Data Science for Cyber-Security

图书简介

Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns. The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality. This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies. Key Feature: ○A collection of papers introducing novel methodology for cyber-data analysis

Unified Host and Network Data Set (M J M Turcotte, A D Kent and C Hash); Computational Statistics and Mathematics for Cyber-Security (D J Marchette); Bayesian Activity Modelling for Network Flow Data (H Clausen, M Briers, and N M Adams); Towards Generalizable Network Threat Detection (B Anderson, M Vejman and D McGrew); Feature Trade-off Analysis for Reconnaissance Detection (H K Kalutarage and S A Shaikh); Anomaly Detection on User-Agent Strings (E Spyropoulou, J Noble and C Anagnostopoulos); Discovery of the Twitter Bursty Botnet (J Echeverria, C Besel, and S Zhou); Stochastic Blockmodels to Detect Botnets in Networked Data (M P Roeling and G Nicholls); Classiffication of Red Team Authentication Events in an Enterprise Network (J M Conroy); Weakly Supervised Learning: Label Engineering (C Anagnostopoulos); Large-scale Analog Measurements and Analysis for Cyber Security (G Cybenko and G M Raz); Fraud Detection by Stacking Cost-Sensitive Decision Trees (A Correa Bahnsen, S Villegas, D Aouada and B Ottersten); Data-Driven Decision Making for Cybersecurity (M Fisk);

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Data Science for Cyber-Security（Security Science And Technology） 网络安全的科学数据 计算机系统结构

Data Science for Cyber-Security（Security Science And Technology）

网络安全的科学数据
计算机系统结构