Search Result "privacy-preserving messaging app."
ASMA: An Advanced Secure Messaging Application
Journal: Recent Advances in Computer Science and Communications
Volume: 15 Issue: 5 Year: 2022 Page: 786-793
Author(s): Arun Sharma
Preserving the Privacy of Wearable IoT Device Data Using Blockchain
Ebook: Blockchain Applications in Cybersecurity Solutions
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815080599123010009
Lightweight Privacy Preserving Scheme for IoT based Smart Home
Journal: Recent Advances in Electrical & Electronic Engineering
Volume: 17 Issue: 8 Year: 2024 Page: 763-777
Author(s):
Blockchain in the Healthcare Domain and Performing Various Security Analysis
Ebook: Blockchain and IoT based Smart Healthcare Systems
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815196290124010010
Security: Does Mobile Application Protect Against Unwanted Usage?
Ebook: Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Volume: 1 Year: 2021
Author(s): Naveen Safia,Hafedh Al-Shihi,Mohamed Sarrab
Doi: 10.2174/9789814998246121010008
Security Challenges For Cloud-Based Email Infrastructure
Ebook: New Age Cyber Threat Mitigation for Cloud Computing Networks
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136111123010012
Internet Privacy Concerns and Social Awareness
Ebook: Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Volume: 1 Year: 2021
Author(s): Chetna Choudhary,Abhishek Srivastava,Deepti Mehrotra,S. Hasnain Pasha
Doi: 10.2174/9789814998451121010012
Charisma: Do Mobile Applications have Charisma?
Ebook: Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Volume: 1 Year: 2021
Author(s): Mohamed Sarrab,Hafedh Al-Shihi,Naveen Safia
Doi: 10.2174/9789814998246121010007
Application of IoTâA Survey
Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815036060122010004
Uses And Challenges of Deep Learning Models for Covid-19 Diagnosis and Prediction
Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s): Vaishali M. Wadhwa
Doi: 10.2174/9789815036060122010006