Ransomware reloaded: Re-examining its trend, research and mitigation in the era of data exfiltration
Ransomware has grown to be a dominant cybersecurity threat by exfiltrating, encrypting, or
destroying valuable user data and causing numerous disruptions to victims. The severity of …
destroying valuable user data and causing numerous disruptions to victims. The severity of …
[HTML][HTML] A survey of advanced border gateway protocol attack detection techniques
BA Scott, MN Johnstone… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The Internet's default inter-domain routing system, the Border Gateway Protocol (BGP),
remains insecure. Detection techniques are dominated by approaches that involve large …
remains insecure. Detection techniques are dominated by approaches that involve large …
Machine learning for detecting the WestRock ransomware attack using BGP routing records
Border Gateway Protocol (BGP) enables Internet data routing. Hence, its anomalies affect
Internet connectivity and cause routing discon-nections, route flaps, and oscillations …
Internet connectivity and cause routing discon-nections, route flaps, and oscillations …
Data-Driven Network Anomaly Detection with Cyber Attack and Defense Visualization
The exponential growth in data volumes, combined with the inherent complexity of network
algorithms, has drastically affected network security. Data activities are producing …
algorithms, has drastically affected network security. Data activities are producing …
[HTML][HTML] Matrix Profile data mining for BGP anomaly detection
BA Scott, MN Johnstone, P Szewczyk, S Richardson - Computer Networks, 2024 - Elsevier
Abstract The Border Gateway Protocol (BGP), acting as the communication protocol that
binds the Internet, remains vulnerable despite Internet security advancements. This is not …
binds the Internet, remains vulnerable despite Internet security advancements. This is not …
[HTML][HTML] BGP anomaly detection as a group dynamics problem
BA Scott, MN Johnstone, P Szewczyk, S Richardson - Computer Networks, 2025 - Elsevier
Understanding group information and collective behaviors is an ongoing area of research,
encompassing natural phenomena and human dynamics. Quantifying interactions and …
encompassing natural phenomena and human dynamics. Quantifying interactions and …
Identifying and classifying cyberattacks on airports
L Florido-Benítez - Cyber Security: A Peer-Reviewed Journal, 2024 - ingentaconnect.com
This paper describes research to identify and classify cyberattacks in the aviation industry in
order to present the true reality of airports as a critical infrastructure and the threats that …
order to present the true reality of airports as a critical infrastructure and the threats that …
Deep echo state networks for detecting internet worm and ransomware attacks
With the advancement of technology over the last decade, there has been a rapid increase
in the number and types of malware attacks such as worms whose primary function is to self …
in the number and types of malware attacks such as worms whose primary function is to self …
Internet routing anomaly detection using LSTM based autoencoder
The internet is formed by thousands of interconnected Autonomous Systems (ASes). The
Border Gateway Protocol (BGP) exchanges routing information between autonomous …
Border Gateway Protocol (BGP) exchanges routing information between autonomous …
[HTML][HTML] A comprehensive literature review on ransomware detection using deep learning
E Kritika - Cyber Security and Applications, 2024 - Elsevier
The manifold rise in ransomware attacks noted highest in 2023 posing a serious trepidation
for cyber professionals to be active watchdogs of the early detection techniques …
for cyber professionals to be active watchdogs of the early detection techniques …