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 …

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 …

Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms

V de Miranda Rios, PRM Inácio, D Magoni… - Computer Networks, 2021 - Elsevier
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 …

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 …

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 …

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 …

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 …

Effective and efficient DDoS attack detection using deep learning algorithm, multi-layer perceptron

S Ahmed, ZA Khan, SM Mohsin, S Latif, S Aslam… - Future Internet, 2023 - mdpi.com
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses 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

K Haritha, S Shailesh, MV Judy, KS Ravichandran… - Scientific Reports, 2023 - nature.com
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 …

A survey of deep learning techniques for cybersecurity in mobile networks

E Rodriguez, B Otero, N Gutierrez… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
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 …