Publications

The fifth-generation (5G) network is set to provide extensive connectivity for sharing information and data with low latency rates, increased bandwidth, and a broader frequency spectrum, ultimately boosting speed. Securing Massive Internet of Things (IoT) devices is paramount to ensure secure communication among various devices. While 5G wireless communication introduces new services and frameworks, it also magnifies security concerns. Additionally, it poses significant challenges to user privacy. This report offers a comprehensive overview of the threats and challenges inherent in 5G networks and presents potential solutions. Furthermore, 5G is leveraged to enhance communication security and provide essential building blocks for physical layer security.

The Crime Prediction Method is a systemic approach to preventing the detection and review of past crime data patterns and trends and uses it for future crime forecasting. This system is designed to predict the type of crime in a given region that is highly likely to occur and can view areas susceptible to crime. Crime analyzers are helping law enforcement officers to solve crimes with the growing advent of computerized systems. Using machine learning methods, we can derive information from past crime data that is unknown and useful before and can predict future crimes. Here we are working to build a machine learning procedure between computer science and criminal justice, so that crimes can be resolved faster. Instead of focusing on the causes of crime, such as crime, political hostility, etc., we concentrate mostly on the crime factors of every day.

In the healthcare industry, we cannot deny, contradict, or oppose the importance of the Internet of Medical Things (IoMT). The ultimate purpose of the IoMT system is to gather and transmit health information, including ECG readings, weight measurements, blood pressure data, and sugar levels. This data may be shared with authorized individuals, such as physicians, participating health companies, insurance providers, or external contractors, regardless of their time, location, or device. However, the situation is not as straightforward because IoMT faces various emerging cyberattacks and threats. New malware attacks targeting IoMT are created and launched daily because attackers recognize the immense value of this market, worth billions. The purpose of this paper is to introduce you to some of the well-known attacks targeting IoT, including denial of service, router attacks, sensor attacks, replay attacks, fingerprinting, time-based spoofing, and recent malware attacks like Miari, Emoted, Gamut, and NE curs, as well as ransomware in IoMT.