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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
Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review
With the rising demand for E-commerce, Social Networking websites, it has become essential to develop security protocols over the World Wide Web that can provide security and privacy to Internet users all over the globe. Several traditional encryption techniques and attack detection protocols can secure the data transmitted over public networks. However, hackers can effortlessly exploit them to acquire access to the users’ sensitive information such as user ID, session ID, cookies, passwords, bank account details, contact numbers, private PINs, database information, etc. Researchers have continuously innovated new techniques to build a secure and robust system that cannot be easily hacked and manipulated. Still, there is much scope for novelty to provide security against contemporary techniques used by intruders. The motivation of this survey is to observe the recent developments in Cross-Site Scripting attacks and techniques used by researchers to secure confidential information. Cross-Site Scripting (XSS) has been recognized as one of the top 10 online application security risks by the Open Web Application Security Project (OWASP) for decades. Therefore, dealing with this security flaw in web applications has become essential to avoid further personal and financial damage to Internet users and business organizations. There is a need for an extensive survey of recent XSS attack detection techniques that can provide the right direction to researchers and security professionals. We present a complete overview of recent machine learning and neural network-based XSS attack detection techniques in this paper, covering deep neural networks, decision trees, web-log-based detection models, and many more. This paper also highlights the research gaps that must be addressed while designing attack detection models. Further, challenges researchers face during the development of recent techniques are also discussed. Finally, future directions are provided to reflect on new concepts that can be used in forthcoming research works to improve XSS attack detection techniques.
Journal Article
Blocks and Chains
The new field of cryptographic currencies and consensus ledgers, commonly referred to as blockchains, is receiving increasing interest from various different communities. These communities are very diverse and amongst others include: technical enthusiasts, activist groups, researchers from various disciplines, start ups, large enterprises, public authorities, banks, financial regulators, business men, investors, and also criminals. The scientific community adapted relatively slowly to this emerging and fast-moving field of cryptographic currencies and consensus ledgers. This was one reason that, for quite a while, the only resources available have been the Bitcoin source code, blog and forum posts, mailing lists, and other online publications. Also the original Bitcoin paper which initiated the hype was published online without any prior peer review. Following the original publication spirit of the Bitcoin paper, a lot of innovation in this field has repeatedly come from the community itself in the form of online publications and online conversations instead of established peer-reviewed scientific publishing. On the one side, this spirit of fast free software development, combined with the business aspects of cryptographic currencies, as well as the interests of today's time-to-market focused industry, produced a flood of publications, whitepapers, and prototypes. On the other side, this has led to deficits in systematization and a gap between practice and the theoretical understanding of this new field. This book aims to further close this gap and presents a well-structured overview of this broad field from a technical viewpoint. The archetype for modern cryptographic currencies and consensus ledgers is Bitcoin and its underlying Nakamoto consensus. Therefore we describe the inner workings of this protocol in great detail and discuss its relations to other derived systems.
eBook
Professional Security Management
Historically, security managers have tended to be sourced from either the armed forces or law enforcement. But the increasing complexity of the organisations employing them, along with the technologies employed by them, is forcing an evolution and expansion of the role, and security managers must meet this challenge in order to succeed in their field and protect the assets of their employers. Risk management, crisis management, continuity management, strategic business operations, data security, IT, and business communications all fall under the purview of the security manager.
This book is a guide to meeting those challenges, providing the security manager with the essential skill set and knowledge base to meet the challenges faced in contemporary, international, or tech-oriented businesses. It covers the basics of strategy, risk, and technology from the perspective of the security manager, focussing only on the ‘need to know’. The reader will benefit from an understanding of how risk management aligns its functional aims with the strategic goals and operations of the organisation.
This essential book supports professional vocational accreditation and qualifications, such as the Chartered Security Professional (CSyP) or Certified Protection Professional (CPP), and advises on pathways to higher education qualifications in the fields of security and risk management. It is ideal for any risk manager looking to further their training and development, as well as being complementary for risk and security management programs with a focus on practice.
eBook
Information Security Governance Simplified
Security practitioners must be able to build a cost-effective security program while at the same time meet the requirements of government regulations. This book lays out these regulations in simple terms and explains how to use the control frameworks to build an effective information security program and governance structure. It discusses how organizations can best ensure that the information is protected and examines all positions from the board of directors to the end user, delineating the role each plays in protecting the security of the organization.
eBook
Assessing Trust and Intention to Continue Using Internet Banking Through Security Dimension Impact: A Partial Least Squares Analysis
Internet banking is gaining popularity in Malaysia due to its convenience which is achieved by unique business interactions between banking institutions and customers via websites and mobile applications. Based on the past studies, this article developed a research framework to gauge the impact of security dimensions on customer's trust towards intention to continue using Internet banking. By testing the framework using a sample of 163 internet banking users, this study offers significant insights into the potential confidentiality dimensions has significant influence on customer's trust towards intention to continue using Internet banking. The findings revealed that although there was an insignificant relationship between authentication, data integrity and non-repudiation dimension towards customer trust might be the user think that confidentiality was most important factor that contribute to customer's trust level. Consequently, this study presents and supports the important role of trust as a considerable determinant of intention to continue using Internet banking.
Journal Article
Measuring inequality of opportunities in Latin America and the Caribbean
Equality of opportunity is about leveling the playing field so that circumstances such as gender, ethnicity, place of birth, or family background do not influence a person's life chances. Success in life should depend on people's choices, effort and talents, not to their circumstances at birth. 'Measuring Inequality of Opportunities in Latin America and the Caribbean' introduces new methods for measuring inequality of opportunities and makes an assessment of its evolution in Latin America over a decade. An innovative Human Opportunity Index and other parametric and non-parametric techniques are presented for quantifying inequality based on circumstances exogenous to individual efforts. These methods are applied to gauge inequality of opportunities in access to basic services for children, learning achievement for youth, and income and consumption for adults.
eBook
The keys to fighting cyber crime
FBI National Academy Instructor Gene West discusses cyber crime and security with Carol Massar on Bloomberg Television's 'Taking Stock.'
Streaming Video
The MoneyWatch Report
Owner Misty Mansouri transformed the five-car parking lot at her Los Angeles restaurant into an outdoor dining oasis. Tables are placed in small, open-aired greenhouses to provide privacy and maximize social distancing. With indoor dining still not allowed in L.A. because of COVID-19, this was the only way to keep her business alive.
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