Category: Publication

Software-Defined Networking (SDN) is a new paradigm that revolutionizes the idea of a software-driven network through the separation of control and data planes. It addresses the problems of traditional network architecture. Nevertheless, this brilliant architecture is exposed to several security threats, e.g., the distributed denial of service (DDoS) attack, which …

We cannot overemphasize the essence of contextual information in most natural language processing (NLP) applications. The extraction of context yields significant improvements in many NLP tasks, including emotion recognition from texts. The paper discusses transformer-based models for NLP tasks. It highlights the pros and cons of the identified models. The …

Connected Devices Lab in December 2020, participated and presented three accepted papers the 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). The conference was held at the University of Electronic Science and Technology of China campus in Chengdu, China. The following were the papers …

Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the frontiers of organizational success. It helps service providers provide tailor‐made services to their customers. Numerous studies are being carried …

The high possibility of attack is greatly attributed to the broadcast nature of the communication medium in which the sensor nodes operate; this makes eavesdropping of messages possible on the network. This paper proposes a privacy-aware sociopsychological trust and reputation management (PSTRM) model. The paper presents a model that models …

This paper deals with the implementation of a simple algorithm for automatic brain tumor segmentation. Brain tumor is commonly diagnosed by Computer tomography and Magnetic Resonance Imaging in clinical treatment. The paper uses Simple Linear Iterative Clustering (SLIC) to segment brain images according to their spatial and color proximities. The …

SoTRMSim is a MATLAB based simulator for simulating Wireless Sensor Networks (WSN) utilised in computing sociopsychological trust and reputation models. You can also use it to build randomised network deployments for other WSN related research work. This is ideal for new researchers who want existing code to build on in …

The security of a wireless sensor network is greatly increased with increasing levels of trustworthiness of nodes on the network. There are a number of trust models proposed that use various trust evaluation methods. The paper categorises trust evaluation methods for wireless sensor networks into socio-inspired, bio-inspired, and analytical methods. …

Paper Abstract Sensor nodes once deployed onto the field are mostly provided with little or no attention making them prone to physical attacks by adversaries. Various security frameworks have been proposed to mitigate tampering; others also ensure authentication of sensor nodes. Energy is a limited resource and as such, the …