Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network - Image 1

£71.00

LAP Lambert Academic Publishing Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network

Name: Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network
Brand: LAP Lambert Academic Publishing
Price: 71.0 GBP
Availability: InStock

Brands & Corporate Identity

Price data last checked 29 day(s) ago - will refresh soon

View at Amazon

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

It has never been this cheap. We have no record of a lower price.

£71 today · cheaper than every other day in the last 3 months

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 62 days · 62 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 62 days • 1 price levels

Days at Price

Price Analysis

Most common price: £71 (62 days, 100.0%)

Price range: £71 - £71

Price levels: 1 different prices over 62 days

Description

The Internet of things (IoT) has gained more attention in recent years because of its ubiquitous operations, connectivity, methods of communication, and intelligent decisions to evoke activities from various devices. Therefore, artificial intelligence techniques have been integrated into all aspects of the Internet of Things and making life more comfortable in various ways. A novel deep learning model named Device-based Intrusion Detection System (DIDS) was proposed in the second phase. This DIDS learning model incorporates the prediction of unknown attacks to handle the computational overhead in large networks and increase the throughput with a low false alarm rate. Our proposed algorithm has been evaluated with standard algorithms, and the results show that it detects attacks earlier than standard algorithms. The computational time has also been reduced, and 99% of accuracy has been achieved in detecting the attacks.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6205527960
Category: Books > Subjects > Business, Finance & Law > Sales & Marketing > Brands & Corporate Identity
Domain: Amazon UK
Release Date: 21 December 2022
Listed Since: 15 January 2023

Barcode

No barcode data available

LAP Lambert Academic Publishing Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Advanced Techniques on Internet of Things

Internet of Things: A Practical approach

MACHINE LEARNING WITH APPLICATIONS

INTRODUCTION TO CYBERSECURITY

Classification Of Brain Tumor Using Deep Learning: Depth analysis of brain tumors along with deep learning

COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS

Advancements in Cyber Security

Computational Intelligence for Confidintial Authentication Systems

Artificial Intelligence for Security Culture Transformation: Moving Beyond Compliance to Continuous Adaptation

Design and Development of Context Aware Secure Routing Arch in IoT

Digital Fundamental and Application

Greedy Behavior in Wireless Network Hotspots: Enhancing MAC Layer Misbehavior Detection System in Wi-Fi Networks

Towards Optimally Diverse Randomized Ensembles of Neural Networks

Digital Image Watermarking: Novel Algorithms

Intelligent Side Information Generation in Distributed Video Coding

Cybercrime and Cybersecurity Governance

Lighting Load Profile Prediction Using ANFIS and Neural Network: Lighting Profile Development

Resource Allocation in Wireless Networks: Cellular and Sensor Networks

AI-Driven Software Engineering: Harnessing Machine Learning for Smarter Development and Automation

Intelligent Predictive Maintenance Frameworks for Fault Classification: Hybridising Machine Learning Techniques

Evaluation of Diff. VPN Tunneling Techniques in Virtualized Datacenter

Exploring software security approaches and their limitations in SDLC

AI and Student Learning in Emerging Higher Education Systems

RM and RA for AAL Information Systems based on IoT paradigms