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Beginning security with Microsoft technologies : protecting Office 365, devices, and data
\"Secure and manage your Azure cloud infrastructure, Office 365, and SaaS-based applications and devices. This book focuses on security in the Azure cloud, covering aspects such as identity protection in Azure AD, network security, storage security, unified security management through Azure Security Center, and many more. Beginning Security with Microsoft Technologies begins with an introduction to some common security challenges and then discusses options for addressing them. You will learn about Office Advanced Threat Protection (ATP), the importance of device-level security, and about various products such as Device Guard, Intune, Windows Defender, and Credential Guard. As part of this discussion you'll cover how secure boot can help an enterprise with pre-breach scenarios. Next, you will learn how to set up Office 365 to address phishing and spam, and you will gain an understanding of how to protect your company's Windows devices. Further, you will also work on enterprise-level protection, including how advanced threat analytics aids in protection at the enterprise level. Finally, you'll see that there are a variety of ways in which you can protect your information. After reading this book you will be able to understand the security components involved in your infrastructure and apply methods to implement security solutions. What You Will Learn Keep corporate data and user identities safe and secure Identify various levels and stages of attacks Safeguard information using Azure Information Protection, MCAS, and Windows Information Protection, regardless of your location Use advanced threat analytics, Azure Security Center, and Azure ATP Who This Book Is For Administrators who want to build secure infrastructure at multiple levels such as email security, device security, cloud infrastructure security, and more.\" -- ONIX annotation.
Book
The Other Welfare
The Other Welfareoffers the first comprehensive history of Supplemental Security Income (SSI), from its origins as part of President Nixon's daring social reform efforts to its pivotal role in the politics of the Clinton administration. Enacted into law in 1972, Supplemental Security Income (SSI) marked the culmination of liberal social and economic policies that began during the New Deal. The new program provided cash benefits to needy elderly, blind, and disabled individuals. Because of the complex character of SSI-marking both the high tide of the Great Society and the beginning of the retrenchment of the welfare state-it provides the perfect subject for assessing the development of the American state in the late twentieth century.
SSI was launched with the hope of freeing welfare programs from social and political stigma; it instead became a source of controversy almost from its very start. Intended as a program that paid uniform benefits across the nation, it ended up replicating many of the state-by-state differences that characterized the American welfare state. Begun as a program intended to provide income for the elderly, SSI evolved into a program that served people with disabilities, becoming a primary source of financial aid for the de-institutionalized mentally ill and a principal support for children with disabilities.
Written by a leading historian of America's welfare state and the former chief historian of the Social Security Administration,The Other Welfareilluminates the course of modern social policy. Using documents previously unavailable to researchers, the authors delve into SSI's transformation from the idealistic intentions of its founders to the realities of its performance in America's highly splintered political system. In telling this important and overlooked history, this book alters the conventional wisdom about the development of American social welfare policy.
eBook
Understanding cybersecurity management in decentralized finance : challenges, strategies, and trends
This book discusses understand cybersecurity management in decentralized finance (DeFi). It commences with introducing fundamentals of DeFi and cybersecurity to readers. It emphasizes on the importance of cybersecurity for decentralized finance by illustrating recent cyber breaches, attacks, and financial losses. The book delves into understanding cyber threats and adversaries who can exploit those threats. It advances with cybersecurity threat, vulnerability, and risk management in DeFi. The book helps readers understand cyber threat landscape comprising different threat categories for that can exploit different types of vulnerabilities identified in DeFi. It puts forward prominent threat modelling strategies by focusing on attackers, assets, and software. The book includes the popular blockchains that support DeFi include Ethereum, Binance Smart Chain, Solana, Cardano, Avalanche, Polygon, among others. With so much monetary value associated with all these technologies, the perpetrators are always lured to breach security by exploiting the vulnerabilities that exist in these technologies. For simplicity and clarity, all vulnerabilities are classified into different categories: arithmetic bugs, re-Entrancy attack, race conditions, exception handling, using a weak random generator, timestamp dependency, transaction-ordering dependence and front running, vulnerable libraries, wrong initial assumptions, denial of service, flash loan attacks, and vampire Since decentralized finance infrastructures are the worst affected by cyber-attacks, it is imperative to understand various security issues in different components of DeFi infrastructures and proposes measures to secure all components of DeFi infrastructures. It brings the detailed cybersecurity policies and strategies that can be used to secure financial institutions. Finally, the book provides recommendations to secure DeFi infrastructures from cyber-attacks.
Book
A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions
Internet usage has grown exponentially, with individuals and companies performing multiple daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) pandemic has accelerated this process. As a result of the widespread usage of the digital environment, traditional crimes have also shifted to the digital space. Emerging technologies such as cloud computing, the Internet of Things (IoT), social media, wireless communication, and cryptocurrencies are raising security concerns in cyberspace. Recently, cyber criminals have started to use cyber attacks as a service to automate attacks and leverage their impact. Attackers exploit vulnerabilities that exist in hardware, software, and communication layers. Various types of cyber attacks include distributed denial of service (DDoS), phishing, man-in-the-middle, password, remote, privilege escalation, and malware. Due to new-generation attacks and evasion techniques, traditional protection systems such as firewalls, intrusion detection systems, antivirus software, access control lists, etc., are no longer effective in detecting these sophisticated attacks. Therefore, there is an urgent need to find innovative and more feasible solutions to prevent cyber attacks. The paper first extensively explains the main reasons for cyber attacks. Then, it reviews the most recent attacks, attack patterns, and detection techniques. Thirdly, the article discusses contemporary technical and nontechnical solutions for recognizing attacks in advance. Using trending technologies such as machine learning, deep learning, cloud platforms, big data, and blockchain can be a promising solution for current and future cyber attacks. These technological solutions may assist in detecting malware, intrusion detection, spam identification, DNS attack classification, fraud detection, recognizing hidden channels, and distinguishing advanced persistent threats. However, some promising solutions, especially machine learning and deep learning, are not resistant to evasion techniques, which must be considered when proposing solutions against intelligent cyber attacks.
Journal Article
A Theoretical Foundation for Explaining and Predicting the Effectiveness of a Bring Your Own Device Program in Organizations
Bring Your Own Device (BYOD) adoption in organizations continues to grow in recent years, with the aim to improve both organization cost-saving, employee job satisfaction, and employee productivity. A BYOD environment has its unique set of organizational security opportunities and challenges. As a result, BYOD program deployment requires organizations to develop and rollout new information security measures and policies unique to this environment. Successful adoption of BYOD thus requires an effective BYOD information security program deployment. Our study seeks to develop a theoretical foundation for explaining and predicting the effectiveness of a BYOD program deployment. Specifically, we evaluate the applicability of Knapp and Ferrante’s Information Security Policy and Effectiveness (ISPE) model to explain and predict BYOD program deployment effectiveness. The relationships between the fundamental causal factors in the model, namely awareness, enforcement, and maintenance, and the program effectiveness, were evaluated using a sample of 119 BYOD users working in the financial sector in the United States. Our study supports the use of the ISPE model to assess the effectiveness of a BYOD information security program deployment. Security policy awareness, enforcement, and maintenance together account for 72% of the change in the BYOD security program effectiveness.
Journal Article
Configuring Check Point NGX VPN-1/Firewall-1
Check Point NGX VPN-1/Firewall-1 is the next major release of Check Point's flagship firewall software product, which has over 750,000 registered users. The most significant changes to this release are in the areas of Route Based VPN, Directional VPN, Link Selection & Tunnel Management, Multiple Entry Points, Route Injection Mechanism, Wire Mode, and SecurePlatform Pro. Many of the new features focus on how to configure and manage Dynamic Routing rules, which are essential to keeping an enterprise network both available *and* secure. Demand for this book will be strong because Check Point is requiring all of its 3rd party developers to certify their products for this release. * Packed full with extensive coverage of features new to the product, allowing 3rd party partners to certify NGX add-on products quickly * Protect your network from both internal and external threats and learn to recognize future threats * All yuou need to securly and efficiently deploy, troubleshoot, and maintain Check Point NXG
eBook
Gray hat C# : a hacker's guide to creating and automating security tools
\"Teaches how to use C#'s set of core libraries to automate tasks like performing vulnerability scans, malware analysis, and incident response. Teaches how to write practical security tools that will run on Mac, Linux, and mobile devices\"-- Provided by publisher.
Book
Blockchain drivers to achieve sustainable food security in the Indian context
Blockchain has the potential to improve sustainable food security due to its unique features like traceability, decentralized and immutable database, and smart contract mechanisms. However, blockchain technology is still in the early stages of adoption in particular in agricultural applications. In this context, this article aims to identify blockchain drivers to achieve sustainable food security in the Indian context and model them using an integrated MCDM (Multiple Criteria Decision Making) approach. The blockchain adoption drivers are identified through an exhaustive literature review and opinions from domain experts from industry, academia, and Agriculture Supply Chain (ASC) stakeholders. Subsequently, the integrated MCDM approach is developed by combining Total Interpretive Structural Modelling (TISM) and Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), which does not only investigate the interrelation between the identified constructs and builds hierarchy but also determines the intensity of the causal interrelationships. At a later stage, Fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) is used to cluster the identified drivers to evaluate the importance of each driver. The results reveal that Traceability, Real-time information availability to agro-stakeholder, and Decentralized and immutable database are the most significant drivers. Policymakers, governmental organizations and other relevant stakeholders may utilize the information about the interrelationship between these drivers and their influential power, to frame suitable strategies for enhancing the adoption rate of blockchain in the Indian ASC.
Journal Article