This is book offers in-depth analysis of security vulnerabilities in different mobile operating systems. It provides methodology and solutions for handling Android malware and vulnerabilities and transfers the latest knowledge in machine learning and deep learning models towards this end. Further, it presents a comprehensive analysis of software vulnerabilities based on different technical parameters such as causes, severity, techniques, and software systems’ type. Moreover, the book also presents the current state of the art in the domain of software threats and vulnerabilities. This would help analyze various threats that a system could face, and subsequently, it could guide the securityengineer to take proactive and cost-effective countermeasures. Security threats are escalating exponentially, thus posing a serious challenge to mobile platforms. Android and iOS are prominent due to their enhanced capabilities and popularity among users. Therefore, it is important to compare these two mobile platforms based on security aspects. Android proved to be more vulnerable compared to iOS. The malicious apps can cause severe repercussions such as privacy leaks, app crashes, financial losses (caused by malware triggered premium rate SMSs), arbitrary code installation, etc. Hence, Android security is a major concern amongst researchers as seen in the last few years. This book provides an exhaustive review of all the existing approaches in a structured format. The book also focuses on the detection of malicious applications that compromise users' security and privacy, the detection performance of the different program analysis approach, and the influence of different input generators during static and dynamic analysis on detection performance. This book presents a novel method using an ensemble classifier scheme for detecting malicious applications, which is less susceptible to the evolution of the Android ecosystem and malware compared to previous methods. The book also introduces an ensemble multi-class classifier scheme to classify malware into known families. Furthermore, we propose a novel framework of mapping malware to vulnerabilities exploited using Android malware’s behavior reports leveraging pre-trained language models and deep learning techniques. The mapped vulnerabilities can then be assessed on confidentiality, integrity, and availability on different Android components and sub-systems, and different layers.

This book describes the detailed concepts of mobile security. The first two chapters provide a deeper perspective on communication networks, while the rest of the book focuses on different aspects of mobile security, wireless networks, and cellular networks. This book also explores issues of mobiles, IoT (Internet of Things) devices for shopping and password management, and threats related to these devices. A few chapters are fully dedicated to the cellular technology wireless network. The management of password for the mobile with the modern technologies that helps on how to create and manage passwords more effectively is also described in full detail. This book also covers aspects of wireless networks and their security mechanisms. The details of the routers and the most commonly used Wi-Fi routers are provided with some step-by-step procedures to configure and secure them more efficiently. This book will offer great benefits to the students of graduate and undergraduate classes, researchers, and also practitioners.

Mobile Security and Privacy: Advances, Challenges and Future Research Directions provides the first truly holistic view of leading edge mobile security research from Dr. Man Ho Au and Dr. Raymond Choo—leading researchers in mobile security. Mobile devices and apps have become part of everyday life in both developed and developing countries. As with most evolving technologies, mobile devices and mobile apps can be used for criminal exploitation. Along with the increased use of mobile devices and apps to access and store sensitive, personally identifiable information (PII) has come an increasing need for the community to have a better understanding of the associated security and privacy risks. Drawing upon the expertise of world-renowned researchers and experts, this volume comprehensively discusses a range of mobile security and privacy topics from research, applied, and international perspectives, while aligning technical security implementations with the most recent developments in government, legal, and international environments. The book does not focus on vendor-specific solutions, instead providing a complete presentation of forward-looking research in all areas of mobile security. The book will enable practitioners to learn about upcoming trends, scientists to share new directions in research, and government and industry decision-makers to prepare for major strategic decisions regarding implementation of mobile technology security and privacy. In addition to the state-of-the-art research advances, this book also discusses prospective future research topics and open challenges. - Presents the most current and leading edge research on mobile security and privacy, featuring a panel of top experts in the field - Provides a strategic and international overview of the security issues surrounding mobile technologies - Covers key technical topics and provides readers with a complete understanding of the most current research findings along with future research directions and challenges - Enables practitioners to learn about upcoming trends, scientists to share new directions in research, and government and industry decision-makers to prepare for major strategic decisions regarding the implementation of mobile technology security and privacy initiatives

Updated annually, the Information Security Management Handbook, Sixth Edition, Volume 7 is the most comprehensive and up-to-date reference available on information security and assurance. Bringing together the knowledge, skills, techniques, and tools required of IT security professionals, it facilitates the up-to-date understanding required to stay

The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.

Use self-driven data centers to reduce management complexity by deploying Infrastructure as Code to gain value from investments. Key FeaturesAdd smart capabilities in VMware Workspace ONE to deliver customer insights and improve overall securityOptimize your HPC and big data infrastructure with the help of machine learningAutomate your VMware data center operations with machine learningBook Description This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences. You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products. What you will learnOrchestrate on-demand deployments based on defined policiesAutomate away common problems and make life easier by reducing errors Deliver services to end users rather than to virtual machinesReduce rework in a multi-layered scalable manner in any cloudExplore the centralized life cycle management of hybrid cloudsUse common code so you can run it across any cloud Who this book is for This book is intended for those planning, designing, and implementing the virtualization/cloud components of the Software-Defined Data Center foundational infrastructure. It helps users to put intelligence in their automation tasks to get self driving data center. It is assumed that the reader has knowledge of, and some familiarity with, virtualization concepts and related topics, including storage, security, and networking.

Pen Testing from Contractto Report Protect your system or web application with this accessible guide Penetration tests, also known as ‘pen tests’, are a means of assessing the security of a computer system by simulating a cyber-attack. These tests can be an essential tool in detecting exploitable vulnerabilities in a computer system or web application, averting potential user data breaches, privacy violations, losses of system function, and more. With system security an increasingly fundamental part of a connected world, it has never been more important that cyber professionals understand the pen test and its potential applications. Pen Testing from Contract to Report offers a step-by-step overview of the subject. Built around a new concept called the Penetration Testing Life Cycle, it breaks the process into phases, guiding the reader through each phase and its potential to expose and address system vulnerabilities. The result is an essential tool in the ongoing fight against harmful system intrusions. In Pen Testing from Contract to Report readers will also find: Content mapped to certification exams such as the CompTIA PenTest+ Detailed techniques for evading intrusion detection systems, firewalls, honeypots, and more Accompanying software designed to enable the reader to practice the concepts outlined, as well as end-of-chapter questions and case studies Pen Testing from Contract to Report is ideal for any cyber security professional or advanced student of cyber security.