Tehreem Ashfaq

City, University of London · Department of Computer Science

In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with energy trading problems such as insecure energy trading and inefficient charging mechanisms for electric vehicles (EVs) in a vehicular energy network (VEN). EVs face two major problems: finding an optimal charging station and c...

In this paper, we address the problems of fraud and anomalies in the Bitcoin network. These are common problems in e-banking and online transactions. However, as the financial sector evolves, so do the methods for fraud and anomalies. Moreover, blockchain technology is being introduced as the most secure method integrated into finance. However, alo...

The exponential growth of intelligent vehicles(IVs) development has resulted in a complex network. As the number of IVs in a network increases, so does the number of connections. As a result, a great deal of data is generated. This complexity leads to insecure communication, traffic congestion, security, and privacy issues in vehicular networks (VN...

In this thesis, we proposed three system models to resolve the different problems related to energy optimization and anomaly detection. The exponential increase of EVs in smart cities has led to some complex trading problems. Therefore, in proposed system model, we deal with some major energy trading issues related to the charging of Electric Vehic...

The explosive development of Intelligent Vehicles (IVs) has led to a complex network, which is difficult to manage due to the extensive communication of vehicles and storage of vehicles’ data. Due to increase in number of vehicles, IVs come up with large difficulties. Huge data generated by IVs is very difficult to be handled due to limited storage...

In the smart grid (SG) environment, consumers are enabled to alter electricity consumption patterns in response to electricity prices and incentives. This results in prices that may differ from the initial price pattern. Electricity price and demand forecasting play a vital role in the reliability and sustainability of SG. Forecasting using big dat...

In this paper, we introduced a new enhanced technique , to resolve the issue of electricity price and load forecasting. In Smart Grids (SGs) Price and load forecasting is the major issue. Framework of enhanced technique comprises of classification and feature engineering. Feature engineering comprises of feature selection and feature extraction. De...

Thinning algorithms are an image preprocessing procedure performed to make the image crisper by eliminating the binary-valued image range to lines. The thinning algorithms are utilized for the development of the skeleton of a picture. Thinning cleans the picture with the goal that basically lessened measure of information should be handled in the f...

Thinning algorithms are an image preprocessing procedure performed to make the image crisper by eliminating the binary-valued image range to lines. The thinning algorithms are utilized for the development of the skeleton of a picture. Thinning cleans the picture with the goal that basically lessened measure of information should be handled in the f...

The explosive development of Intelligent Vehicles (IVs) has led to a complex network, which is difficult to manage due to the extensive communication of vehicles and storage of vehicles data. Due to increase in number of vehicles, IVs come up with large difficulties. Huge data generated by IVs is very difficult to handle due to limited storage and...

Cloud servers provide services over the internet by using Virtual Machines (VMs). The power consumption of Physical Machines (PMs) needs to be considered, as VMs are running on physical machines. When a consumer sends request to the cloud, it takes time to respond because of distant location of cloud. Due to which delay and latency issue arises. Fo...

In this paper, an enhanced model for electricity load and price forecasting is proposed. This model consists of feature engineering and classification. Feature engineering consists of feature selection and extraction. For feature selection a hybrid feature selector is used which consists of Decision Tree (DT) and Recursive Feature Elimination (RFE)...

In this paper, an enhanced model for electricity load and price forecasting is proposed. This model consists of feature engineering and classification. Feature engineering consists of feature selection and extraction. For feature selection a hybrid feature selector is used which consists of Decision Tree (DT) and Recursive Feature Elimination (RFE)...

Thinning algorithms are an image preprocessing procedure performed to make the image crisper by eliminating the binary-valued image range to lines. The thinning algorithms are utilized for the development of the skeleton of a picture. Thinning cleans the picture with the goal that basically lessened measure of information should be handled in the f...