Showing results for "mukesh mann"
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2024
EN
Accessible
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate bio...
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Machine Learning for Computer and Cyber Security
Principle, Algorithms, and Practices
- Series -
- Cyber Ecosystem and Security
2019
EN
Accessible
While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the...
2009
EN
This is an open access book.The First International Conference on Innovation in information technology and business (ICIITB) will be taking place in Muscat, Oman, on November 9th and 10th, 2022. The Conference will be carried out in a hybrid format, allowing world-scattered academicians, researchers, and industry professionals to participate in this unique Conference for Oman and the GCC region.The participants of the Conference will get an opportunity to contribute to the ...
Digital Forensics and Cyber Crime Investigation
Recent Advances and Future Directions
2024
EN
Accessible
In the ever-evolving landscape of digital forensics and cybercrime investigation, staying ahead with the latest advancements is not just advantageous—it’s imperative. Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions serves as a crucial bridge, connecting the dots between the present knowledge base and the fast-paced developments in this dynamic field. Through a collection of meticulous research and expert insights, this book dissects various f...
2019
EN
The ubiquity of modern technologies has allowed for increased connectivity between people and devices across the globe. This connected infrastructure of networks creates numerous opportunities for applications and uses. As the applications of the internet of things continue to progress so do the security concerns for this technology. The study of threat prevention in the internet of things is necessary as security breaches in this field can ruin industries and lives. Securing the Internet ...
2022
EN
This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a pe...
2026
EN
Advanced identification technologies are reshaping how evidence is analyzed and crimes are solved. Exploring the intersection of forensics and biometrics reveals a rapidly evolving field. By integrating biometric data with forensic methods, investigators can achieve greater accuracy and reliability in establishing identities and linking individuals to events. This intersection not only enhances traditional investigative practices but also introduces new technical considerations as the boun...
2022
EN
It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting...
2023
EN
Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data technologies to aid better decision-making, processing and analysis of large amounts of data collected through IoT. This book series targets the adaptation of decision-making approaches under cognitive computing paradigms to demonstrate how the pr...
2020
EN
As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and tech...
Advancement in Cyber Security and Digital Forensics
Proceedings of ICACSDF 2025
2026
EN
Accessible
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Advancement in Cyber Security and Digital Forensics (ICACSDF 2025), organized by University of Petroleum and Energy Studies (UPES), Dehradun, India, on April 11–12, 2025. The book explores forefront of cybersecurity in today's digital landscape. From safeguarding privacy and information security to digging into cutting-edge advancements in cryptography and quantum technology, this book...
Advances in Data Science and Artificial Intelligence
ICDSAI 2022, IIT Patna, India, April 23 – 24
2023
EN
With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on deve...











