Overview

This book constitutes the refereed proceedings of the 17th Nordic Conference on Secure IT Systems, NordSec 2012, held in Karlskrona, Sweden, in October 2012. The 16 revised papers were carefully reviewed and selected from 32 submissions. The papers are organized in topical sections on application security, security management, system security, network security, and trust management.

Full Product Details

Author:   Audun Jøsang ,  Bengt Carlsson
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012 ed.
Volume:   7617
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642342097

ISBN 10:   3642342094
Pages:   247
Publication Date:   13 September 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Designed to Fail: A USB-Connected Reader for Online Banking.- Security Add-Ons for Mobile Platforms.- THAPS: Automated Vulnerability Scanning of PHP Applications.- Cyber security exercises and competitions as a platform for cyber security experiments.- The Development of Cyber Security Warning, Advice & Report Points.- Towards an Empirical Examination of IT Security Infrastructures in SME.- How to Select a Security Requirements Method? A comparative study with students and practitioners.- There is Safety in Numbers: Preventing Control-Flow Hijacking by Duplication.- Coinductive Unwinding of Security-Relevant.- Retooling and Securing Systemic Debugging.- Cracking Associative Passwords.- A Hybrid Approach for Highly Available & Secure Storage of Pseudo-SSO Credentials.- Assessing the Quality of Packet-Level Traces Collected on Internet Backbone Links.- Everything but the Kitchen Sink: Determining the effect of multiple attacks on privacy preserving technology users.- Can We Identify Manipulative Behavior and the Corresponding Suspects on Review Websites using Supervised Learning?.- Privacy-Friendly Cloud Storage for the Data Track.

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