Behavioral Pattern Prediction For Stream Based Data


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Behavioral Pattern Prediction for Stream-based Data


Behavioral Pattern Prediction for Stream-based Data

Author: Sheikh Muhammad Qumruzzaman

language: en

Publisher:

Release Date: 2013


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Behavioral pattern prediction has many applications, ranging from consumer buying behavior analysis, web surfing prediction to network attack prediction. The traditional behavioral pattern prediction technique works mainly on a fixed dataset. But recent advances in digital technology generates a huge amount of data which contributes to data stream. Data evolves over time due to the concept drift. Stream-based classification also needs to evolve over time. Our goal is not to predict a single action/behavior, but a sequence of actions that can occur later depending on the previous actions. We call this problem "Behavioral Pattern Extrapolation". In our research, we exploited a stream mining based technique along with markovian model, where we used an incremental and ensemble based technique for predicting a set of future actions. We have experimented using a number of benchmark datasets and shown the effectiveness of our approach.

Predicting Malicious Behavior


Predicting Malicious Behavior

Author: Gary M. Jackson

language: en

Publisher: John Wiley & Sons

Release Date: 2012-05-25


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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.

Nutrient Criteria Technical Guidance Manual


Nutrient Criteria Technical Guidance Manual

Author:

language: en

Publisher:

Release Date: 2000


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