This book looks at network security in a new and refreshing way. It guides readers step-by-step through the "stack" -- the seven layers of a network. Each chapter focuses on one layer of the stack along with the attacks, vulnerabilities, and exploits that can be found at that layer. The book even includes a chapter on the mythical eighth layer: The people layer. This book is designed to offer readers a deeper understanding of many common vulnerabilities and the ways in which attacker’s exploit, manipulate, misuse, and abuse protocols and applications. The authors guide the readers through this process by using tools such as Ethereal (sniffer) and Snort (IDS). The sniffer is used to help readers understand how the protocols should work and what the various attacks are doing to break them. IDS is used to demonstrate the format of specific signatures and provide the reader with the skills needed to recognize and detect attacks when they occur. What makes this book unique is that it presents the material in a layer by layer approach which offers the readers a way to learn about exploits in a manner similar to which they most likely originally learned networking. This methodology makes this book a useful tool to not only security professionals but also for networking professionals, application programmers, and others. All of the primary protocols such as IP, ICMP, TCP are discussed but each from a security perspective. The authors convey the mindset of the attacker by examining how seemingly small flaws are often the catalyst of potential threats. The book considers the general kinds of things that may be monitored that would have alerted users of an attack. * Remember being a child and wanting to take something apart, like a phone, to see how it worked? This book is for you then as it details how specific hacker tools and techniques accomplish the things they do. * This book will not only give you knowledge of security tools but will provide you the ability to design more robust security solutions * Anyone can tell you what a tool does but this book shows you how the tool works

This text introduces the spirit and theory of hacking as well as the science behind it all; it also provides some core techniques and tricks of hacking so you can think like a hacker, write your own hacks or thwart potential system attacks.

Going beyond the issues of analyzing and optimizing programs as well as creating the means of protecting information, this guide takes on the programming problem of, once having found holes in a program, how to go about disassembling it without its source code. Covered are the hacking methods used to analyze programs using a debugger and disassembler. These methods include virtual functions, local and global variables, branching, loops, objects and their hierarchy, and mathematical operators. Also covered are methods of fighting disassemblers, self-modifying code in operating systems, and executing code in the stack. Advanced disassembler topics such as optimizing compilers and movable code are discussed as well.

In this white-knuckled true story that is “as exciting as any action novel” (The New York Times Book Review), an astronomer-turned-cyber-detective begins a personal quest to expose a hidden network of spies that threatens national security and leads all the way to the KGB. When Cliff Stoll followed the trail of a 75-cent accounting error at his workplace, the Lawrence Berkeley National Laboratory, it led him to the presence of an unauthorized user on the system. Suddenly, Stoll found himself crossing paths with a hacker named “Hunter” who had managed to break into sensitive United States networks and steal vital information. Stoll made the dangerous decision to begin a one-man hunt of his own: spying on the spy. It was a high-stakes game of deception, broken codes, satellites, and missile bases, one that eventually gained the attention of the CIA. What started as simply observing soon became a game of cat and mouse that ultimately reached all the way to the KGB.

Summary The best programming techniques are often the shortest and simplest—the hacks. In this compact and infinitely useful book, Android expert Carlos Sessa delivers 50 hacks that will save you time, stretch your skills, and maybe even make you smile. About this Book Hacks. Clever programming techniques to solve thorny little problems. Ten lines of code that save you two days of work. The little gems you learn from the old guy in the next cube or from the geniuses on Stack Overflow. That's just what you'll find in this compact and useful book. The name 50 Android Hacks says it all. Ranging from the mundane to the spectacular, each self-contained, fully illustrated hack is just a couple of pages long and includes annotated source code. These practical techniques are organized into twelve collections covering layout, animations, patterns, and more. What's Inside Hack 3 Creating a custom ViewGroup Hack 8 Slideshow using the Ken Burns effect Hack 20 The Model-View-Presenter pattern Hack 23 The SyncAdapter pattern Hack 31 Aspect-oriented programming in Android Hack 34 Using Scala inside Android Hack 43 Batching database operations Plus 43 more hacks! Most hacks work with Android 2.x and greater. Version-specific hacks are clearly marked. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Author Carlos Sessa is a passionate professional Android developer. He's active on Stack Overflow and is an avid hack collector. Table of Contents Working your way around layouts Creating cool animations View tips and tricks Tools Patterns Working with lists and adapters Useful libraries Interacting with other languages Ready-to-use snippets Beyond database basics Avoiding fragmentation Building tools

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

This edition offers both new and thoroughly updated hacks for Linux, Windows, OpenBSD, and Mac OS X servers that not only enable readers to secure TCP/IP-based services, but helps them implement a good deal of clever host-based security techniques as well.