Recent Advances in Computer Science and Communications - Volume 16, Issue 5, 2023

The Internet Of Things (IoT) is a network of heterogeneous nodes that exchange data and critical information amongst themselves with minimum human intervention. The utility of this technology is large, thus it is used today in most modern applications. With billions of nodes connected across multiple applications, the area for potential security attacks is ever increasing. In addition to this, the nature of the data being transmitte Read More

Healthcare data is most unorganized and decentralized in many countries, including India. EHR (Electronic Health Record) has increased its acceptability and importance as it assists in medical research and helps backtrack the origin of disease. EHR may be generated at multiple sources like hospitals, clinics, path labs, or pharmacies. This paper is mainly targeted towards understanding the feasibility and different process Read More

Aims: To solve the problem of difficult acquisition of airport runway destruction image data. Objectives: This paper introduces SinGAN, a single-sample generative adversarial network algorithm. Methods: To address the shortcomings of SinGAN in image realism and diversity generation, an improved algorithm based on the combination of Gaussian error linear unit GELU and efficient channel attention mechanism ECANet is p Read More

Background: A mobile communication network (MCN) consists of mobile and selfsupporting nodes in a network that communicates over wireless links in the network. These mobile nodes within communication range will communicate directly between them, while other nodes in the network need to support neighboring nodes through a routing protocol (EEZRP). Methods: The Routing Protocol (EEZRP) is used to reduce networ Read More

Objective: Privacy in VANETs commands short-lived pseudonyms since the nodes are very mobile. It results in big computational overheads during secure communication between vehicles, which could place the safety of people and vehicles at risk. To overcome such a limitation, we are using the validation approach of pseudonyms based on Bloom Filter, which provides less computational overheads than other authentication p Read More

Background: The enhancement of real-world speech signals is still a challenging task to eliminate noises, namely reverberation, background, street, and babble noises. Recently learned methods like dictionary learning have become increasingly popular and showed promising results in speech enhancement. The K-means Singular Value Decomposition (KSVD) algorithm is best suited for dictionary learning among many sparse re Read More

Background: Network security is getting more serious and has attracted much attention in recent years. Anomaly detection is an important technology to identify bad network flows and protect the network, which has been a hot topic in the network security field. However, in an anomaly detection system, the unknown network flows are always identified as some known flows in the existing solutions, which results in poore Read More

Background: Disease diagnosis is a useful phenomenon in healthcare. Machine learning classification methods would considerably improve the healthcare industry by providing a quick diagnosis of the disease. Thus, time could be saved for doctors. Nearly 17.9 million people expire due to heart disease every year. Objectives: World Health Organization (WHO) predicted that rate of death might increase by 24.5 million in 20 Read More

Background: The progress of the Cognitive Radio-Wireless Sensor Network is being influenced by advancements in wireless sensor networks (WSNs), which significantly have unique features of cognitive radio technology (CR-WSN). Enhancing the network lifespan of any network requires better utilization of the available spectrum as well as the selection of a good routing mechanism for transmitting informational data to t Read More