Blockchain from the information systems perspective: Literature review, synthesis, and directions for future research
This paper profiled blockchain studies in information systems (IS) journals from 2016 to
2022. Drawing on the 443 selected articles from 77 IS journals, we proposed a classification …
2022. Drawing on the 443 selected articles from 77 IS journals, we proposed a classification …
Synergy of blockchain technology and data mining techniques for anomaly detection
Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing
an important role in the modern Information Technology (IT) revolution. Blockchain has …
an important role in the modern Information Technology (IT) revolution. Blockchain has …
ForensicTransMonitor: A Comprehensive Blockchain Approach to Reinvent Digital Forensics and Evidence Management
SS Alqahtany, TA Syed - Information, 2024 - mdpi.com
In the domain of computer forensics, ensuring the integrity of operations like preservation,
acquisition, analysis, and documentation is critical. Discrepancies in these processes can …
acquisition, analysis, and documentation is critical. Discrepancies in these processes can …
Performance analysis of state‐of‐the‐art CNN architectures for brain tumour detection
Deep learning models, such as convolutional neural network (CNN), are popular now a day
to solve various complex problems in medical and other fields, such as image classification …
to solve various complex problems in medical and other fields, such as image classification …
Lightweight and secure D2D group communication for wireless IoT
In recent years, wirless Internet of Things (IoT) technology has developed rapidly, and the
reuse of spectrum resources, network efficiency, and the diversity of multi-communication …
reuse of spectrum resources, network efficiency, and the diversity of multi-communication …
CAR-tourist: An integrity-preserved collaborative augmented reality framework-tourism as a use-case
The unprecedented growth in Augmented Reality (AR) has captured the focus of
researchers and the industrial sector. The development of AR applications and their …
researchers and the industrial sector. The development of AR applications and their …
Leveraging artificial intelligence in blockchain-based e-health for safer decision making framework
Machine learning-based (ML) systems are becoming the primary means of achieving the
highest levels of productivity and effectiveness. Incorporating other advanced technologies …
highest levels of productivity and effectiveness. Incorporating other advanced technologies …
CTNet: convolutional transformer network for diabetic retinopathy classification
Currently, diabetic retinopathy diagnosis tools use deep learning and machine learning
algorithms for fundus image classification. Deep learning techniques especially convolution …
algorithms for fundus image classification. Deep learning techniques especially convolution …
Market behavior-oriented deep learning-based secure data analysis in smart cities
Abstract The construction of Smart Cities is inseparable from the healthy operation of
markets. Reasonable data analysis can provide a crucial foundation for the development of …
markets. Reasonable data analysis can provide a crucial foundation for the development of …
Gaming the system: tetromino-based covert channel and its impact on mobile security
E Vasilellis, V Botsos, A Anagnostopoulou… - International Journal of …, 2024 - Springer
Trojan droppers consistently emerge as challenging malware threats, particularly within the
Android ecosystem. Traditional malware detection approaches focus on identifying payloads …
Android ecosystem. Traditional malware detection approaches focus on identifying payloads …