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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 constitutes the refereed proceedings of the 4th International Conference on Technology Trends, CITT 2018, held in Babahoyo, Ecuador, in August 2018. The 53 revised full papers presented were carefully reviewed and selected from 204 submissions. The papers are organized in topical sections on communications; security and privacy; computer and software engineering; computational intelligence; e-government and e-participation.
This book constitutes the refereed proceedings of the 14th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2017, held in Bonn, Germany, in July 2017. The 18 revised full papers included in this book were carefully reviewed and selected from 67 submissions. They present topics such as enclaves and isolation; malware analysis; cyber-physical systems; detection and protection; code analysis; and web security.
This book constitutes the refereed proceedings of the Second International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, ISDDC 2018, held in Vancouver, BC, Canada, in November 2018. The 10 full papers were carefully reviewed and selected from 28 submissions. This book also contains the abstracts of two keynote talks and one tutorial. The contributions included in this proceedings cover many aspects of theory and application of effective and efficient paradigms, approaches, and tools for building, maintaining, and managing secure and dependable systems and infrastructures, such as botnet detection, secure cloud computing and cryptosystems, IoT security, sensor and social network security, behavioral systems and data science, and mobile computing.
This book aims to explore the aspects of strategic leadership in a digital context together with the cyber-physical relationships whilst performing business activities. Furthermore, this book looks to investigate the interactions from both the organization strategy including the cross-functional actors/stakeholders whom are operating within the organization and the various characteristics of operating in a cyber secure ecosystem. The book provides a valuable reference for IT directors, strategic leaders, cybersecurity experts, network security professionals. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cybersecurity. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programs in cybersecurity, network security and computer science. Each chapter is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertainin
This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The program committee received 175 submissions. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 59 papers were finally selected. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.
This book constitutes the refereed proceedings of the 15th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2018, held in Saclay, France, in June 2018. The 17 revised full papers and 1 short paper included in this book were carefully reviewed and selected from 59 submissions. They present topics such as malware analysis; mobile and embedded security; attacks; detection and containment; web and browser security; and reverse engineering.
CSA Guide to Cloud Computing brings you the most current and comprehensive understanding of cloud security issues and deployment techniques from industry thought leaders at the Cloud Security Alliance (CSA). For many years the CSA has been at the forefront of research and analysis into the most pressing security and privacy related issues associated with cloud computing. CSA Guide to Cloud Computing provides you with a one-stop source for industry-leading content, as well as a roadmap into the future considerations that the cloud presents. The authors of CSA Guide to Cloud Computing provide a wealth of industry expertise you won't find anywhere else. Author Raj Samani is the Chief Technical Officer for McAfee EMEA; author Jim Reavis is the Executive Director of CSA; and author Brian Honan is recognized as an industry leader in the ISO27001 standard. They will walk you through everything you need to understand to implement a secure cloud computing structure for your enterprise or organization. - Your one-stop source for comprehensive understanding of cloud security from the foremost thought leaders in the industry - Insight into the most current research on cloud privacy and security, compiling information from CSA's global membership - Analysis of future security and privacy issues that will impact any enterprise that uses cloud computing
The duty to keep customer information confidential affects banks on a daily basis. Bank secrecy regimes around the world differ and multi-national banks can find themselves in conflicted positions with a duty to protect information in one jurisdiction and a duty to disclose it in another. This problem has been heightened by the international trend promoting information disclosure in order to combat tax evasion, money laundering and terrorist financing. The US Foreign Account Tax Compliance Act (FATCA) is perhaps the most well-known. At the same time, data protection legislation is proliferating around the world. This book offers a holistic treatment of bank secrecy in major financial jurisdictions around the world, east and west, by jurisdictional experts as well as chapters by subject specialists covering the related areas of confidentiality in its broader privacy context, data protection, conflicts of laws, and exchange of information for the purposes of combatting international crime.