SQL injection attacks target databases of web servers. The ability to modify, update, retrieve and delete database contents imposes a high risk on any website in different sectors. In this paper, we investigate the efforts done in the literature to detect and prevent the SQL injection attacks. We also assess the efficiency of the Modsecurity web application firewall in preventing SQL injection

Emerging technologies such as Artificial Intelligence (AI), Blockchain and Internet of Things (IoT) permeate every aspect of work and life. For example, in the supply chain management: IoT-networked sensors can provide real-time insight into the provenance of goods and materials, supplier performance, available capacity, predictive demand and other key data. In turn, this data can feed autonomous

—Nowadays, machine learning is playing a crucial role in harnessing the value of massive data amount currently produced every day. The process of building a high-quality machine learning model is an iterative, complex and time-consuming process that requires solid knowledge about the various machine learning algorithms in addition to having a good experience with effectively tuning their hyper

Usage of Internet of Things (IoT) devices became ubiquitous. IoT is expected to be of more spread, as new ideas emerge on the level of devices and applications. Such--Things-are smart in a manner that they are in connection with each other. Things form some sort of a collaborative network, where they communicate and share data with each other; as well, they are possibly remotely controlled. One

Industry X.0 is becoming a “buzz” word. Governments and businesses around the world believe that missing the new wave of industrialization would jeopardize their competitiveness for a long time, and harm their capacity to play a significant role in a connected globalized economy. Therefore, the paper examines the major drivers shaping this new wave of industrialization. Moreover, the paper

In this paper, we consider a Dark Energy (DE) model which energy density ρ D is a function of the Hubble parameter H squared and of the first and second time derivatives with respect to the cosmic time t of H and is just a specific case of Nojiri-Odintsov holographic DE (Nojiri and Odintsov, 2006 Gen. Relativ. Gravit. 38, 1285). Moreover, this model is characterized by three parameters which are

Gathering and processing large amounts of data is increasing every day. Record linkage is one of the most complex data-intensive tasks, which is used to accurately match records from different data sources that contain information about same entity like a person, especially when they do not share common identifier. As more resources in more than one language become available, new methods are

This study attempts to show the effectiveness of using coconut fibre as a loss circulation material in drillingoperation. The research incorporated a practical approach. Laboratory experiments was conducted to designdrilling muds with the desired loss circulation materials. Their rheological properties and permeabilityplugging ability was ascertained and compared to determine the most effective

The optimized perturbation theory (OPT) is confronted to first-principle lattice simulations. We compare results from the Polyakov linear-sigma model (PLSM) in OPT with the conventional mean-field approximation (MFA). At finite temperatures and chemical potentials, the chiral condensates and the decofinement order parameters, the thermodynamic pressure, the pseudocritical temperatures, the

In different approaches, the temperature-baryon density plane of QCD matter is studied for deconfinement and chemical freezeout boundaries. Results from various heavy-ion experiments are compared with the recent lattice simulations, the effective QCD-like Polyakov linear-sigma model, and the equilibrium thermal models. Along the entire freezeout boundary, there is an excellent agreement between