Machine Learning for Cybersecurity: Innovative Deep Learning Solutions
Omar, Marwan
- 出版商: Springer
- 出版日期: 2022-09-25
- 售價: $2,330
- 貴賓價: 9.5 折 $2,214
- 語言: 英文
- 頁數: 48
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303115892X
- ISBN-13: 9783031158926
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相關分類:
Machine Learning、資訊安全
海外代購書籍(需單獨結帳)
相關主題
商品描述
1. Application of Machine Learning (ML) to Address Cyber Security Threats.- 2. New Approach to Malware Detection Using Optimized Convolutional Neural Network.- 3. Malware Anomaly Detection Using Local Outlier Factor Technique.
作者簡介
Dr. Marwan Omar is an Associate Professor of Cybersecurity at Illinois Institute of Technology since August, 2022. Dr. Omar received a Master's degree in Information Systems and Technology from the University of Phoenix, 2009 and a Doctorate Degree in Digital Systems Security from Colorado Technical University, 2012. Dr. Omar has a track record of publications in the area of cyber security along with extensive teaching experience as well as industry experience. Dr. Omar recently earned a Post-Doctoral certificate from the University of Fernando Pessoa, Portugal and holds numerous industry certifications including CEH, Sec+, GASF, and CDPSE, among others.
