Deep Learning Based Intrusion Detection Framework in Industrial IoT

ISBN-13: 9786206739449 / Angielski / Miękka / 56 str.

Raghavender K V; B. DURGA BHAVANI

Opis

A Deep Learning Based Intrusion Detection Framework in Industrial IoT is a sophisticated system designed to safeguard critical infrastructure from unauthorized access and malicious activities. Leveraging the power of deep learning algorithms, this framework utilizes advanced neural networks to analyze vast amounts of data collected from Industrial Internet of Things (IoT) devices. By training the deep learning models on labeled datasets consisting of normal and anomalous behavior patterns, the framework can accurately identify and classify various types of intrusions in real-time. The framework's ability to adapt and learn from evolving threats makes it an effective defense mechanism, providing a robust security layer for industrial IoT environments, ensuring the integrity, availability, and confidentiality of critical assets and systems.

O autorze

Dr.Raghavender K.V, He received the Ph.D. in Computer Science and Engineering in 2020 from Osmania University, Telangana, India. He received the B. Tech in Computer Science and Engineering in 2005, and received the M Tech in Computer Science and Engineering in 2009, Both degrees from Jawaharlal Nehru Technological University Telangana, India.