Recent Advances in Intrusion Detection PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Recent Advances in Intrusion Detection PDF full book. Access full book title Recent Advances in Intrusion Detection by Herve Debar. Download full books in PDF and EPUB format.
Author: Herve Debar Publisher: Springer Science & Business Media ISBN: 3540410856 Category : Business & Economics Languages : en Pages : 237
Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Recent Advances in Intrusion Detection, RAID 2000, held in Toulouse, France in October 2000. The 14 revised full papers presented were carefully reviewed and selected from a total of 26 papers and 30 extended abstracts submitted. The papers are organized in sections on logging, data mining, modeling process behaviour, IDS evaluation, and modeling.
Author: Herve Debar Publisher: Springer Science & Business Media ISBN: 3540410856 Category : Business & Economics Languages : en Pages : 237
Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Recent Advances in Intrusion Detection, RAID 2000, held in Toulouse, France in October 2000. The 14 revised full papers presented were carefully reviewed and selected from a total of 26 papers and 30 extended abstracts submitted. The papers are organized in sections on logging, data mining, modeling process behaviour, IDS evaluation, and modeling.
Author: Ali A. Ghorbani Publisher: Springer Science & Business Media ISBN: 0387887717 Category : Computers Languages : en Pages : 224
Book Description
Network Intrusion Detection and Prevention: Concepts and Techniques provides detailed and concise information on different types of attacks, theoretical foundation of attack detection approaches, implementation, data collection, evaluation, and intrusion response. Additionally, it provides an overview of some of the commercially/publicly available intrusion detection and response systems. On the topic of intrusion detection system it is impossible to include everything there is to say on all subjects. However, we have tried to cover the most important and common ones. Network Intrusion Detection and Prevention: Concepts and Techniques is designed for researchers and practitioners in industry. This book is suitable for advanced-level students in computer science as a reference book as well.
Author: A. Suresh Publisher: John Wiley & Sons ISBN: 1119682428 Category : Technology & Engineering Languages : en Pages : 228
Book Description
Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.
Author: Christopher Kruegel Publisher: Springer Science & Business Media ISBN: 0387233997 Category : Computers Languages : en Pages : 124
Book Description
Details how intrusion detection works in network security with comparisons to traditional methods such as firewalls and cryptography Analyzes the challenges in interpreting and correlating Intrusion Detection alerts
Author: Carol Fung Publisher: CRC Press ISBN: 146656413X Category : Computers Languages : en Pages : 261
Book Description
The rapidly increasing sophistication of cyber intrusions makes them nearly impossible to detect without the use of a collaborative intrusion detection network (IDN). Using overlay networks that allow an intrusion detection system (IDS) to exchange information, IDNs can dramatically improve your overall intrusion detection accuracy.Intrusion Detect
Author: Rafeeq Ur Rehman Publisher: Prentice Hall Professional ISBN: 9780131407336 Category : Computers Languages : en Pages : 290
Book Description
This guide to Open Source intrusion detection tool SNORT features step-by-step instructions on how to integrate SNORT with other open source products. The book contains information and custom built scripts to make installation easy.
Author: Herve Debar
Author: 
Author: Herve Debar
Author: Rebecca Gurley Bace
Author: Ali A. Ghorbani
Author: John Winsor Pratt
Author: A. Suresh
Author: Rebecca Gurley Bace
Author: Christopher Kruegel
Author: Carol Fung
Author: Rafeeq Ur Rehman