A comprehensive study of DDoS attacks over IoT network and their countermeasures
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …
[HTML][HTML] A survey and analysis of intrusion detection models based on cse-cic-ids2018 big data
JL Leevy, TM Khoshgoftaar - Journal of Big Data, 2020 - Springer
The exponential growth in computer networks and network applications worldwide has been
matched by a surge in cyberattacks. For this reason, datasets such as CSE-CIC-IDS2018 …
matched by a surge in cyberattacks. For this reason, datasets such as CSE-CIC-IDS2018 …
As-ids: Anomaly and signature based ids for the internet of things
Abstract The Internet of Things (IoT) is a massively extensive environment that can manage
many diverse applications. Security is critical due to potential malicious threats and the …
many diverse applications. Security is critical due to potential malicious threats and the …
Machine learning approaches for combating distributed denial of service attacks in modern networking environments
A Aljuhani - IEEE Access, 2021 - ieeexplore.ieee.org
A distributed denial of service (DDoS) attack represents a major threat to service providers.
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
Composite and efficient DDoS attack detection framework for B5G networks
Distributed denial-of-service (DDoS) remains an ever-growing problem that has affected and
continues to affect a host of web applications, corporate bodies, and governments. With the …
continues to affect a host of web applications, corporate bodies, and governments. With the …
[HTML][HTML] Performance issues in wireless body area networks for the healthcare application: a survey and future prospects
Q Liu, KG Mkongwa, C Zhang - SN Applied Sciences, 2021 - Springer
This study presents a survey of the current issues, application areas, findings, and
performance challenges in wireless body area networks (WBAN). The survey discusses …
performance challenges in wireless body area networks (WBAN). The survey discusses …
A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
[HTML][HTML] Efficient detection of DDoS attacks using a hybrid deep learning model with improved feature selection
DDoS (Distributed Denial of Service) attacks have now become a serious risk to the integrity
and confidentiality of computer networks and systems, which are essential assets in today's …
and confidentiality of computer networks and systems, which are essential assets in today's …
Network intrusion detection using multi-architectural modular deep neural network
R Atefinia, M Ahmadi - The Journal of Supercomputing, 2021 - Springer
The exponential growth of computer networks and the adoption of new network-based
technologies have made computer security an important challenge. With the emergence of …
technologies have made computer security an important challenge. With the emergence of …
[HTML][HTML] Intelligent techniques for detecting network attacks: review and research directions
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …
technologies are associated with an increased risk of network attacks. Network attacks refer …