[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability

F Cremer, B Sheehan, M Fortmann, AN Kia… - The Geneva papers …, 2022 - ncbi.nlm.nih.gov
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks

HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …

Cybersecurity in the internet of things in industrial management

RJ Raimundo, AT Rosário - Applied Sciences, 2022 - mdpi.com
Nowadays, people live amidst the smart home domain, while there are business
opportunities in industrial smart cities and healthcare. However, there are concerns about …

[HTML][HTML] Deep learning-based intrusion detection approach for securing industrial Internet of Things

S Soliman, W Oudah, A Aljuhani - Alexandria Engineering Journal, 2023 - Elsevier
The widespread deployment of the Internet of Things (IoT) into critical sectors such as
industrial and manufacturing has resulted in the Industrial Internet of Things (IIoT). The IIoT …

Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

Y Chen, Q Lin, W Wei, J Ji, KC Wong… - Knowledge-Based …, 2022 - Elsevier
Our world is moving fast towards the era of the Internet of Things (IoT), which connects all
kinds of devices to digital services and brings significant convenience to our lives. With the …

Towards model generalization for intrusion detection: Unsupervised machine learning techniques

M Verkerken, L D'hooge, T Wauters, B Volckaert… - Journal of Network and …, 2022 - Springer
Through the ongoing digitization of the world, the number of connected devices is
continuously growing without any foreseen decline in the near future. In particular, these …

M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning

AV Turukmane, R Devendiran - Computers & Security, 2024 - Elsevier
The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …

An intelligent DDoS attack detection tree-based model using Gini index feature selection method

MA Bouke, A Abdullah, SH ALshatebi… - Microprocessors and …, 2023 - Elsevier
Cyber security has recently garnered enormous attention due to the popularity of the Internet
of Things (IoT), intelligent devices' rapid growth, and a vast number of real-life applications …

YOLO V3+ VGG16-based automatic operations monitoring and analysis in a manufacturing workshop under Industry 4.0

J Yan, Z Wang - Journal of Manufacturing Systems, 2022 - Elsevier
Under the background of Industry 4.0 and smart manufacturing, operators are still the core of
manufacturing production, and the standardization of their actions greatly affects production …