1 option
Explainable Artificial Intelligence for Cyber Security : Next Generation Artificial Intelligence / edited by Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online
View online- Format:
- Book
- Series:
- Studies in Computational Intelligence, 1860-9503 ; 1025
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Computational intelligence.
- Artificial intelligence.
- Cooperating objects (Computer systems).
- Data protection.
- Data Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Data and Information Security.
- Local Subjects:
- Data Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Data and Information Security.
- Physical Description:
- 1 online resource (283 pages) : (XII, 280 p. 88 illus., 80 illus. in color.)
- Edition:
- 1st ed. 2022.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- Summary:
- This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
- Contents:
- The Past, Present, and Prospective Future of XAI: A Comprehensive Review
- An Overview of Explainable Artificial Intelligence for Cyber Security
- Artificial Intelligence: Practical & Ethical Challenges
- Domain Knowledge-aided Explainable Artificial Intelligence
- Machine Learning based IDS for Cyberattack Classification
- Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection
- Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats
- Network Forensics in the Era of Artificial Intelligence
- Obfuscation-based Mechanisms in Location-based Privacy Protection
- Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things
- Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
- Explainable Artificial Intelligence in Sustainable Smart Healthcare.
- Other Format:
- Print version: Ahmed, Mohiuddin Explainable Artificial Intelligence for Cyber Security
- ISBN:
- 3-030-96630-5
- OCLC:
- 1324248153
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.