Health IoT Threat Modelling: A cybersecurity perspective

Domain:

healthcare

Record type:

paper

Creator:

Bas

Editor:

IieProBas

Publisher:

DMP

Host:

This study aims to understand cybersecurity threat modelling techniquesthat are capable of identifying and defending against threats to secureIoT devices in South Africa’s healthcare system. To address thelimitations of existing techniques, it will focus on addressing securityconcerns faced by medical IoT systems. The STRIDE and DREADtechniques will be focused on in order to model against the threats,argues Jansson (2021). The goal is to improve cybersecurity resilience,protect patient privacy and ensure reliable healthcare services.

Visit

doi.org dmphub.uc3prd.cdlib.net

MQTTEEB-D: A Real-World IoT Cybersecurity Dataset for AI-Powered Threat Detection in MQTT Networks

This dataset accompanies the research article on MQTTEEB-D and is intended for public use in cyberse

Cybersecurity Governance of Industrial IoT in Sub-Saharan Africa: Policy Gaps, Threat Landscape, and Lessons from Comparative African Contexts

The rapid deployment of Industrial Internet of Things (IIoT) systems across Sub-Saharan Africa's ext

Digital Pathogens: Modelling infodemics as a public health threat across sub-Saharan Africa

Harnessing Emerging Technologies to Construct an Afrocentric Cybersecurity Threat Model

Purpose: This study examines the rising cybersecurity threats in Africa, where digital transformatio

CYBERSECURITY IN BANKING: A GLOBAL PERSPECTIVE WITH A FOCUS ON NIGERIAN PRACTICES

The paper review cybersecurity practices in banking, with a specific focus on Nigerian banks. Cybers

Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

The Internet of things (IoT) is still in its infancy and has attracted much interest in many industr