[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability
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 …
indicating an increase of more than 50% since 2018. With the average cyber insurance …
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
A Khraisat, A Alazab - Cybersecurity, 2021 - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …
A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …
between different communicating devices. The data should be communicated securely …
Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset
AR Gad, AA Nashat, TM Barkat - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent
transportation system (ITS) that enables vehicles to communicate over the wireless …
transportation system (ITS) that enables vehicles to communicate over the wireless …
Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection
A robust network intrusion detection system (NIDS) plays an important role in cyberspace
security for protecting confidential systems from potential threats. In real world network, there …
security for protecting confidential systems from potential threats. In real world network, there …
An optimized CNN-based intrusion detection system for reducing risks in smart farming
Smart farming is a well-known and superior method of managing a farm, becoming more
prevalent in today's contemporary agricultural practices. Crops are monitored for their …
prevalent in today's contemporary agricultural practices. Crops are monitored for their …
[HTML][HTML] Evolving techniques in cyber threat hunting: A systematic review
In the rapidly changing cybersecurity landscape, threat hunting has become a critical
proactive defense against sophisticated cyber threats. While traditional security measures …
proactive defense against sophisticated cyber threats. While traditional security measures …
Distributed Deep CNN‐LSTM Model for Intrusion Detection Method in IoT‐Based Vehicles
As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection
plays an increasingly important role as a vital detection tool for information security …
plays an increasingly important role as a vital detection tool for information security …
Adoption of cloud computing as innovation in the organization
Over the years, there has been a heavy reliance on cloud computing as IT has innovated
through time. In recent times cloud computing has grown monumentally. Many organizations …
through time. In recent times cloud computing has grown monumentally. Many organizations …
A modified grey wolf optimization algorithm for an intrusion detection system
Cyber-attacks and unauthorized application usage have increased due to the extensive use
of Internet services and applications over computer networks, posing a threat to the service's …
of Internet services and applications over computer networks, posing a threat to the service's …