Mohd Muntjir Book order

Focusing on computer and network security, this book delves into the nature of hacking, emphasizing its illegal access to systems for malicious purposes. It outlines the essential assurances of a secure system, including confidentiality, integrity, and availability of data. The text highlights the importance of cybersecurity in protecting information systems from theft and damage, while also discussing cryptography and encryption as vital tools for safeguarding IT assets. Effective network security is presented as crucial for managing access and preventing threats.

Focusing on security and performance, this book provides a comprehensive overview of database management systems, including SQL and MongoDB. It explores techniques for monitoring distributed computing and presents a modern approach to integrating database queries for e-commerce searches. The text highlights the transition of traditional database systems to cloud models, reviewing standards and frameworks for cloud databases. Additionally, it discusses query processing, optimization, and evaluates the role of database management systems in large-scale wireless sensor networks.

Focusing on the ecological significance of high passes in Indian mountaineering, this book explores their historical importance in trade, travel, migration, and warfare within the Himalayan region. It highlights the challenges of accessing these passes, often requiring treks through hazardous terrain. The narrative also addresses recent developments over the past 15 years that have improved education, healthcare, agriculture, energy, and transportation in these areas. Aimed at tourism sector learners, it emphasizes the unique blend of adventure and natural beauty found in India's mountain ranges.

Focusing on the optimization of data collection in Wireless Sensor Networks (WSNs), this book addresses the challenge of minimizing the robot's traveling distance, likening it to the Travelling Salesman Problem with Neighborhoods. It explores the deployment of tiny sensor nodes for monitoring and reporting events, emphasizing the detection of irregularities in sensor data. By introducing a novel approach called pattern variation discovery, it aims to identify abnormal events and faulty sensors through effective modeling of sensor data over time or space.