Organisational and individual behavioural susceptibility and protection approach for ransomware attacks

A Bello, Q Aigbefo - Handbook of Research on Cybersecurity Issues …, 2023 - igi-global.com
Ransomware attacks have become complex due to the ability of networked-systems
constantly used as attack-vectors for propagating the ransomware payload to victims. The …

Power Consumption Analysis as a Detection Indicator for Cyberattacks on Smart Home Devices

V Schorr, N Kamenev, T Bleistein, D Werth… - Energy Informatics …, 2023 - Springer
The increasing prevalence of smart home devices has created new opportunities for
cyberthreats and-attacks, necessitating effective security measures for their protection. This …

Joined Bi-model RNN with spatial attention and GAN based IoT botnet attacks detection

S Senthil, N Muthukumaran - Sādhanā, 2023 - Springer
Currently, for many purposes machine and deep learning methods are utilized to identify
botnet threats in IoT networks. On the other hand, highly imbalanced network traffic …

[PDF][PDF] Development and integration of machine learning and AI pattern recognition in malware detection: a quantitative and summative analysis of models.

M Rabitoy - 2023 - davenport.edu
Malware detection is a field that is constantly in flux. Increasingly organized and intelligent
malware distributors and authors make the detection and prevention of malware infections …

A Data-Driven Approach for Early Detection of Cryptographic Windows Ransomware

MA Ayub - 2023 - search.proquest.com
Ransomware attacks have captured news headlines worldwide for the last few years due to
their criticality and intensity. Ransomware-as-a-Service (RaaS) kits are aiding adversaries to …

[PDF][PDF] IOT IN CRISIS MANAGEMENT

TM Chin, MR McGuire - 2023 - apps.dtic.mil
Emergency management agencies are responsible for developing processes to maintain
situational awareness in emergency operations centers (EOCs) to prepare for and respond …

[PDF][PDF] Ransomware Detection by Cognitive Security (en inglés)

SPS Gordón - 2023 - doctoradoinformatica.epn.edu.ec
Ransomware-related cyber-attacks have been on the rise over the last decade, disturbing
organizations considerably. Developing new and better ways to detect this type of malware …

Detection of attacks on networks using machine learning

SB Youssouf - 2023 - openaccess.altinbas.edu.tr
As the network has expanded to unprecedented proportions, we are conscious of the
security risks it can cause. Site blocks, data loss, and financial losses are only some of the …

Machine Learning Based Malware Identification and Classification in PDF: A Review Paper

Vaishali, N Pathania - International Conference on Advanced Computing …, 2023 - Springer
Today's modern antivirus software fails to provide protection against malicious PDF
(Portable Document Format) files, which is considered a threat to system security. This study …

Enhancing Software Defined Network security through Blockchain and Performance Comparison in IOT Network

BSE Zoraida, MG Indumathi - 2023 - researchsquare.com
Internet of Things is a paradigm-shifting innovation with far-reaching implications for many
industries and spheres of contemporary life, including but not limited to communications …