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The book "Encrypted" delves into the critical realm of computer security, exploring methods to safeguard software, hardware, and data assets in an increasingly digital world. It addresses the challenges posed by the proliferation of computing systems, IoT devices, and interconnected networks, emphasizing best practices for asset protection, vulnerability management, and data security.
The title encapsulates a comprehensive guide to understanding cybersecurity fundamentals, including the CIA triad (confidentiality, integrity, and availability), asset valuation models, and advanced protection methods like encryption and multi-factor authentication. It aims to provide readers with actionable insights to navigate the complex landscape of cybersecurity threats and safeguard essential technological assets effectively.
Dr. Rehkha K.K. is a distinguished academic and accomplished researcher with a Ph.D. in Computer Applications from Dr. M.G.R. Educational & Research Institute, Chennai. She has over a decade of professional experience across various domains, including software development, technical training, and academia. Currently serving as an Assistant Professor in Dr. M.G.R. Educational and Research Institute, her research primarily focuses on innovative biometric technologies, machine learning, and data science.
She has an impressive portfolio of publications in reputed journals, including works on biometric identification and autonomous vehicle technologies. Apart from her academic and professional accomplishments, Dr. Rehkha is a published inventor, holding patents for groundbreaking technologies like systems aiding the visually impaired and machine learning models for self-driving cars. A lifelong learner, she has completed advanced certifications in Python, data science, machine learning, and deep learning from esteemed organizations like IBM and MathWorks.
Dedicated to fostering knowledge and innovation, she continues to inspire through her teaching and impactful contributions to the field of computer applications.
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