The rapid growth of the web has transformed our daily lives and the need for secure user authentication and authorization has become a crucial aspect of web-based services. JSON Web Tokens (JWT), based on RFC 7519, are widely used as a standard for user authentication and authorization. However, these tokens do not store information about the user’s behavior history. To address this issue, this paper presents a solution to enhance the trustworthiness of user authentication in web applications based on their behavior history. The solution considers factors such as the number of password attempts, IP address consistency, and user agent type and assigns a weight or percentage to each. These weights are summed up and stored in the user’s account, and updated after each transaction. The proposed approach was implemented using the .NET framework, C# programming language, and PostgreSQL database. The results show that the proposed solution effectively increases the level of trust in user authentication. The paper concludes by highlighting the strengths and limitations of the proposed solution.

Inter-cell Interference (ICI) is a key issue in orthogonal frequency-division multiple access (OFDMA) systems. Since OFDMA was proposed to be used in next generation networks several schemes have been investigated for mitigating the ICI. One of the techniques that promises improvement in reducing ICI is partial frequency reuse (PFR). In this paper we investigate a flexible bandwidth allocation (FBA) scheme for PFR depending on the network-load, which allocates bandwidth dynamically in the network. The scheme is based on the assumption that a cell is not loaded homogeneously. We develop a suitable network description to obtain the optimum PFR zone partitioning as a function of the dynamic bandwidth allocation. Thus, our paper presents a general framework for intelligent frequency planning in wireless networks. Compared to simpler PFR schemes, our simulation results show that the cell capacity for reuse-1 can be increased by 2 b/s/Hz when our scheme is used by exploiting the inhomogeneities in the load.

In this paper we apply constrained optimization techniques to optimally allocate bandwidth and transmit power to the users in a cellular network. We utilize partial frequency reuse as inter-cell interference mitigation technique considering multiple users uniformly located in the cell. Efficient algorithms are proposed to select the user in the cell regions. Moreover, based on user's selection the maximization of the minimum rate is used to optimally allocate the bandwidth and power to the users. We further demonstrate by simulations that using partial frequency reuse as inter-cell interference mitigation technique is more efficient in power use than using frequency reuse-1 or frequency reuse-3.

We apply constrained optimization techniques to optimally allocate the bandwidth and power to the users in a cellular network. We investigate partial frequency reuse with multiple users in the full and partial frequency regions for inter-cell interference mitigation. We show that the non-convex sum-rate maximization problem becomes convex under certain simplifying assumptions. Moreover, an efficient algorithm is developed to solve the problem for a fixed bandwidth allocation. The optimal solution assigns all available power to the users. Finally, we prove that even without simplifications the non-convex problems of maximizing the minimum rate among users and minimizing the sum-power are transformable into convex forms.

In this paper we apply constrained optimization techniques to optimally allocate bandwidth and transmit power to the users in a cellular network. We utilize partial frequency reuse with one user in the full and one user in the partial frequency reuse regions as inter-cell interference mitigation technique. We show that the non-convex sum-rate maximization problem becomes convex under some simplifying assumptions. Moreover, an efficient algorithm is used to solve the problem for a fixed bandwidth allocation. Our results show that in the optimum, the full amount of power is assigned to the users. We further demonstrate by simulations that re-allocating the outer cell bandwidth to the inner user when no outer user is present, results in a significantly increased sum-rate.