A Novel, Interdisciplinary, Approach for Community Detection Based on Remote File Requests

Intrusion Detection based on a Novel Hybrid Learning Approach

Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...

Food Safety Accounting: As a Novel Interdisciplinary Approach in Iran

A Novel Fault Detection and Classification Approach in Transmission Lines Based on Statistical Patterns

Symmetrical nature of mean of electrical signals during normal operating conditions is used in the fault detection task for dependable, robust, and simple fault detector implementation is presented in this work. Every fourth cycle of the instantaneous current signal, the mean is computed and carried into the next cycle to discover nonlinearities in the signal. A fault detection task is complete...

A Novel Hybrid Approach for Email Spam Detection based on Scatter Search Algorithm and K-Nearest Neighbors

Because cyberspace and Internet predominate in the life of users, in addition to business opportunities and time reductions, threats like information theft, penetration into systems, etc. are included in the field of hardware and software. Security is the top priority to prevent a cyber-attack that users should initially be detecting the type of attacks because virtual environments are not moni...

Developing a Model for University-Community Engagement based on Social Responsibility Approach in Agricultural Higher Education

The purpose of this research was to develop a model for university–community engagement based on social responsibility approach in agricultural higher education. Causal layered analysis was used to draw different layers of university–community engagement model. A qualitative phenomenological method was used to extract indicators for each layer.  The Nvivo10 QSR software was used for data analys...