A systematic literature review of information security in chatbots

J Yang, YL Chen, LY Por, CS Ku - Applied Sciences, 2023 - mdpi.com
Chatbots have become increasingly popular in recent years, but they also present security
risks and vulnerabilities that need to be addressed. This systematic literature review …

Blockchain-based multi-factor authentication: A systematic literature review

MS Almadani, S Alotaibi, H Alsobhi, OK Hussain… - Internet of Things, 2023 - Elsevier
Blockchain-based multi-factor authentication (BMFA) combines multi-factor authentication
with blockchain technology to provide a reliable and secure authentication mechanism. In …

AI for identity and access management (IAM) in the cloud: Exploring the potential of artificial intelligence to improve user authentication, authorization, and access …

SO Olabanji, OO Olaniyi, CS Adigwe… - … , and Access Control …, 2024 - papers.ssrn.com
This comprehensive study explores the integration and effectiveness of Artificial Intelligence
(AI) in Identity and Access Management (IAM) within cloud environments. It primarily focuses …

Strengthening cloud security: an innovative multi-factor multi-layer authentication framework for cloud user authentication

AM Mostafa, M Ezz, MK Elbashir, M Alruily… - Applied Sciences, 2023 - mdpi.com
Cloud multi-factor authentication is a critical security measure that helps strengthen cloud
security from unauthorized access and data breaches. Multi-factor authentication verifies …

Secure Internet Financial Transactions: A Framework Integrating Multi-Factor Authentication and Machine Learning

AHM Aburbeian, M Fernández-Veiga - AI, 2024 - mdpi.com
Securing online financial transactions has become a critical concern in an era where
financial services are becoming more and more digital. The transition to digital platforms for …

Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis

SHA Kazmi, F Qamar, R Hassan, K Nisar… - Computer Networks, 2024 - Elsevier
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme

VO Nyangaresi, ZA Abduljabbar, KAA Mutlaq… - Scientific Reports, 2024 - nature.com
Advancements in cloud computing, flying ad-hoc networks, wireless sensor networks,
artificial intelligence, big data, 5th generation mobile network and internet of things have led …

Security in Federated Learning Enabled 6g Era: A Review on Conceptual Techniques and Software Platforms Used for Research and Analysis

SHA Kazmi, F Qamar, R Hassan, K Nisar… - Available at SSRN …, 2024 - papers.ssrn.com
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables
multiple parties to collaboratively train a model without sharing their data. With the upcoming …

[PDF][PDF] An extensive survey of smart agriculture technologies: Current security posture

M Otieno - World J. Adv. Res. Rev, 2023 - researchgate.net
Smart agriculture, enabled by advanced technologies such as internet of things, artificial
intelligence and data analytics, offers immense potential for optimizing farming practices and …

Security challenges in cloud computing: A comprehensive analysis

JJ Ang'udi - World Journal of Advanced Engineering Technology …, 2023 - wjaets.com
The security issues surrounding cloud computing, a quickly developing technology that is
now essential to both personal and business computing, are thoroughly examined in this …