Quan Z. Sheng's Books

WEB-BASED INFORMATION TECHNOLOGIES AND DISTRIBUTED SYSTEMS

By: Quan Z Sheng

Write a review Read reviews Take a Quiz Solve Book Puzzle

WEB-BASED INFORMATION TECHNOLOGIES AND DISTRIBUTED SYSTEMS

By: Quan Z Sheng

The Fourth International Conference on Signal-Image Technology & Internet-Based S- tems (SITIS 2008) has been successfully held during the period 30th November to 3rd of December of the year 2008 in Bali, Indonesia. The Track Web-Based Information Te- nologies & Distributed Systems (WITDS) is one of the four tracks of the conference. The track is devoted to emerging and novel concepts, architectures and methodologies for c- ating an interconnected world in which information can be exchanged easily, tasks can be processed collaboratively, and communities of users with similar interests can be formed while addressing security threats that are present more than ever before. The track has attracted a large number of submissions; only ?fteen papers have been accepted with - ceptance rate 27%. After the successful presentations of the papers during the conference, the track chairs have agreed with Atlantis publisher to publish the extended versions of the papers in a book. Each paper has been extended with a minimum of 30% new materials from its original conference manuscript. This book contains these extendedversions as chaptersafter a second roundof reviews and improvement. The book is an excellent resource of information to researchers and it is based on four themes; the ?rst theme is on advances in ad-hoc and routing protocols, the second theme focuses on the latest techniques and methods on intelligent systems, the third theme is a latest trend in Security and Policies, and the last theme is applications of algorithms design methodologies on web based systems.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

345

Publisher

Springer Science & Business Media

Published Date

ISBN 10

9491216325

ISBN 13

9789491216329

On the Road to Resilience

Ensuring Secure IoV Networks

By: Sarah Ali Siddiqui,Adnan Mahmood,Quan Z. Sheng,Hajime Suzuki,Wei Ni

Write a review Read reviews Take a Quiz Solve Book Puzzle

On the Road to Resilience

Ensuring Secure IoV Networks

By: Sarah Ali Siddiqui,Adnan Mahmood,Quan Z. Sheng,Hajime Suzuki,Wei Ni

This book delves into the critical realm of trust management within the Internet of Vehicles (IOV) networks, exploring its multifaceted implications on safety and security which forms part of the intelligent transportation system domain. IoV emerges as a powerful convergence, seamlessly amalgamating the Internet of Things (IoT) and the intelligent transportation systems (ITS). This is crucial not only for safety-critical applications but is also an indispensable resource for non-safety applications and efficient traffic flows. While this paradigm holds numerous advantages, the existence of malicious entities and the potential spread of harmful information within the network not only impairs its performance but also presents a danger to both passengers and pedestrians. Exploring the complexities arising from dynamicity and malicious actors, this book focuses primarily on modern trust management models designed to pinpoint and eradicate threats. This includes tackling the challenges regarding the quantification of trust attributes, corresponding weights of these attributes, and misbehavior detection threshold definition within the dynamic and distributed IoV environment. This will serve as an essential guide for industry professionals and researchers working in the areas of automotive systems and transportation networks. Additionally, it will also be useful as a supplementary text for students enrolled in courses covering cybersecurity, communication networks, and human factors in transportation. Sarah Ali Siddiqui is a CSIRO Early Research Career (CERC) Fellow in the Cyber Security Automation and Orchestration Team, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Adnan Mahmood is a Lecturer in Computing – IoT and Networking at the School of Computing, Macquarie University, Sydney, Australia. Quan Z. (Michael) Sheng is a Distinguished Professor and Head of the School of Computing, at Macquarie University, Sydney, Australia. Hajime Suzuki is a Principal Research Scientist at the Cybersecurity & Quantum Systems Group, Software and Computational Systems Research Program, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Wei Ni is a Principal Scientist at the Commonwealth Scientific and Industrial Research Organisation, a Technical Expert at Standards Australia, a Conjoint Pro-fessor at the University of New South Wales, an Adjunct Professor at the University of Technology Sydney, and an Honorary Professor at Macquarie University, Sydney, Australia.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

161

Publisher

CRC Press

Published Date

ISBN 10

1040117201

ISBN 13

9781040117200

Trust Management in Cloud Services

By: Talal H. Noor,Quan Z. Sheng,Athman Bouguettaya

Write a review Read reviews Take a Quiz Solve Book Puzzle

Trust Management in Cloud Services

By: Talal H. Noor,Quan Z. Sheng,Athman Bouguettaya

This book describes the design and implementation of Cloud Armor, a novel approach for credibility-based trust management and automatic discovery of cloud services in distributed and highly dynamic environments. This book also helps cloud users to understand the difficulties of establishing trust in cloud computing and the best criteria for selecting a service cloud. The techniques have been validated by a prototype system implementation and experimental studies using a collection of real world trust feedbacks on cloud services. The authors present the design and implementation of a novel protocol that preserves the consumers’ privacy, an adaptive and robust credibility model, a scalable availability model that relies on a decentralized architecture, and a cloud service crawler engine for automatic cloud services discovery. This book also analyzes results from a performance study on a number of open research issues for trust management in cloud environments including distribution of providers, geographic location and languages. These open research issues illustrate both an overview of the current state of cloud computing and potential future directions for the field. Trust Management in Cloud Services contains both theoretical and applied computing research, making it an ideal reference or secondary text book to both academic and industry professionals interested in cloud services. Advanced-level students in computer science and electrical engineering will also find the content valuable.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

130

Publisher

Springer

Published Date

ISBN 10

3319122509

ISBN 13

9783319122502

Managing Data From Knowledge Bases: Querying and Extraction

By: Wei Emma Zhang,Quan Z. Sheng

Write a review Read reviews Take a Quiz Solve Book Puzzle

Managing Data From Knowledge Bases: Querying and Extraction

By: Wei Emma Zhang,Quan Z. Sheng

In this book, the authors first address the research issues by providing a motivating scenario, followed by the exploration of the principles and techniques of the challenging topics. Then they solve the raised research issues by developing a series of methodologies. More specifically, the authors study the query optimization and tackle the query performance prediction for knowledge retrieval. They also handle unstructured data processing, data clustering for knowledge extraction. To optimize the queries issued through interfaces against knowledge bases, the authors propose a cache-based optimization layer between consumers and the querying interface to facilitate the querying and solve the latency issue. The cache depends on a novel learning method that considers the querying patterns from individual’s historical queries without having knowledge of the backing systems of the knowledge base. To predict the query performance for appropriate query scheduling, the authors examine the queries’ structural and syntactical features and apply multiple widely adopted prediction models. Their feature modelling approach eschews the knowledge requirement on both the querying languages and system. To extract knowledge from unstructured Web sources, the authors examine two kinds of Web sources containing unstructured data: the source code from Web repositories and the posts in programming question-answering communities. They use natural language processing techniques to pre-process the source codes and obtain the natural language elements. Then they apply traditional knowledge extraction techniques to extract knowledge. For the data from programming question-answering communities, the authors make the attempt towards building programming knowledge base by starting with paraphrase identification problems and develop novel features to accurately identify duplicate posts. For domain specific knowledge extraction, the authors propose to use a clustering technique to separate knowledge into different groups. They focus on developing a new clustering algorithm that uses manifold constraints in the optimization task and achieves fast and accurate performance. For each model and approach presented in this dissertation, the authors have conducted extensive experiments to evaluate it using either public dataset or synthetic data they generated.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

148

Publisher

Springer

Published Date

ISBN 10

3319949357

ISBN 13

9783319949352

Security Framework for The Internet of Things Applications

By: Salma Abdalla Hamad,Quan Z. Sheng,Wei Emma Zhang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Security Framework for The Internet of Things Applications

By: Salma Abdalla Hamad,Quan Z. Sheng,Wei Emma Zhang

The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection. This book: Presents a security framework model design named Behavioral Network Traffic Identification and Novelty Anomaly Detection for the IoT Infrastructures Highlights recent advancements in machine learning, deep learning, and networking standards to boost Internet of Things security Builds a near real-time solution for identifying Internet of Things devices connecting to a network using their network traffic traces and providing them with sufficient access privileges Develops a robust framework for detecting IoT anomalous network traffic Covers an anti-malware solution for detecting malware targeting embedded devices It will serve as an ideal text for senior undergraduate and graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

153

Publisher

CRC Press

Published Date

ISBN 10

1040027326

ISBN 13

9781040027325

Book's by Quan Z. Sheng

WEB-BASED INFORMATION TECHNOLOGIES AND DISTRIBUTED SYSTEMS

WEB-BASED INFORMATION TECHNOLOGIES AND DISTRIBUTED SYSTEMS

On the Road to Resilience

On the Road to Resilience

Trust Management in Cloud Services

Trust Management in Cloud Services

Managing Data From Knowledge Bases: Querying and Extraction

Managing Data From Knowledge Bases: Querying and Extraction

Security Framework for The Internet of Things Applications

Security Framework for The Internet of Things Applications

Username

Password

Username

Password

Password again

Birthday

Email