Predicting Malicious Behavior

Predicting Malicious Behavior PDF Author: Gary M. Jackson
Publisher: John Wiley & Sons
ISBN: 1118239563
Category : Computers
Languages : en
Pages : 554

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Book Description
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.

Predicting Malicious Behavior

Predicting Malicious Behavior PDF Author: Gary M. Jackson
Publisher: John Wiley & Sons
ISBN: 1118239563
Category : Computers
Languages : en
Pages : 554

Get Book Here

Book Description
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.

Predictive Analytics

Predictive Analytics PDF Author: Eric Siegel
Publisher: John Wiley & Sons
ISBN: 1119153654
Category : Business & Economics
Languages : en
Pages : 368

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Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a

Predicting and Changing Behavior

Predicting and Changing Behavior PDF Author: Martin Fishbein
Publisher: Taylor & Francis
ISBN: 1136874739
Category : Psychology
Languages : en
Pages : 527

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Book Description
This book describes the reasoned action approach, an integrative framework for the prediction and change of human social behavior. It provides an up-to-date review of relevant research, discusses critical issues related to the reasoned action framework, and provides methodological and conceptual tools for the prediction and explanation of social behavior and for designing behavior change interventions.

The Predictive Mind

The Predictive Mind PDF Author: Jakob Hohwy
Publisher: OUP Oxford
ISBN: 0191022616
Category : Philosophy
Languages : en
Pages : 296

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Book Description
A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy. The key argument throughout The Predictive Mind is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception. It also gives a unified account of how perception is sculpted by attention, and how it depends on action. The mind is revealed as having a fragile and indirect relation to the world. Though we are deeply in tune with the world we are also strangely distanced from it. The first part of the book sets out how the theory enables rich, layered perception. The theory's probabilistic and statistical foundations are explained using examples from empirical research and analogies to different forms of inference. The second part uses the simple mechanism in an explanation of problematic cases of how we manage to represent, and sometimes misrepresent, the world in health as well as in mental illness. The third part looks into the mind, and shows how the theory accounts for attention, conscious unity, introspection, self and the privacy of our mental world.

Sizing People Up

Sizing People Up PDF Author: Robin Dreeke
Publisher: Penguin
ISBN: 0525540431
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
A former FBI agent shares his simple but powerful toolkit for assessing who you can trust--and who you can't. After two decades as a behavior analyst in the FBI, Robin Dreeke knows a thing or two about sizing people up. He's navigated complex situations that range from handling Russian spies to navigating the internal politics at the Bureau. Through that experience, he was forced to develop a knack for reading people--their intentions, their capabilities, their desires and their fears. Dreeke's first book, It's Not All About "Me," has become a cult favorite with readers seeking to build quick rapport with others. His last book, The Code of Trust, was about how to inspire trust in others as a leader. In Sizing People Up, Dreeke shares his simple, six-step system that helps you predict anyone's future behavior based on their words, goals, patterns of action, and the situation at hand. Predicting the behavior of others is an urgent need for anyone whose work involves relationships with others, whether it's leading an organization, collaborating with a teammate, or closing a sale. But predictability is not as simple as good and evil, or truth and fiction. Allies might make a promise with every intention of keeping it, not realizing that they will be unable to do so due to some personal shortcoming. And those seeking to thwart your endeavor may not realize how reliable their malevolent tells have become. Dreeke's system is simple, but powerful. For instance, a colleague might have a strong moral code, but do they believe your relationship will be long-term? Even the most upstanding person can betray your trust if they don't see themselves tied to you or your desired result in the long term. How can you determine whether someone has both the skill and will to do what they've said they're going to do? Behaviors as subtle as how they take notes will reveal their reliability. Using this book as their manual, readers will be able to quickly and easily determine who they can trust and who they can't; who is likely to deliver on promises and who will disappoint; and when a person is vested in your success vs when they are actively plotting your demise. With this knowledge they can confidently embark on anything from a business venture to a romantic relationship to a covert operation without the stress of the unknown.

Purposive Behaviour and Teleological Explanations

Purposive Behaviour and Teleological Explanations PDF Author: Frank Honywill George
Publisher: CRC Press
ISBN: 9782881241109
Category : Computers
Languages : en
Pages : 336

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Book Description


Handbook of Implicit Social Cognition

Handbook of Implicit Social Cognition PDF Author: Bertram Gawronski
Publisher: Guilford Press
ISBN: 1606236741
Category : Psychology
Languages : en
Pages : 609

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Book Description
Virtually every question in social psychology is currently being shaped by the concepts and methods of implicit social cognition. This tightly edited volume provides the first comprehensive overview of the field. Foremost authorities synthesize the latest findings on how automatic, implicit, and unconscious cognitive processes influence social judgments and behavior. Cutting-edge theories and data are presented in such crucial areas as attitudes, prejudice and stereotyping, self-esteem, self-concepts, close relationships, and morality. Describing state-of-the-art measurement procedures and research designs, the book discusses promising applications in clinical, forensic, and other real-world contexts. Each chapter both sums up what is known and identifies key directions for future research.

Prediction and Change of Health Behavior

Prediction and Change of Health Behavior PDF Author: Icek Ajzen
Publisher: Psychology Press
ISBN: 1135593051
Category : Medical
Languages : en
Pages : 306

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Book Description
This book is based on a symposium held in honor of Martin Fishbein’s 70th birthday in March 2006 at the Annenberg School for Communication, University of Pennsylvania. The book’s chapters are organized around two broad themes that reflect Marty’s major research interests: Attitudes and Behavior and Health Promotion. Marty first started to work on a theory of attitudes while pursuing his dissertation research at UCLA.

Social Computing, Behavioral Modeling, and Prediction

Social Computing, Behavioral Modeling, and Prediction PDF Author: Huan Liu
Publisher: Springer Science & Business Media
ISBN: 0387776729
Category : Computers
Languages : en
Pages : 279

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Book Description
Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making.

The Type B Manager

The Type B Manager PDF Author: Victor Lipman
Publisher: Penguin
ISBN: 0698402588
Category : Business & Economics
Languages : en
Pages : 226

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Book Description
In The Type B Manager, Victor Lipman offers a unique lens through which to view the challenging problems of management. While management has long been considered the realm of Type A individuals—hard-driving, competitive high achievers—all too often these high-intensity traits aren’t effective when it comes to motivating your employees. Many characteristics of Type B individuals—being more relaxed, less competitive, more reflective, slower to anger—can be considered “people skills” that better influence motivation and productivity. And successful management after all is the practice of accomplishing work through other people. In a business landscape where 70 percent of employees are disengaged and not working at full productive capacity, Lipman focuses on practical tactical aspects of management viewed through a Type B lens, including: · Motivating and developing employees · Handling conflict, and · Engendering trust and respect He examines specific skills, behaviors, and situations where a Type B mindset is advantageous and suggests ways that self-described Type A managers can boost their effectiveness by adopting Type B approaches—and vice versa.