Cyber security in iot-based cloud computing: A comprehensive survey
Cloud computing provides the flexible architecture where data and resources are dispersed
at various locations and are accessible from various industrial environments. Cloud …
at various locations and are accessible from various industrial environments. Cloud …
A systematic review on anomaly detection for cloud computing environments
T Hagemann, K Katsarou - Proceedings of the 2020 3rd Artificial …, 2020 - dl.acm.org
The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …
the field of cloud computing in several different ways: from the detection of various types of …
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
Since the beginning of the 21st century, the use of cloud computing has increased rapidly,
and it currently plays a significant role among most organizations' information technology …
and it currently plays a significant role among most organizations' information technology …
VMShield: Memory introspection-based malware detection to secure cloud-based services against stealthy attacks
P Mishra, P Aggarwal, A Vidyarthi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the rapid evolution of the industrial Internet, cloud service has emerged as a next-
generation industrial standard that has the potential to revolutionize and transform the …
generation industrial standard that has the potential to revolutionize and transform the …
Syscall-BSEM: Behavioral semantics enhancement method of system call sequence for high accurate and robust host intrusion detection
Y Zhang, S Luo, L Pan, H Zhang - Future Generation Computer Systems, 2021 - Elsevier
The system call sequence is widely used as raw data due to its prospective performance in
host-based intrusion detection methods using machine learning. However, evolutionary …
host-based intrusion detection methods using machine learning. However, evolutionary …
MinCloud: Trusted and transferable MinHash-based framework for unknown malware detection for Linux cloud environments
Linux clouds have become an attractive target for cyber-attacks. However, existing detection
solutions for Linux clouds have variety of limitations. Some of the solutions are untrusted …
solutions for Linux clouds have variety of limitations. Some of the solutions are untrusted …
Distappgaurd: Distributed application behaviour profiling in cloud-based environment
M Ghorbani, FF Moghaddam, M Zhang… - Proceedings of the 37th …, 2021 - dl.acm.org
Today, Machine Learning (ML) techniques are increasingly used to detect abnormal
behaviours of industrial applications. Since many of these applications are moving to the …
behaviours of industrial applications. Since many of these applications are moving to the …
Enhancing Security in Cyber-Physical Critical Infrastructures A Focus on Detecting Integrity Attacks through Ensemble Modeling
NM Ghazaly, MA Bhandari - Research Journal of Computer …, 2023 - technicaljournals.org
Improving the safety of cyber-physical key assets is very important to keep their processes
safe from attacks on their stability. In this study, we suggest a new way to find these kinds of …
safe from attacks on their stability. In this study, we suggest a new way to find these kinds of …
Behaviour profiling of microservice-based applications and anomaly detection in cloud
M Ghorbani - 2021 - espace.etsmtl.ca
Today, many organizations are moving their applications towards microservice architecture
and virtualized environments because of the benefits such as deployment agility, scalability …
and virtualized environments because of the benefits such as deployment agility, scalability …