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A Navy SEAL dropout will break every rule to expose the truth -- even if it means destroying the people he loves. Mitchum is back. His brother's been charged with murder. Nathaniel swears he didn't kill anyone, but word on the street is that he was involved with the victim's wife. Now, Mitchum will do anything to get even . . . no matter what the cost. BookShots Lightning-fast stories by James Patterson Novels you can devour in a few hours Impossible to stop reading All original content from James Patterson
bull; Real-world tools needed to prevent, detect, and handle malicious code attacks. bull; Computer infection from viruses, worms, Trojan Horses etc., collectively known as malware is a growing cost problem for businesses. bull; Discover how attackers install malware and how you can peer through their schemes to keep systems safe. bull; Bonus malware code analysis laboratory.
Viruses today are more prevalent than ever and the need to protect the network or company against attacks is imperative. Grimes gives strategies, tips and tricks needed to secure any system. He explains what viruses can and can't do, and how to recognize, remove and prevent them.
Hackers have uncovered the dark side of cryptography—that device developed to defeat Trojan horses, viruses, password theft, and other cyber-crime. It’s called cryptovirology, the art of turning the very methods designed to protect your data into a means of subverting it. In this fascinating, disturbing volume, the experts who first identified cryptovirology show you exactly what you’re up against and how to fight back. They will take you inside the brilliant and devious mind of a hacker—as much an addict as the vacant-eyed denizen of the crackhouse—so you can feel the rush and recognize your opponent’s power. Then, they will arm you for the counterattack. This book reads like a futuristic fantasy, but be assured, the threat is ominously real. Vigilance is essential, now. Understand the mechanics of computationally secure information stealing Learn how non-zero sum Game Theory is used to develop survivable malware Discover how hackers use public key cryptography to mount extortion attacks Recognize and combat the danger of kleptographic attacks on smart-card devices Build a strong arsenal against a cryptovirology attack
Malicious mobile code is a new term to describe all sorts of destructive programs: viruses, worms, Trojans, and rogue Internet content. Until fairly recently, experts worried mostly about computer viruses that spread only through executable files, not data files, and certainly not through email exchange. The Melissa virus and the Love Bug proved the experts wrong, attacking Windows computers when recipients did nothing more than open an email. Today, writing programs is easier than ever, and so is writing malicious code. The idea that someone could write malicious code and spread it to 60 million computers in a matter of hours is no longer a fantasy. The good news is that there are effective ways to thwart Windows malicious code attacks, and author Roger Grimes maps them out inMalicious Mobile Code: Virus Protection for Windows. His opening chapter on the history of malicious code and the multi-million dollar anti-virus industry sets the stage for a comprehensive rundown on today's viruses and the nuts and bolts of protecting a system from them. He ranges through the best ways to configure Windows for maximum protection, what a DOS virus can and can't do, what today's biggest threats are, and other important and frequently surprising information. For example, how many people know that joining a chat discussion can turn one's entire computer system into an open book? Malicious Mobile Code delivers the strategies, tips, and tricks to secure a system against attack. It covers: The current state of the malicious code writing and cracker community How malicious code works, what types there are, and what it can and cannot do Common anti-virus defenses, including anti-virus software How malicious code affects the various Windows operating systems, and how to recognize, remove, and prevent it Macro viruses affecting MS Word, MS Excel, and VBScript Java applets and ActiveX controls Enterprise-wide malicious code protection Hoaxes The future of malicious mobile code and how to combat such code These days, when it comes to protecting both home computers and company networks against malicious code, the stakes are higher than ever.Malicious Mobile Code is the essential guide for securing a system from catastrophic loss.
A groundbreaking exploration of how to identify and fight security threats at every level This revolutionary book combines real-world security scenarios with actual tools to predict and prevent incidents of terrorism, network hacking, individual criminal behavior, and more. Written by an expert with intelligence officer experience who invented the technology, it explores the keys to understanding the dark side of human nature, various types of security threats (current and potential), and how to construct a methodology to predict and combat malicious behavior. The companion CD demonstrates available detection and prediction systems and presents a walkthrough on how to conduct a predictive analysis that highlights proactive security measures. Guides you through the process of predicting malicious behavior, using real world examples and how malicious behavior may be prevented in the future Illustrates ways to understand malicious intent, dissect behavior, and apply the available tools and methods for enhancing security Covers the methodology for predicting malicious behavior, how to apply a predictive methodology, and tools for predicting the likelihood of domestic and global threats CD includes a series of walkthroughs demonstrating how to obtain a predictive analysis and how to use various available tools, including Automated Behavior Analysis Predicting Malicious Behavior fuses the behavioral and computer sciences to enlighten anyone concerned with security and to aid professionals in keeping our world safer.
This book covers and makes four major contributions: 1) analyzing and surveying the pros and cons of current approaches for identifying rumor sources on complex networks; 2) proposing a novel approach to identify rumor sources in time-varying networks; 3) developing a fast approach to identify multiple rumor sources; 4) proposing a community-based method to overcome the scalability issue in this research area. These contributions enable rumor source identification to be applied effectively in real-world networks, and eventually diminish rumor damages, which the authors rigorously illustrate in this book. In the modern world, the ubiquity of networks has made us vulnerable to various risks. For instance, viruses propagate throughout the Internet and infect millions of computers. Misinformation spreads incredibly fast in online social networks, such as Facebook and Twitter. Infectious diseases, such as SARS, H1N1 or Ebola, have spread geographically and killed hundreds of thousands people. In essence, all of these situations can be modeled as a rumor spreading through a network, where the goal is to find the source of the rumor so as to control and prevent network risks. So far, extensive work has been done to develop new approaches to effectively identify rumor sources. However, current approaches still suffer from critical weaknesses. The most serious one is the complex spatiotemporal diffusion process of rumors in time-varying networks, which is the bottleneck of current approaches. The second problem lies in the expensively computational complexity of identifying multiple rumor sources. The third important issue is the huge scale of the underlying networks, which makes it difficult to develop efficient strategies to quickly and accurately identify rumor sources. These weaknesses prevent rumor source identification from being applied in a broader range of real-world applications. This book aims to analyze and address these issues to make rumor source identification more effective and applicable in the real world. The authors propose a novel reverse dissemination strategy to narrow down the scale of suspicious sources, which dramatically promotes the efficiency of their method. The authors then develop a Maximum-likelihood estimator, which can pin point the true source from the suspects with high accuracy. For the scalability issue in rumor source identification, the authors explore sensor techniques and develop a community structure based method. Then the authors take the advantage of the linear correlation between rumor spreading time and infection distance, and develop a fast method to locate the rumor diffusion source. Theoretical analysis proves the efficiency of the proposed method, and the experiment results verify the significant advantages of the proposed method in large-scale networks. This book targets graduate and post-graduate students studying computer science and networking. Researchers and professionals working in network security, propagation models and other related topics, will also be interested in this book.
This handbook focuses on new threats to psychological security that are posed by the malicious use of AI and how it can be used to counteract such threats. Studies on the malicious use of AI through deepfakes, agenda setting, sentiment analysis and affective computing and so forth, provide a visual representation of the various forms and methods of malicious influence on the human psyche, and through this on the political, economic, cultural processes, the activities of state and non-state institutions. Separate chapters examine the malicious use of AI in geopolitical confrontation, political campaigns, strategic deception, damage to corporate reputation, and activities of extremist and terrorist organizations. This is a unique volume that brings together a multidisciplinary range of established scholars and upcoming new researchers from 11 countries. This handbook is an invaluable resource for students, researchers, and professionals interested in this new and developing field of social practice and knowledge.
Cutting-edge models for proactive cybersecurity, applying AI, learning, and network analysis to information mined from hacker communities.
This book provides information on malware - its growth, evolution, and countermeasures to combat it - presenting new research into the economic incentives driving cyber-security decisions, and suggestions on how to address the problem.