Search

Intrusion detection systems (IDS) can be used to detect irregularities in network traffic to improve network security and protect data and systems. From 2.4 times in 2018 to three times in 2023, the number of devices linked to IP networks is predicted to outnumber the total population of the world. In 2020, approximately 1.5 billion cyber-attacks on Internet of Things (IoT) devices have been reported. Classification of these attacks in the IoT network is the major objective of this research. This research proposes a hybrid machine learning model using Seagull Optimization Algorithm (SOA) and Extreme Learning Machine (ELM) classifier to classify and detect attacks in IoT networks. The CIC-IDS-2018 dataset is used in this work to evaluate the proposed model. The SOA is implemented for feature selection from the dataset, and the ELM is used to classify attacks from the selected features. The dataset has 80 features, in the proposed model used only 22 features with higher scores than the original dataset. The dataset is divided into 80% for training and 20% for testing. The proposed SOA-ELM model obtained 94.22% accuracy, 92.95% precision, 93.45% detection rate, and 91.26% f1-score. [ABSTRACT FROM AUTHOR]

The Internet of Things based smart bins with IR sensors which measure the level of dustbin being filled up. The container is divided into three levels of garbage being collected on it. Every time the garbage crosses a level the sensors receives the data of the fill level. This data is further sent to the garbage analyzer as instant message and view in the webpage. However, three sensors can be employed at different heights like h/3, 2h/3 and h, where h is the height of the bin, and it is used to measure the different level of wastage in the smart bin. Threshold distance is the difference in height at which sensor is placed and the level of garbage fill. Once the garbage level exceeds the threshold value, the corresponding information sent to the garbage collection unit and updated in the webpage via WI-FI module. The user can also know the status of the garbage level of the smart bin at any time by sending the query through the webpage, and the status of the particular smart bin will be displayed on the webpage. [ABSTRACT FROM AUTHOR]

Visible Light Communications is the best system for an ecological and human health, and can use the established retro-system including the lighting facility as well as power line system. This system is also free from the current radio regulation. Present Visible Light Communication designs commonly require LED lights to emit light beams. It greatly limits the applicable scenarios of VLC. Visible Light Communication is called as VLC. Li-Fi is a wireless optical networking technology that uses light-emitting diodes (LEDs) for information transmission. In our system, we are proposing a LI-FI communication for playing audio information to visitors by using headphone. The visitors are standing infront of the picture or instrument and the IR sensor is detect the human. The microcontroller having all the details about that instrument or picture. The LIFI module transmit the corresponding light to PV panel. The pv panel produce the dc signal. The PV panel is connected to headphone. so the headphone is produce the corresponding information about that instrument or picture to user. The lcd is used for display purpose like track1, track2. [ABSTRACT FROM AUTHOR]