Alessandro Parisi – författare

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assetsKey FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook DescriptionToday's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is forIf you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

Build secure private blockchain networks to handle mission-critical security challenges such as denial-of-service attacks, user wallets, and pool mining attacksKey FeaturesExplore blockchain concepts such as cryptography, consensus algorithms, and security assumptionsArchitect network security for mission-critical decentralized apps (Dapps) using design security considerationsConsider various deployment and operational aspects while building a blockchain networkBook DescriptionBlockchain adoption has extended from niche research to everyday usage. However, despite the blockchain revolution, one of the key challenges faced in blockchain development is maintaining security, and this book will demonstrate the techniques for doing this.You’ll start with blockchain basics and explore various blockchain attacks on user wallets, and denial of service and pool mining attacks. Next, you’ll learn cryptography concepts, consensus algorithms in blockchain security, and design principles while understanding and deploying security implementation guidelines. You’ll not only cover architectural considerations, but also work on system and network security and operational configurations for your Ethereum and Hyperledger Fabric network. You’ll later implement security at each level of blockchain app development, understanding how to secure various phases of a blockchain app using an example-based approach. You’ll gradually learn to securely implement and develop decentralized apps, and follow deployment best practices. Finally, you’ll explore the architectural components of Hyperledger Fabric, and how they can be configured to build secure private blockchain networks.By the end of this book, you’ll have learned blockchain security concepts and techniques that you can implement in real blockchain production environments.What you will learnUnderstand blockchain consensus algorithms and security assumptionsDesign secure distributed applications and smart contractsUnderstand how blockchains manage transactions and help to protect wallets and private keysPrevent potential security threats that can affect distributed ledger technologies (DLTs) and blockchainsUse pentesting tools for assessing potential flaws in Dapps and smart contractsAssess privacy compliance issues and manage sensitive data with blockchainWho this book is forThis book is for blockchain developers, security professionals, and Ethereum and Hyperledger developers who are looking to implement security in blockchain platforms and ensure secure data management using an example-driven approach. Basic knowledge of blockchain concepts will be beneficial.