Malicious

About the book: Web applications are the essential component of human life. People carry our various operations including e-commerce and online banking. The web security is a major issues in the current scenario. So it essential to detect the malicious URLs of the phishing website. It is light weight approach and prevents the user from those websites. This survey analyzes various malicious url detection method and provide a road map for new research in this area. This research work given an insite about malicious URL detection. About the author: Dr.N.Jayakanthan is an innovative teaching professional who strongly believes in being a catalyst in the learning process. He has 20 years of teaching, 10 Years of research and 3 years of Industrial experience. He holds a doctoral degree in Computer Applications from Bharathiar University, Coimbatore. He has strong knowledge of subject areas in Computer Science combined with a broad subject background, Well versed in teaching subjects like Data Structures, Algorithms, Unix/Link, Software Testing, Networking, Python, C , C++, XML , C# .Net, Java.

Originally designed as neutral entities, computerized bots are increasingly being used maliciously by online criminals in mass spamming events, fraud, extortion, identity theft, and software theft. Malicious Bots: An Inside Look into the Cyber-Criminal Underground of the Internet explores the rise of dangerous bots and exposes the nefarious methods of "botmasters". This valuable resource assists information security managers in understanding the scope, sophistication, and criminal uses of bots. With sufficient technical detail to empower IT professionals, this volume provides in-depth coverage of the top bot attacks against financial and government networks over the last several years. The book presents exclusive details of the operation of the notorious Thr34t Krew, one of the most malicious bot herder groups in recent history. Largely unidentified by anti-virus companies, their bots spread globally for months, launching massive distributed denial of service (DDoS) attacks and warez (stolen software distributions). For the first time, this story is publicly revealed, showing how the botherders got arrested, along with details on other bots in the world today. Unique descriptions of the criminal marketplace - how criminals make money off of your computer - are also a focus of this exclusive book! With unprecedented detail, the book goes on to explain step-by-step how a hacker launches a botnet attack, providing specifics that only those entrenched in the cyber-crime investigation world could possibly offer. Authors Ken Dunham and Jim Melnick serve on the front line of critical cyber-attacks and countermeasures as experts in the deployment of geopolitical and technical bots. Their work involves advising upper-level government officials and executives who control some of the largest networks in the world. By examining the methods of Internet predators, information security managers will be better able to proactively protect their own networks from such attacks.

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.

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.

James Patterson’s BookShots. Short, fast-paced, high-impact entertainment. Did my brother kill your husband? 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, Navy SEAL dropout Mitchum will break every rule to expose the truth – even if it destroys the people he loves.

In Malicious Deceivers, Ioana B. Jucan traces a genealogy of post-truth intimately tied to globalizing modernity and connects the production of repeatable fakeness with capitalism and Cartesian metaphysics. Through case studies that cross times and geographies, the book unpacks the notion of fakeness through the related logics of dissimulation (deception) and simulation (performativity) as seen with software/AI, television, plastics, and the internet. Specifically, Jucan shows how these (dis)simulation machines and performative objects construct impoverished pictures of the world, ensuring a repeatable sameness through processes of hollowing out embodied histories and lived experience. Through both its methodology and its subjects-objects of study, the book further seeks ways to counter the abstracting mode of thinking and the processes of voiding performed by the twinning of Cartesian metaphysics and global capitalism. Enacting a model of creative scholarship rooted in the tradition of writing as performance, Jucan, a multimedia performance-maker and theater director, uses the embodied "I" as a framing and situating device for the book and its sites of investigation. In this way, she aims to counter the Cartesian voiding of the thinking "I" and to enact a different kind of relationship between self and world from the one posited by Descartes and replayed in much Western philosophical and — more broadly — academic writing: a relationship of separation that situates the "I" on a pedestal of abstraction that voids it of its embodied histories and fails to account for its positionality within a socio-historical context and the operations of power that define it.

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.

Attacks take place everyday with computers connected to the internet, because of worms, viruses or due to vulnerable software. These attacks result in a loss of millions of dollars to businesses across the world. Identifying Malicious Code through Reverse Engineering provides information on reverse engineering and concepts that can be used to identify the malicious patterns in vulnerable software. The malicious patterns are used to develop signatures to prevent vulnerability and block worms or viruses. This book also includes the latest exploits through various case studies. Identifying Malicious Code through Reverse Engineering is designed for professionals composed of practitioners and researchers writing signatures to prevent virus and software vulnerabilities. This book is also suitable for advanced-level students in computer science and engineering studying information security, as a secondary textbook or reference.