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Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation
Naïve Bayes (NB) is a well-known probabilistic classification algorithm. It is a simple but
efficient algorithm with a wide variety of real-world applications, ranging from product …
efficient algorithm with a wide variety of real-world applications, ranging from product …
Detection of automotive CAN cyber-attacks by identifying packet timing anomalies in time windows
Cyber-attacks on the automotive controller area network (CAN) have recently been shown to
be achievable and potentially disruptive or deadly. Detecting an attack quickly will require …
be achievable and potentially disruptive or deadly. Detecting an attack quickly will require …
Relaxation‐based anomaly detection in cyber‐physical systems using ensemble kalman filter
H Karimipour, H Leung - IET Cyber‐Physical Systems: Theory & …, 2020 - Wiley Online Library
As power systems mature into smart grid entities, they face new challenges toward online
monitoring and control of the system's behaviour. Burgeoning classes of cyber‐attacks are …
monitoring and control of the system's behaviour. Burgeoning classes of cyber‐attacks are …
Network discovery and scanning strategies and the Dark Triad
Research examining cybercrime and personality is a critical, but understudied topic. From
an applied perspective, such research will inform better practice in cyber defense. It will also …
an applied perspective, such research will inform better practice in cyber defense. It will also …
Towards a threat assessment framework for apps collusion
App collusion refers to two or more apps working together to achieve a malicious goal that
they otherwise would not be able to achieve individually. The permissions based security …
they otherwise would not be able to achieve individually. The permissions based security …
Nth order binary encoding with split-protocol
To cope up with the Big Data explosion, the Nth Order Binary Encoding (NOBE) algorithm
with the Split-protocol has been proposed. In the earlier papers, the application Split …
with the Split-protocol has been proposed. In the earlier papers, the application Split …
Early warning systems for cyber defence
Cybercriminals ramp up their efforts with sophisticated techniques while defenders gradually
update their typical security measures. Attackers often have a long-term interest in their …
update their typical security measures. Attackers often have a long-term interest in their …
Towards an early warning system for network attacks using bayesian inference
The Internet has become the most vulnerable part of critical civil infrastructures. Proactive
measures such as early warnings are required to reduce the risk of disasters that can be …
measures such as early warnings are required to reduce the risk of disasters that can be …
[PDF][PDF] Traffic forecasting for monitoring in computer networks using time series
H Dornel, E Christo, K Costa, D Souza - International Journal of …, 2019 - academia.edu
With the expansion of connectivity and information exchange, monitoring Internet traffic
becomes a priority in network management to identify anomalies and resource use. This …
becomes a priority in network management to identify anomalies and resource use. This …
[PDF][PDF] Detecting cyber attacks on the automotive controller area network
A Tomlinson - 2020 - pureportal.coventry.ac.uk
The rise in data usage and connectivity in cars has led to concerns about their risk to
cyberattack. The Controller Area Network (CAN), used by all cars for communication …
cyberattack. The Controller Area Network (CAN), used by all cars for communication …