The Science of Quantitative Information Flow

Name: The Science of Quantitative Information Flow
Brand: Springer Nature
SKU: 9783319961316
Availability: InStock

Best Price (Coupon Required):
Buy The Science of Quantitative Information Flow for $45.00 at @ Link.springer.com when you apply the 10% OFF coupon at checkout.
Click “Get Coupon & Buy” to copy the code and unlock the deal.

Set a price drop alert to never miss an offer.

1 Offer Price Range: $49.99 - $49.99

BEST PRICE

Single Product Purchase

$45.00

@ Link.springer.com with extra coupon

Price Comparison

Seller	Contact Seller	List Price	On Sale	Shipping	Best Promo	Final Price	Volume Discount	Financing	Availability	Seller's Page
BEST PRICE 1 Product Purchase @ Link.springer.com		$49.99	$49.99		10% OFF This deals requires coupon	$45.00		See Site	In stock	Visit Store

Product Details

Brand

Springer Nature

Manufacturer

N/A

Part Number

GTIN

9783319961316

Condition

New

Product Description

This book presents a comprehensive mathematical theory that explains precisely what information flow is, how it can be assessed quantitatively so bringing precise meaning to the intuition that certain information leaks are small enough to be tolerated and how systems can be constructed that achieve rigorous, quantitative information-flow guarantees in those terms. It addresses the fundamental challenge that functional and practical requirements frequently conflict with the goal of preserving confidentiality, making perfect security unattainable. Topics include: a systematic presentation of how unwanted information flow, i.e., "leaks", can be quantified in operationally significant ways and then bounded, both with respect to estimated benefit for an attacking adversary and by comparisons between alternative implementations; a detailed study of capacity, refinement, and Dalenius leakage, supporting robust leakage assessments; a unification of information-theoretic channels and information-leaking sequential programs within the same framework; and a collection of case studies, showing how the theory can be applied to interesting realistic scenarios. The text is unified, self-contained and comprehensive, accessible to students and researchers with some knowledge of discrete probability and undergraduate mathematics, and contains exercises to facilitate its use as a course textbook.

Available Colors

N/A

Available Sizes

N/A