[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 one-dimensional convolutional neural network (1D-CNN) based deep learning system for network intrusion detection
The connectivity of devices through the internet plays a remarkable role in our daily lives.
Many network-based applications are utilized in different domains, eg, health care, smart …
Many network-based applications are utilized in different domains, eg, health care, smart …
Machine-learning-enabled ddos attacks detection in p4 programmable networks
Abstract Distributed Denial of Service (DDoS) attacks represent a major concern in modern
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …
Intrusion detection system on IoT with 5G network using deep learning
N Yadav, S Pande, A Khamparia… - … and Mobile Computing, 2022 - Wiley Online Library
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …
communications networks are increasing at exponential speed. As problems caused by the …
An efficient hyperparameter control method for a network intrusion detection system based on proximal policy optimization
H Han, H Kim, Y Kim - Symmetry, 2022 - mdpi.com
The complexity of network intrusion detection systems (IDSs) is increasing due to the
continuous increases in network traffic, various attacks and the ever-changing network …
continuous increases in network traffic, various attacks and the ever-changing network …
Detecting DDoS attacks in cloud computing using extreme learning machine and adaptive differential evolution
GS Kushwah, V Ranga - Wireless Personal Communications, 2022 - Springer
Distributed denial of service (DDoS) attacks disrupt the availability of cloud services. The
detection of these attacks is a major challenge in the cloud computing environment. Machine …
detection of these attacks is a major challenge in the cloud computing environment. Machine …
SOC estimation using deep bidirectional gated recurrent units with tree parzen estimator hyperparameter optimization
State-of-charge (SOC) is a crucial battery quantity that needs constant monitoring to ensure
cell longevity and safe operation. However, SOC is not an observable quantity and cannot …
cell longevity and safe operation. However, SOC is not an observable quantity and cannot …
A deep learning approach to online social network account compromisation
The major threat to online social network (OSN) users is account compromisation.
Spammers now spread malicious messages by exploiting the trust relationship established …
Spammers now spread malicious messages by exploiting the trust relationship established …
An ameliorated multiattack network anomaly detection in distributed big data system-based enhanced stacking multiple binary classifiers
AA Alhabshy, BI Hameed, KA Eldahshan - IEEE Access, 2022 - ieeexplore.ieee.org
The growth of the Internet of Things (IoT) generates new processing, networking
infrastructure, data storage, and management capabilities. This massive volume of data may …
infrastructure, data storage, and management capabilities. This massive volume of data may …
Hybrid machine learning approach based intrusion detection in cloud: A metaheuristic assisted model
Cloud computing provides various cost-effective on-demand services to the user and so it is
rising like a real trend in the IT service model. However, due to its open and distributed …
rising like a real trend in the IT service model. However, due to its open and distributed …