[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review

SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …

Web phishing detection using web crawling, cloud infrastructure and deep learning framework

LM Abdulrahman, SH Ahmed, ZN Rashid… - Journal of Applied …, 2023 - jastt.org
The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The
Internet is also a powerful channel for social connections. The huge dependency of people …

Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability

CX Hui, G Dan, S Alamri, D Toghraie - Sustainable Cities and Society, 2023 - Elsevier
The integration of urban natural resources and smart city technologies as a means to
promote sustainability is investigated in this study using a descriptive-analytical literature …

Internet of Things Impact on Web Technology and Enterprise Systems

AA Yazdeen, R Qashi, HS Malallah… - Journal of Applied …, 2023 - jastt.org
It's been clearer over the last two decades that computer science plays a crucial role in the
growth of every company. With each passing cycle, the IT industry blossoms a brand-new …

[PDF][PDF] SQL injection attacks prevention system technology

FQ Kareem, SY Ameen, AA Salih… - Asian Journal of …, 2021 - researchgate.net
The vulnerabilities in most web applications enable hackers to gain access to confidential
and private information. Structured query injection poses a significant threat to web …

IoT-based water management systems: survey and future research direction

S Ismail, DW Dawoud, N Ismail, R Marsh… - IEEE …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) sustainable solutions are the next generation of methods for
managing and monitoring valuable natural resources such as water. Research has focused …

[PDF][PDF] Deep learning approaches for intrusion detection

AA Salih, SY Ameen, SR Zeebaree… - Asian Journal of …, 2021 - academia.edu
Recently, computer networks faced a big challenge, which is that various malicious attacks
are growing daily. Intrusion detection is one of the leading research problems in network …

[PDF][PDF] Web server performance improvement using dynamic load balancing techniques: A review

IM Ibrahim, SY Ameen, HM Yasin, N Omar, SF Kak… - system, 2021 - academia.edu
Today, web services rapidly increased and are accessed by many users, leading to massive
traffic on the Internet. Hence, the web server suffers from this problem, and it becomes …

Anomaly detection using a model-agnostic meta-learning-based variational auto-encoder for facility management

J Moon, Y Noh, S Jung, J Lee, E Hwang - Journal of Building Engineering, 2023 - Elsevier
In a smart building, various types of sensor data are generated and employed to control
devices within the building. Detecting anomalies in these sensor data is critical for effective …

IoT approach towards smart water usage

I Andrić, A Vrsalović, T Perković, MA Čuvić… - Journal of cleaner …, 2022 - Elsevier
Monitoring indoor environments in buildings can be a useful tool in improving infrastructure
efficiency. Water losses are an important parameter that can be assessed by monitoring …