[HTML][HTML] Ethical hacking for IoT: Security issues, challenges, solutions and recommendations
In recent years, attacks against various Internet-of-Things systems, networks, servers,
devices, and applications witnessed a sharp increase, especially with the presence of 35.82 …
devices, and applications witnessed a sharp increase, especially with the presence of 35.82 …
Cybersecurity in Cyber–Physical Power Systems
LF Ribas Monteiro, YR Rodrigues… - Energies, 2023 - mdpi.com
The current energy transition combined with the modernization of power systems has
provided meaningful transformations in the transmission, distribution, operation, planning …
provided meaningful transformations in the transmission, distribution, operation, planning …
DoS/DDoS attacks in Software Defined Networks: Current situation, challenges and future directions
MA Setitra, M Fan, I Benkhaddra… - Computer …, 2024 - Elsevier
Abstract Software-Defined Network (SDN) is a perception of networking that separates the
network into different layers responsible for applications, control, and data, thus providing a …
network into different layers responsible for applications, control, and data, thus providing a …
Detection of unknown ddos attack using convolutional neural networks featuring geometrical metric
DDoS attacks remain a persistent cybersecurity threat, blocking services to legitimate users
and causing significant damage to reputation, finances, and potential customers. For the …
and causing significant damage to reputation, finances, and potential customers. For the …
Exploring the impact of predictive analytics on accounting and auditing expertise: A regression analysis of LinkedIn survey data
OO Adebiyi - Available at SSRN 4626506, 2023 - papers.ssrn.com
Considering the recent development of big data and its application in various business and
management endeavors, there is a growing need for businesses and management of …
management endeavors, there is a growing need for businesses and management of …
Real-time clustering based on deep embeddings for threat detection in 6G networks
Trials and deployments of sixth Generation (6G) wireless networks, delivering extreme
capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both …
capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both …
Enhanced ensemble-based distributed denial-of-service (DDoS) attack detection with novel feature selection: a robust cybersecurity approach
MA Hossain - Artificial Intelligence Evolution, 2023 - ojs.wiserpub.com
One of the major threats to computer networks and systems is distributed denial-of-service
(DDoS) attacks. These attacks include saturating the targeted system with a large volume of …
(DDoS) attacks. These attacks include saturating the targeted system with a large volume of …
A survey on botnets attack detection utilizing machine and deep learning models
Botnets can be a major risk to computer networks, as they attack in dangerous and diverse
ways. They are becoming increasingly challenging due to the massive amount of network …
ways. They are becoming increasingly challenging due to the massive amount of network …
A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service
D Odera, G Odiaga - World Journal of Advanced Engineering …, 2023 - mail.wjaets.com
Over the years, communication through Short Message Service (SMS) has been a primary
tool for mobile subscribers. SMS has varied applications in health, industry, finances …
tool for mobile subscribers. SMS has varied applications in health, industry, finances …
Real-Time Network Packet Classification Exploiting Computer Vision Architectures
Forthcoming 6G/NextG networks highlight the need for advanced Artificial Intelligence (AI)-
based security mechanisms to identify malicious activities and adapt to emerging threats. In …
based security mechanisms to identify malicious activities and adapt to emerging threats. In …