Detection in Virtualization Environment
Arjun Singh, Avantika Gaur, Gaurav Kothari, Yutika Agarwal, Tejaswi, Preeti Mishra, Senthil Kumar Jagthessaperumal
3. Detection of Malicious Activities by Smart Signature-based IDS
Ramya Chinnasamy, Malliga Subramanian
4. Detection of Malicious Activities by AI-Supported Anomaly-based IDS
Akshaya Suresh and Dr. Arun Cyril Jose
5. An Artificial Intelligent Enabled Framework for Malware Detection
Mahendra Pratap Singh, Hrithik Bhat, Somesh Kartikeya, Shuddhatm Choudhary
6. IDS for Internet of Things (IoT) and Industrial IoT Network
Rashi Makwana
7. An Improved NIDS using RF Based Feature Selection Technique and Voting Classifier
Pankaj Kumar Keserwani, Mridul Mittal, Mahesh Chandra Govil
8. Enhanced AI-based Intrusion Detection and Response System for WSN
Dr. Kathirvel A, Dr. Maheswaran C. P.
9. Methodology for Programming of AI-based IDS
Dr. Parkavi K, Jeyavim Sherin R C |
| Côte titre : |
E-Fs/0040 |
| En ligne : |
https://sciences-courses.univ-setif.dz/login/index.php |
Artificial Intelligence for Intrusion Detection Systems [document électronique] / Swarnkar Mayank ; Singh Rajput Shyam . - Boca Raton : CRC Press, 2023 . - 1 vol (1 p.). ISBN : 978-1-00-096755-5 Langues : Français ( fre)
| Catégories : |
Bibliothèque numérique:Informatique
|
| Mots-clés : |
Intrusion detection systems (Computer security)
Artificial intelligence |
| Index. décimale : |
004 Informatique |
| Résumé : |
This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS).Features: A systematic overview of the state-of-the-art IDS Proper explanation of novel cyber attacks which are much different from classical cyber attacks Proper and in-depth discussion of AI in the field of cybersecurity Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations Covers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks. This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security. |
| Note de contenu : |
TABLE OF CONTENTS
1. Intrusion Detection System Using Artificial Intelligence
Galiveeti Poornima, Deepak S Sakkari, Pallavi R, Sudha Y, Sukruth Gowda M
2. Robust, Efficient and Interpretable Adversarial AI Models for Intrusion Detection in Virtualization Environment
Arjun Singh, Avantika Gaur, Gaurav Kothari, Yutika Agarwal, Tejaswi, Preeti Mishra, Senthil Kumar Jagthessaperumal
3. Detection of Malicious Activities by Smart Signature-based IDS
Ramya Chinnasamy, Malliga Subramanian
4. Detection of Malicious Activities by AI-Supported Anomaly-based IDS
Akshaya Suresh and Dr. Arun Cyril Jose
5. An Artificial Intelligent Enabled Framework for Malware Detection
Mahendra Pratap Singh, Hrithik Bhat, Somesh Kartikeya, Shuddhatm Choudhary
6. IDS for Internet of Things (IoT) and Industrial IoT Network
Rashi Makwana
7. An Improved NIDS using RF Based Feature Selection Technique and Voting Classifier
Pankaj Kumar Keserwani, Mridul Mittal, Mahesh Chandra Govil
8. Enhanced AI-based Intrusion Detection and Response System for WSN
Dr. Kathirvel A, Dr. Maheswaran C. P.
9. Methodology for Programming of AI-based IDS
Dr. Parkavi K, Jeyavim Sherin R C |
| Côte titre : |
E-Fs/0040 |
| En ligne : |
https://sciences-courses.univ-setif.dz/login/index.php |
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