Machine learning for wireless sensor networks security: An overview of challenges and issues
R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
DDoS attacks at the application layer: Challenges and research perspectives for safeguarding web applications
A Praseed, PS Thilagam - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks are some of the most devastating attacks
against Web applications. A large number of these attacks aim to exhaust the network …
against Web applications. A large number of these attacks aim to exhaust the network …
Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms
Abstract Distributed Denial of Service (DDoS) attacks are still among the most dangerous
attacks on the Internet. With the advance of methods for detecting and mitigating these …
attacks on the Internet. With the advance of methods for detecting and mitigating these …
Artificial intelligence algorithm-based economic denial of sustainability attack detection systems: Cloud computing environments
THH Aldhyani, H Alkahtani - Sensors, 2022 - mdpi.com
Cloud computing is currently the most cost-effective means of providing commercial and
consumer IT services online. However, it is prone to new flaws. An economic denial of …
consumer IT services online. However, it is prone to new flaws. An economic denial of …
Review of recent detection methods for HTTP DDoS attack
GA Jaafar, SM Abdullah, S Ismail - Journal of Computer …, 2019 - Wiley Online Library
With increment in dependency on web technology, a commensurate increase has been
noted in destructive attempts to disrupt the essential web technologies, hence leading to …
noted in destructive attempts to disrupt the essential web technologies, hence leading to …
Application layer denial-of-service attacks and defense mechanisms: a survey
N Tripathi, N Hubballi - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Application layer Denial-of-Service (DoS) attacks are generated by exploiting vulnerabilities
of the protocol implementation or its design. Unlike volumetric DoS attacks, these are …
of the protocol implementation or its design. Unlike volumetric DoS attacks, these are …
Voting extreme learning machine based distributed denial of service attack detection in cloud computing
GS Kushwah, V Ranga - Journal of Information Security and Applications, 2020 - Elsevier
Distributed denial of service attack is one of the most dangerous attacks in cloud computing.
This attack makes the cloud services inaccessible to the end-users by exhausting resources …
This attack makes the cloud services inaccessible to the end-users by exhausting resources …
Effective and efficient DDoS attack detection using deep learning algorithm, multi-layer perceptron
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and
government agencies. They harm internet businesses, limit access to information and …
government agencies. They harm internet businesses, limit access to information and …
A novel neural network model with distributed evolutionary approach for big data classification
The considerable improvement of technology produced for various applications has resulted
in a growth in data sizes, such as healthcare data, which is renowned for having a large …
in a growth in data sizes, such as healthcare data, which is renowned for having a large …
A survey of deep learning techniques for cybersecurity in mobile networks
The widespread use of mobile devices, as well as the increasing popularity of mobile
services has raised serious cybersecurity challenges. In the last years, the number of …
services has raised serious cybersecurity challenges. In the last years, the number of …