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Ensuring trust in IoT-driven systems for universal digital security
Rajesh Kumar
, Bhupinder Singh
, Roop Lal
Chandigarh University
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
Overview
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Keyphrases
Internet of Things
100%
Drive System
100%
Digital Security
100%
Global Connectivity
50%
Unauthorized Access
50%
Resilient
25%
Vulnerability
25%
Personal Safety
25%
User Trust
25%
Recognition Method
25%
Rapid Expansion
25%
Challenging Conditions
25%
Efficiency Improvement
25%
Encryption Authentication
25%
Detection Accuracy
25%
Internet of Things Applications
25%
Cyber-attacks
25%
Multi-sector
25%
Development Goals
25%
Internet of Things System
25%
Safe Zone
25%
Encryption Data
25%
Internet of Things Networks
25%
AdaBoost Classifier
25%
Security Gap
25%
Security Strategy
25%
Internet of Things Security
25%
Seamless Interaction
25%
Cyber Threats
25%
Internet of Things Ecosystems
25%
Facial Recognition
25%
Continued Functions
25%
Facial Recognition Technology
25%
Emergency Safety
25%
Local Binary Pattern Histogram
25%
Haar Classifier
25%
Emergency Notification
25%
Zone Mapping
25%
Voice Command
25%
Data Integrity Verification
25%
Real-time Location Tracking
25%
Offline Operation
25%
Major Challenges
25%
Support Vector Classifier
25%
Improved Accessibility
25%
Comprehensive Security
25%
Computer Science
Internet-Of-Things
100%
Unauthorized Access
25%
Facial Recognition
25%
Data Integrity
12%
Cyber Attack
12%
Security Strategy
12%
Integrity Verification
12%
Cryptography
12%
Tracking (Position)
12%
Developmental Goal
12%
Protect Sensitive Data
12%
Support Vector Machine
12%
Adaboost
12%