Computational Intelligence for Security in Named Data Networking - Image 1

£56.00

LAP Lambert Academic Publishing Computational Intelligence for Security in Named Data Networking

Name: Computational Intelligence for Security in Named Data Networking
Brand: LAP Lambert Academic Publishing
Price: 56.0 GBP
Availability: InStock

Network Topics

Price data last checked 21 day(s) ago - will refresh soon

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the most expensive it has ever been. Walk away.

£56 today · previous high £56 · all-time low £49

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 70 days · 70 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 70 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £49 (49 days, 70.0%)

Price range: £49 - £56

Price levels: 2 different prices over 70 days

Description

Named Data Networking (NDN) has recently been considered as a promising paradigm for the next-generation Internet. One of the main design requirements for the NDN architectures -since the beginning of their design- has been strong security. To make NDN a fully working system at Internet scale, there are still many missing pieces to be filled in. In this book, we study the most important security problems in NDN in order to defense against new forms of attacks, ensure privacy, achieve high availability, and block malicious network traffics belonging to attackers or at least limit their effectiveness. In order to protect NDN infrastructure, we need flexible, adaptable and robust defense systems which can make intelligent and real-time decisions to enable network entities to behave in an adaptive and intelligent manner. In this context, the characteristics of Computational Intelligence (CI) methods make them suitable to be applied to the problem of NDN security, which can highlight promising new research directions. Hence, we suggest new hybrid CI-based methods to make NDN a more reliable and viable architecture for the future Internet.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3659373575
Category: Books > Subjects > Computing & Internet > Networking & Security > Network Topics
Domain: Amazon UK
Release Date: 16 March 2015
Listed Since: 10 April 2015

Barcode

No barcode data available

LAP Lambert Academic Publishing Computational Intelligence for Security in Named Data Networking

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Network Security and Information Security

Accountability and Privacy in Network Security

AI and Machine Learning for Network and Security Management (IEEE Press Series on Network and Service Management)

Enabling Seamless Handoff for Next Generation Networks: Designing an Advanced Access Control System with Privacy Support

DISTRIBUTED DATA MINING AND MINING MULTI-AGENT DATA: Basics, Concepts, Methods

Enhanced Intrusion Detection System Using Machine Learning Techniques

Security Issues in VANET

Optimizing Data Transmission in IoT Networks Using Advanced Techniques: An Intelligent Algorithm for Multicast Routing in the Internet of Things

Data Communication and Networks: Protocols, Error Control,Network Architecture

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis (Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series)

Effective Network Complexity: Managing and measuring complexity in networks

System analysis and modeling in cybersecurity: Collection of scientific articles

Next Generation Wireless Networks: Network Selection Paradigm

Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network

Let Us Practice Data Security Essential Against APTs With Code: Security Solutions & Practical

Software-Defined Networking for Future Internet Technology: Concepts and Applications

Cybersecurity and Distributed Systems: Exploring the future of secure decentralized networks

Utilizing Generative AI for Cyber Defense Strategies (Advances in Digital Crime, Forensics, and Cyber Terrorism)

Network Security

Privacy-Preserving in Edge Computing (Wireless Networks)

Advanced Cyber Security Techniques for Data, Blockchain, IoT, and Network Protection

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

Design and Development of Context Aware Secure Routing Arch in IoT

Robust AI: Security and Privacy Issues in Machine Learning: Pre-adoption Scrutiny of Security and Privacy Guarantees of AI Algorithms (Computer Architecture and Design Methodologies)