In the ever-evolving information technology landscape, the Internet of Things (IoT) is a groundbreaking concept that bridges the physical and digital worlds. It is the backbone of an increasingly sophisticated interactive environment, yet it is a subject of intricate security challenges spawned by its multifaceted manifestations. Central to securing IoT infrastructures is the crucial aspect of authentication, necessitating a comprehensive examination of its nuances, including benefits, challenges, opportunities, trends, and societal implications. In this article, we thoroughly review the IoT authentication protocols (Aps), addressing the main challenges such as privacy protection, scalability, and human factors that may impact security. Through exacting analysis, we evaluate the strengths and weaknesses of existing APs and conduct a comparative performance analysis to evaluate their effectiveness and scalability in securing IoT environments and devices. At the end of this study, we summarize the main findings and suggest ways to improve the security of IoT devices in the future.

The impact of floods is the most severe among the natural calamities occurring in Malaysia. The knock of floods is consistent and annually forces thousands of Malaysians to relocate. The lack of information from the Ministry of Environment and Water, Malaysia is the foremost obstacle in upgrading the flood mapping. With the expeditious evolution of computer techniques, processing of satellite and unmanned aerial vehicle (UAV) images for river hydromorphological feature detection and flood management have gathered pace in the last two decades. Different image processing algorithms—structure from motion (SfM), multi-view stereo (MVS), gradient vector flow (GVF) snake algorithm, etc.—and artificial neural networks are implemented for the monitoring and classification of river features. This paper presents the application of the k-means algorithm along with image thresholding to quantify variation in river surface flow areas and vegetation growth along Kerian River, Malaysia. The river characteristic recognition directly or indirectly assists in studying river behavior and flood monitoring. Dice similarity coefficient and Jaccard index are numerated between thresholded images that are clustered using the k-means algorithm and manually segmented images. Based on quantitative evaluation, a dice similarity coefficient and Jaccard index of up to 97.86% and 94.36% were yielded for flow area and vegetation calculation. Thus, the present technique is functional in evaluating river characteristics with reduced errors. With minimum errors, the present technique can be utilized for quantifying agricultural areas and urban areas around the river basin.

This article introduces a 4-legged walking robot using Hoeckens Linkage. In some applications, a legged robot is preferred if compared with a wheeled robot because it has a more considerable degree of freedom and can move on uneven surfaces. Hoeckens Linkage is one of the linkages that can convert rotational motion to approximate straight-line motion, which allows the robot to move faster than other linkages. This robot is designed using SolidWorks to simulate the Hoeckens linkage path, and its structure is built using 3D printed parts. Arduino Mega was used as a microcontroller to process the feedback signals so that the robot able to move in the desired pattern. The hall effect encoders were used so that DC motors always rotate with the desired RPM regardless of walking surfaces and power supplied to them. MPU 6250 gyro sensor also be used in this walking robot as a navigation sensor. Gyro sensor allows the robot to travel in a straight line or rotate a certain degree by computing yaw value from its raw data and DC motors’ control speed using a P controller. The speed average of the fabricated robot is 3.00 m/min.

Throughout the history of robot development, most of the subjects are based on wheeled mobile robots and are moving on the floor. In this paper, a different kind of robot design, rope climbing robot, will be discussed. It is a robot that climbs along a rope and therefore can move across the space through the rope. This robot needs only a DC motor and two servo motors for the climbing operation. The advantages of the proposed robot are low energy consumption, low cost, easy to control and build. This research is focused on the mechanical design and implementation of the robot. During the development stage, this proposed robot design was tested with 2 tasks and had been used in a rope climbing competition for a robotic competition in Malaysia. The result of the competition was very encouraging and proved that the robot design is applicable. This rope climbing robot can be applied to transport goods in a factory or transport casualty in rescue operation.