[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 systematic literature review for network intrusion detection system (IDS)
OH Abdulganiyu, T Ait Tchakoucht… - International Journal of …, 2023 - Springer
With the recent increase in internet usage, the number of important, sensitive, confidential
individual and corporate data passing through internet has increasingly grown. With gaps in …
individual and corporate data passing through internet has increasingly grown. With gaps in …
Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems.
R Alkanhel, DS Khafaga… - Computers …, 2023 - search.ebscohost.com
Abstract The Internet of Things (IoT) is a modern approach that enables connection with a
wide variety of devices remotely. Due to the resource constraints and open nature of IoT …
wide variety of devices remotely. Due to the resource constraints and open nature of IoT …
GAN augmentation to deal with imbalance in imaging-based intrusion detection
Nowadays attacks on computer networks continue to advance at a rate outpacing cyber
defenders' ability to write new attack signatures. This paper illustrates a deep learning …
defenders' ability to write new attack signatures. This paper illustrates a deep learning …
[HTML][HTML] Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks
The novel human coronavirus disease COVID-19 has become the fifth documented
pandemic since the 1918 flu pandemic. COVID-19 was first reported in Wuhan, China, and …
pandemic since the 1918 flu pandemic. COVID-19 was first reported in Wuhan, China, and …
Machine learning in network anomaly detection: A survey
S Wang, JF Balarezo, S Kandeepan… - IEEE …, 2021 - ieeexplore.ieee.org
Anomalies could be the threats to the network that have ever/never happened. To protect
networks against malicious access is always challenging even though it has been studied …
networks against malicious access is always challenging even though it has been studied …
An optimal intrusion detection system using recursive feature elimination and ensemble of classifiers
With the rapid growth and advancement in technology, we are becoming more and more
dependent on the internet for our day-to-day work. As a result of this, we have become an …
dependent on the internet for our day-to-day work. As a result of this, we have become an …
[HTML][HTML] Intrusion detection system in distributed cloud computing: Hybrid clustering and classification methods
K Samunnisa, GSV Kumar, K Madhavi - Measurement: Sensors, 2023 - Elsevier
Cloud Computing is popular nowadays due to its storage and data access services. Security
and privacy are prime concerns when network threats increase. Cloud computing offers …
and privacy are prime concerns when network threats increase. Cloud computing offers …
An integrated framework for COVID‐19 classification based on classical and quantum transfer learning from a chest radiograph
COVID‐19 is a quickly spreading over 10 million persons globally. The overall number of
infected patients worldwide is estimated to be around 133,381,413 people. Infection rate is …
infected patients worldwide is estimated to be around 133,381,413 people. Infection rate is …
Network anomaly detection in a controlled environment based on an enhanced PSOGSARFC
EK Boahen, BE Bouya-Moko, C Wang - Computers & Security, 2021 - Elsevier
Network anomalies detection is a complementary technology for systems that detect security
threats in networks based on package signatures. Controlled network environments have …
threats in networks based on package signatures. Controlled network environments have …