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Books > Computing & IT > Computer communications & networking
This book contains the combined proceedings of the 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network (UCAWSN-15) and the 16th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT-15). The combined proceedings present peer-reviewed contributions from academic and industrial researchers in fields including ubiquitous and context-aware computing, context-awareness reasoning and representation, location awareness services, and architectures, protocols and algorithms, energy, management and control of wireless sensor networks. The book includes the latest research results, practical developments and applications in parallel/distributed architectures, wireless networks and mobile computing, formal methods and programming languages, network routing and communication algorithms, database applications and data mining, access control and authorization and privacy preserving computation.
With the popularity of the Wireless Local Area Network (WLAN) standard 802.11 WiFi and the growing interest in the next generation Wireless Metropolitan Area Network (WMAN) standard 802.16 WiMax, the need for effective solutions to the inherent security weaknesses of these networking technologies has become of critical importance. Thoroughly explaining the risks associated with deploying WLAN and WMAN networks, this groundbreaking book offers professionals practical insight into identifying and overcoming these security issues. Including detailed descriptions of possible solutions to a number of specific security problems, the book gives practitioners the hands-on techniques that they need to secure wireless networks in the enterprise and the home.
Tools used for penetration testing are often purchased or
downloaded from the Internet. Each tool is based on a programming
language such as Perl, Python, or Ruby. If a penetration tester
wants to extend, augment, or change the functionality of a tool to
perform a test differently than the default configuration, the
tester must know the basics of coding for the related programming
language. "Coding for Penetration Testers" provides the reader with
an understanding of the scripting languages that are commonly used
when developing tools for penetration testing. It also guides the
reader through specific examples of custom tool development and the
situations where such tools might be used. While developing a
better understanding of each language, the reader is guided through
real-world scenarios and tool development that can be incorporated
into a tester's toolkit.
Get prepared for the AWS Certified Security Specialty certification with this excellent resource By earning the AWS Certified Security Specialty certification, IT professionals can gain valuable recognition as cloud security experts. The AWS Certified Security Study Guide: Specialty (SCS-C01) Exam helps cloud security practitioners prepare for success on the certification exam. It's also an excellent reference for professionals, covering security best practices and the implementation of security features for clients or employers. Architects and engineers with knowledge of cloud computing architectures will find significant value in this book, which offers guidance on primary security threats and defense principles. Amazon Web Services security controls and tools are explained through real-world scenarios. These examples demonstrate how professionals can design, build, and operate secure cloud environments that run modern applications. The study guide serves as a primary source for those who are ready to apply their skills and seek certification. It addresses how cybersecurity can be improved using the AWS cloud and its native security services. Readers will benefit from detailed coverage of AWS Certified Security Specialty Exam topics. Covers all AWS Certified Security Specialty exam topics Explains AWS cybersecurity techniques and incident response Covers logging and monitoring using the Amazon cloud Examines infrastructure security Describes access management and data protection With a single study resource, you can learn how to enhance security through the automation, troubleshooting, and development integration capabilities available with cloud computing. You will also discover services and tools to develop security plans that work in sync with cloud adoption.
This book explores cybersecurity research and development efforts, including ideas that deal with the growing challenge of how computing engineering can merge with neuroscience. The contributing authors, who are renowned leaders in this field, thoroughly examine new technologies that will automate security procedures and perform autonomous functions with decision making capabilities. To maximize reader insight into the range of professions dealing with increased cybersecurity issues, this book presents work performed by government, industry, and academic research institutions working at the frontier of cybersecurity and network sciences. Cybersecurity Systems for Human Cognition Augmentation is designed as a reference for practitioners or government employees working in cybersecurity. Advanced-level students or researchers focused on computer engineering or neuroscience will also find this book a useful resource.
The worldwide reach of the Internet allows malicious cyber
criminals to coordinate and launch attacks on both cyber and
cyber-physical infrastructure from anywhere in the world. This
purpose of this handbook is to introduce the theoretical
foundations and practical solution techniques for securing critical
cyber and physical infrastructures as well as their underlying
computing and communication architectures and systems. Examples of
such infrastructures include utility networks (e.g., electrical
power grids), ground transportation systems (automotives, roads,
bridges and tunnels), airports and air traffic control systems,
wired and wireless communication and sensor networks, systems for
storing and distributing water and food supplies, medical and
healthcare delivery systems, as well as financial, banking and
commercial transaction assets. The handbook focus mostly on the
scientific foundations and engineering techniques - while also
addressing the proper integration of policies and access control
mechanisms, for example, how human-developed policies can be
properly enforced by an automated system. *Addresses the technical challenges facing design of secure infrastructures by providing examples of problems and solutions from a wide variety of internal and external attack scenarios *Includes contributions from leading researchers and practitioners in relevant application areas such as smart power grid, intelligent transportation systems, healthcare industry and so on. *Loaded with examples of real world problems and pathways to solutions utilizing specific tools and techniques described in detail throughout
Cyberspace is everywhere in today s world and has significant implications not only for global economic activity, but also for international politics and transnational social relations. This compilation addresses for the first time the cyberization of international relations - the growing dependence of actors in IR on the infrastructure and instruments of the internet, and the penetration of cyberspace into all fields of their activities. The volume approaches this topical issue in a comprehensive and interdisciplinary fashion, bringing together scholars from disciplines such as IR, security studies, ICT studies and philosophy as well as experts from everyday cyber-practice. In the first part, concepts and theories are presented to shed light on the relationship between cyberspace and international relations, discussing implications for the discipline and presenting fresh and innovative theoretical approaches. Contributions in the second part focus on specific empirical fields of activity (security, economy, diplomacy, cultural activity, transnational communication, critical infrastructure, cyber espionage, social media, and more) and address emerging challenges and prospects for international politics and relations."
Modern organizations are critically dependent on data communications and network systems utilized in managing information and communications, vital to continuity and success of operations. ""Breakthrough Perspectives in Network and Data Communications Security, Design and Applications"" addresses key issues and offers expert viewpoints into the field of network and data communications, providing the academic, information technology, and managerial communities with the understanding necessary to implement robust, secure, and effective solutions. This much-needed addition to library and professional collections offers a matchless set of high quality research articles and premier technologies to address the most salient issues in network and data communications.
The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data's immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data. The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments.
When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights. The authors articulate and accentuate the challenges widely associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases across cloud system operations in transportation and cyber security and other business domains. The book will be of interest to ICTs industry and academic researchers, scientists and engineers as well as lecturers and advanced students in the fields of data science, cloud/fog/edge architecture, internet of things and artificial intelligence and related fields of applications. It will also be useful to cloud/edge/fog and IoT architects, analytics professionals, IT operations teams and site reliability engineers (SREs).
This comprehensive textbook/reference presents a focused review of the state of the art in privacy research, encompassing a range of diverse topics. The first book of its kind designed specifically to cater to courses on privacy, this authoritative volume provides technical, legal, and ethical perspectives on privacy issues from a global selection of renowned experts. Features: examines privacy issues relating to databases, P2P networks, big data technologies, social networks, and digital information networks; describes the challenges of addressing privacy concerns in various areas; reviews topics of privacy in electronic health systems, smart grid technology, vehicular ad-hoc networks, mobile devices, location-based systems, and crowdsourcing platforms; investigates approaches for protecting privacy in cloud applications; discusses the regulation of personal information disclosure and the privacy of individuals; presents the tools and the evidence to better understand consumers' privacy behaviors.
Due to the proliferation of distributed mobile technologies and heavy usage of social media, identity and access management has become a very challenging area. Businesses are facing new demands in implementing solutions, however, there is a lack of information and direction. Contemporary Identity and Access Management Architectures: Emerging Research and Opportunities is a critical scholarly resource that explores management of an organization's identities, credentials, and attributes which assures the identity of a user in an extensible manner set for identity and access administration. Featuring coverage on a broad range of topics, such as biometric application programming interfaces, telecommunication security, and role-based access control, this book is geared towards academicians, practitioners, and researchers seeking current research on identity and access management.
This book provides extensive insight into the possibilities and challenges of XML in building new information management solutions in networked organizations. After a brief introduction to Web communication features and XML fundamentals, the book examines the benefits of adopting XML and illustrates various types of XML use: XML in document management; XML for data-centric and multimedia components; XML as a format for metadata, including metadata for the Semantic Web; and XML in support of data interchange between software applications and among organizations. The challenges of adopting XML in large-scale information management are also discussed. In addition, applications across a broad spectrum are examined and numerous case studies pertaining to the adoption of XML are presented. The book is particularly suitable for courses offered in Information Studies, Information Systems, or Information Technology. It also serves as an excellent practical guide for professionals in information management and provides important support material for courses in Computer Science and in Business.
With a variety of media types, multimedia data engineering has emerged as a new opportunity to create techniques and tools that empower the development of the next generation of multimedia databases and information systems. Multimedia Data Engineering Applications and Processing presents different aspects of multimedia data engineering and management research. This collection of recent theories, technologies and algorithms brings together a detailed understanding of multimedia engineering and its applications. This reference source will be of essential use for researchers, scientists, professionals and software engineers in the field of multimedia.
Private cloud computing enables you to consolidate diverse
enterprise systems into one that is cloud-based and can be accessed
by end-users seamlessly, regardless of their location or changes in
overall demand. Expert authors Steve Smoot and Nam K. Tan distill
their years of networking experience to describe how to build
enterprise networks to create a private cloud. With their
techniques you'll create cost-saving designs and increase the
flexibility of your enterprise, while maintaining the security and
control of an internal network. "Private Cloud Computing "offers a
complete cloud architecture for enterprise networking by
synthesizing WAN optimization, next-generation data centers, and
virtualization in a network-friendly way, tying them together into
a complete solution that can be progressively migrated to as time
and resources permit.
In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few. The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were supposed to have a majority of nodes of about the same number of connections around an average. This is typically modeled by random graphs. But modern network research could show that the majority of nodes of real networks is very low connected, and, by contrast, there exists some nodes of very extreme connectivity (hubs). The current theories coupled with the availability of data makes the field of Complex Networks (sometimes called Network Sciences) one of the most promising interdisciplinary disciplines of today. This sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music, and the understanding knowledge transfer in influence networks."
Networking technologies and concepts are often difficult to explain, even through careful description and well thought out examples. One method for making this information "stick" is to create an environment where networking professionals and students can visualize how networks work by utilizing a software tool that simulates the functions within a network. The tool provides a virtual environment for an assortment of desirable features such as modeling a network based on specified criteria and predicting its performance. "The Network Simulation Experiments Manual" takes this
instructional tool a step further and provides detailed experiments
on core networking topologies for use in this simulation
environment. Various scenarios are presented within each topology:
Review questions, suggested readings, a lab report, and exercises
accompanying each assignment. The manual also comes with directions
for downloading the free and easy-to-install OPNET IT Guru Academic
Edition software. This software provides a virtual environment for
modeling, analyzing, and predicting the performance of IT
infrastructures, including applications, servers, and networking
technologies. Prepared by Professor Emad Aboelela of the Taibah
University, Saudi Arabia, the experiments in the manual are closely
tied to the organization of "Computer Networks: A Systems Approach,
Fifth Edition" and, when used together, serve as a complete tool
for understanding how and why computer networks function as they
do.
This monograph illustrates important notions in security reductions and essential techniques in security reductions for group-based cryptosystems. Using digital signatures and encryption as examples, the authors explain how to program correct security reductions for those cryptographic primitives. Various schemes are selected and re-proven in this book to demonstrate and exemplify correct security reductions. This book is suitable for researchers and graduate students engaged with public-key cryptography.
This book provides a collection of concepts, algorithms, and techniques that effectively harness the power of Spatial Network Big Data. Reading this book is a first step towards understanding the immense challenges and novel applications of SNBD database systems. This book explores these challenges via investigating scalable graph-based query processing strategies and I/O efficient storage and access methods. This book will be of benefit to academics, researchers, engineers with a particular interest in network database models, network query processing, and physical storage models.
Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making. Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.
A smart building is the state-of-art in building with features that facilitates informed decision making based on the available data through smart metering and IoT sensors. This set provides useful information for developing smart buildings including significant improvement of energy efficiency, implementation of operational improvements and targeting sustainable environment to create an effective customer experience. It includes case studies from industrial results which provide cost effective solutions and integrates the digital SCADE solution. Describes complete implication of smart buildings via industrial, commercial and community platforms Systematically defines energy-efficient buildings, employing power consumption optimization techniques with inclusion of renewable energy sources Covers data centre and cyber security with excellent data storage features for smart buildings Includes systematic and detailed strategies for building air conditioning and lighting Details smart building security propulsion. This set is aimed at graduate students, researchers and professionals in building systems, architectural, and electrical engineering. |
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