Algorithms

Big Data, Optimization Techniques, Cyber Security

Sushil C. Dimri,Abhay Saxena,Bhuvan Unhelkar,Akshay Kumar

• Verlag: De Gruyter
• Jahr: 2024
• ISBN:
  9783111229638
• Auflage: 1
• Thema: Ciencia de la computación
• Thema: Algoritmos de programación

Algorithms are ubiquitous in the contemporary technological world, and they ultimately consist of finite sequences of instructions used to accomplish tasks with necessary input values. This book analyses the top performing algorithms in areas as diverse as Big Data, Artificial Intelligence, Optimization Techniques and Cloud & Cyber Security Systems in order to explore their power and limitations.

Inhaltsverzeichnis

• Title Page
• Copyright
• Contents
• Machine learning-enabled techniques for speech categorization
• Comprehensive study of cybersecurity issues and challenges
• An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies
• A comparative study on security issues and clustering of wireless sensor networks
• Heuristic approach and its application to solve NP-complete traveling salesman problem
• Assessment of fake news detection from machine learning and deep learning techniques
• Spam mail detection various machine learning methods and their comparisons
• Cybersecurity threats in modern digital world
• Mechanism to protect the physical boundary of organization where the private and public networks encounter
• By combining binary search and insertion sort, a sorting method for small input size
• Index