Implementing Enterprise Cybersecurity With Opensource Software And Standard Architecture

Cyber security is one of the most critical problems faced by enterprises, government organizations, education institutes, small and medium scale businesses, and medical institutions today. Creating a cyber security posture through proper cyber security architecture, deployment of cyber defense tools, and building a security operation center are critical for all such organizations given the preponderance of cyber threats. However, cyber defense tools are expensive, and many small and medium-scale business houses cannot procure these tools within their budgets. Even those business houses that manage to procure them cannot use them effectively because of the lack of human resources and the knowledge of the standard enterprise security architecture. In 2020, the C3i Center at the Indian Institute of Technology Kanpur developed a professional certification course where IT professionals from various organizations go through rigorous six-month long training in cyber defense. During their training, groups within the cohort collaborate on team projects to develop cybersecurity solutions for problems such as malware analysis, threat intelligence collection, endpoint detection and protection, network intrusion detection, developing security incidents, event management systems, etc. All these projects leverage open-source tools, and code from various sources, and hence can be also constructed by others if the recipe to construct such tools is known. It is therefore beneficial if we put these recipes out in the form of book chapters such that small and medium scale businesses can create these tools based on open-source components, easily following the content of the chapters. In 2021, we published the first volume of this series based on the projects done by cohort 1 of the course. This volume, second in the series has new recipes and tool development expertise based on the projects done by cohort 3 of this training program. This volume consists of nine chapters that describe experience and know-how of projects in malware analysis, web application security, intrusion detection system, and honeypot in sufficient detail so they can be recreated by anyone looking to develop home grown solutions to defend themselves from cyber-attacks.

Cyber security is one of the most critical problems faced by enterprises, government organizations, education institutes, small and medium scale businesses, and medical institutions today. Creating a cyber security posture through proper cyber security architecture, deployment of cyber defense tools, and building a security operation center are critical for all such organizations given the preponderance of cyber threats. However, cyber defense tools are expensive, and many small and medium-scale business houses cannot procure these tools within their budgets. Even those business houses that manage to procure them cannot use them effectively because of the lack of human resources and the knowledge of the standard enterprise security architecture. In 2020, the C3i Center at the Indian Institute of Technology Kanpur developed a professional certification course where IT professionals from various organizations go through rigorous six-month long training in cyber defense. During their training, groups within the cohort collaborate on team projects to develop cybersecurity solutions for problems such as malware analysis, threat intelligence collection, endpoint detection and protection, network intrusion detection, developing security incidents, event management systems, etc. All these projects leverage open-source tools, and code from various sources, and hence can be also constructed by others if the recipe to construct such tools is known. It is therefore beneficial if we put these recipes out in the form of book chapters such that small and medium scale businesses can create these tools based on open-source components, easily following the content of the chapters. In 2021, we published the first volume of this series based on the projects done by cohort 1 of the course. This volume, second in the series has new recipes and tool development expertise based on the projects done by cohort 3 of this training program. This volume consists of nine chapters that describe experience and know-how of projects in malware analysis, web application security, intrusion detection system, and honeypot in sufficient detail so they can be recreated by anyone looking to develop home grown solutions to defend themselves from cyber-attacks.

Enterprise Cybersecurity empowers organizations of all sizes to defend themselves with next-generation cybersecurity programs against the escalating threat of modern targeted cyberattacks. This book presents a comprehensive framework for managing all aspects of an enterprise cybersecurity program. It enables an enterprise to architect, design, implement, and operate a coherent cybersecurity program that is seamlessly coordinated with policy, programmatics, IT life cycle, and assessment. Fail-safe cyberdefense is a pipe dream. Given sufficient time, an intelligent attacker can eventually defeat defensive measures protecting an enterprise’s computer systems and IT networks. To prevail, an enterprise cybersecurity program must manage risk by detecting attacks early enough and delaying them long enough that the defenders have time to respond effectively. Enterprise Cybersecurity shows players at all levels of responsibility how to unify their organization’s people, budgets, technologies, and processes into a cost-efficient cybersecurity program capable of countering advanced cyberattacks and containing damage in the event of a breach. The authors of Enterprise Cybersecurity explain at both strategic and tactical levels how to accomplish the mission of leading, designing, deploying, operating, managing, and supporting cybersecurity capabilities in an enterprise environment. The authors are recognized experts and thought leaders in this rapidly evolving field, drawing on decades of collective experience in cybersecurity and IT. In capacities ranging from executive strategist to systems architect to cybercombatant, Scott E. Donaldson, Stanley G. Siegel, Chris K. Williams, and Abdul Aslam have fought on the front lines of cybersecurity against advanced persistent threats to government, military, and business entities.

A practical guide to mastering Classification algorithms for Machine learning KEY FEATURES ● Get familiar with all the state-of-the-art classification algorithms for machine learning. ● Understand the mathematical foundations behind building machine learning models. ● Learn how to apply machine learning models to solve real-world industry problems. DESCRIPTION Classification algorithms are essential in machine learning as they allow us to make predictions about the class or category of an input by considering its features. These algorithms have a significant impact on multiple applications like spam filtering, sentiment analysis, image recognition, and fraud detection. If you want to expand your knowledge about classification algorithms, this book is the ideal resource for you. The book starts with an introduction to problem-solving in machine learning and subsequently focuses on classification problems. It then explores the Naïve Bayes algorithm, a probabilistic method widely used in industrial applications. The application of Bayes Theorem and underlying assumptions in developing the Naïve Bayes algorithm for classification is also covered. Moving forward, the book centers its attention on the Logistic Regression algorithm, exploring the sigmoid function and its significance in binary classification. The book also covers Decision Trees and discusses the Gini Factor, Entropy, and their use in splitting trees and generating decision leaves. The Random Forest algorithm is also thoroughly explained as a cutting-edge method for classification (and regression). The book concludes by exploring practical applications such as Spam Detection, Customer Segmentation, Disease Classification, Malware Detection in JPEG and ELF Files, Emotion Analysis from Speech, and Image Classification. By the end of the book, you will become proficient in utilizing classification algorithms for solving complex machine learning problems. WHAT YOU WILL LEARN ● Learn how to apply Naïve Bayes algorithm to solve real-world classification problems. ● Explore the concept of K-Nearest Neighbor algorithm for classification tasks. ● Dive into the Logistic Regression algorithm for classification. ● Explore techniques like Bagging and Random Forest to overcome the weaknesses of Decision Trees. ● Learn how to combine multiple models to improve classification accuracy and robustness. WHO THIS BOOK IS FOR This book is for Machine Learning Engineers, Data Scientists, Data Science Enthusiasts, Researchers, Computer Programmers, and Students who are interested in exploring a wide range of algorithms utilized for classification tasks in machine learning. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Naïve Bayes Algorithm 3. K-Nearest Neighbor Algorithm 4. Logistic Regression 5. Decision Tree Algorithm 6. Ensemble Models 7. Random Forest Algorithm 8. Boosting Algorithm Annexure 1: Jupyter Notebook Annexure 2: Python Annexure 3: Singular Value Decomposition Annexure 4: Preprocessing Textual Data Annexure 5: Stemming and Lamentation Annexure 6: Vectorizers Annexure 7: Encoders Annexure 8: Entropy

Online user privacy is a delicate issue that has been unfortunately overlooked by technology corporations and especially the public since the birth of the internet. Many online businesses and services such as web search engines, retailers, and social network sites exploit user data for profit. There is a misconception among people about the term “privacy.” Usually, people think that privacy is the ability of an individual to isolate themselves or that it is a person’s right to control access to their personal information. However, privacy is not just about revealing secret information; it also includes exploiting user personal data, as the exploitation of personal data may lead to disastrous consequences. Protecting User Privacy in Web Search Utilization presents both multidisciplinary and interdisciplinary works on questions related to experiences and phenomena that can or could be covered by concepts regarding the protection and privacy of web service users. It further highlights the importance of web search privacy to the readers and educates them about recent developments in the field. Covering topics such as AI-based intrusion detection, desktop search engines, and privacy risks, this premier reference source is an essential resource for students and educators of higher education, data experts, privacy professionals and engineers, IT managers, software developers, government officials, archivists and librarians, privacy rights activists, researchers, and academicians.

Plan and design robust security architectures to secure your organization's technology landscape and the applications you develop Key Features Leverage practical use cases to successfully architect complex security structures Learn risk assessment methodologies for the cloud, networks, and connected devices Understand cybersecurity architecture to implement effective solutions in medium-to-large enterprises Book DescriptionCybersecurity architects work with others to develop a comprehensive understanding of the business' requirements. They work with stakeholders to plan designs that are implementable, goal-based, and in keeping with the governance strategy of the organization. With this book, you'll explore the fundamentals of cybersecurity architecture: addressing and mitigating risks, designing secure solutions, and communicating with others about security designs. The book outlines strategies that will help you work with execution teams to make your vision a concrete reality, along with covering ways to keep designs relevant over time through ongoing monitoring, maintenance, and continuous improvement. As you progress, you'll also learn about recognized frameworks for building robust designs as well as strategies that you can adopt to create your own designs. By the end of this book, you will have the skills you need to be able to architect solutions with robust security components for your organization, whether they are infrastructure solutions, application solutions, or others.What you will learn Explore ways to create your own architectures and analyze those from others Understand strategies for creating architectures for environments and applications Discover approaches to documentation using repeatable approaches and tools Delve into communication techniques for designs, goals, and requirements Focus on implementation strategies for designs that help reduce risk Become well-versed with methods to apply architectural discipline to your organization Who this book is for If you are involved in the process of implementing, planning, operating, or maintaining cybersecurity in an organization, then this security book is for you. This includes security practitioners, technology governance practitioners, systems auditors, and software developers invested in keeping their organizations secure. If you’re new to cybersecurity architecture, the book takes you through the process step by step; for those who already work in the field and have some experience, the book presents strategies and techniques that will help them develop their skills further.

The Practical, Comprehensive Guide to Applying Cybersecurity Best Practices and Standards in Real Environments In Effective Cybersecurity, William Stallings introduces the technology, operational procedures, and management practices needed for successful cybersecurity. Stallings makes extensive use of standards and best practices documents that are often used to guide or mandate cybersecurity implementation. Going beyond these, he offers in-depth tutorials on the “how” of implementation, integrated into a unified framework and realistic plan of action. Each chapter contains a clear technical overview, as well as a detailed discussion of action items and appropriate policies. Stallings offers many pedagogical features designed to help readers master the material: clear learning objectives, keyword lists, review questions, and QR codes linking to relevant standards documents and web resources. Effective Cybersecurity aligns with the comprehensive Information Security Forum document “The Standard of Good Practice for Information Security,” extending ISF’s work with extensive insights from ISO, NIST, COBIT, other official standards and guidelines, and modern professional, academic, and industry literature. • Understand the cybersecurity discipline and the role of standards and best practices • Define security governance, assess risks, and manage strategy and tactics • Safeguard information and privacy, and ensure GDPR compliance • Harden systems across the system development life cycle (SDLC) • Protect servers, virtualized systems, and storage • Secure networks and electronic communications, from email to VoIP • Apply the most appropriate methods for user authentication • Mitigate security risks in supply chains and cloud environments This knowledge is indispensable to every cybersecurity professional. Stallings presents it systematically and coherently, making it practical and actionable.