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A new static-based framework for ransomware detection

Recently, ransomware attacks are on the rise hitting critical infrastructures and organizations globally. Ransomware uses advanced encryption techniques to encrypt important files on the targeted computer, then it requests payment to decrypt the encrypted files again. Therefore, the detection and prevention of ransomware attacks represent major challenges for security researchers. This research

Artificial Intelligence

Decoding arm kinematics from EMG signals using Kalman filter

Myoelectric control of prosthetic arms provides a new hope for providing naturalistic movements to amputees. Extensive work has been made in recent years to use Electromyography (EMG) signals to enhance the operation of prosthetic arms. In this paper, we propose an EMG Kalman filter-based model, where we identify the relationship between the joint angles and recorded EMG signals. EMG signals were

Artificial Intelligence

A Context Integrated Model for Multi-label Emotion Detection

This paper explores the impact of taking the environment within which a tweet is made, on the task of analyzing sentiment orientations of tweets produced by people in the same community. The paper proposes C-GRU (Context-aware Gated Recurrent Units), which extracts the contextual information (topics) from tweets and uses them as an extra layer to determine sentiments conveyed by the tweet. The

Artificial Intelligence

Stock exchange threat modeling, EGX as a case study

Cyber crime is a growing threat affecting all business sectors. Stock Exchanges, a financial services sector, are not far from it. Trading stocks via Internet exposes the process to cyber threats that might take advantage of a system defect to breach security and cause possible harm. Online Trading websites are protected by various security systems. Digital Certificate, which is based on Secure

Artificial Intelligence
Innovation, Entrepreneurship and Competitiveness

Guidance optimization for tactical homing missiles and air defense systems

The aim of this paper is to develop a functional approach to optimize the engagement effectiveness of the tactical homing missiles and air defense systems by utilizing the differential geometric concepts. In this paper the engagement geometry of the interceptor and the target is developed and expressed in differential geometric terms in order to demonstrate the possibilities of the impact

Energy and Water
Circuit Theory and Applications

Control of new type of fractional chaos synchronization

Based on stability theory of linear fractional order systems and stability theory of linear integer order systems, the problem of coexistence of various types of synchronization between different dimensional fractional chaotic systems is investigated in this paper. Numerical and simulation results have clearly shown the effectiveness of the novel approach developed herein. © 2018, Springer

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Control of a two link planar electrically-driven rigid robotic manipulator using fractional order SOFC

An intelligent adaptive fuzzy logic control technique, Fractional Order Self Organizing Fuzzy Controller (FOSOFC) is presented and applied to control a two link planar electrically-driven rigid robotic (EDRR) manipulator system. As EDRR is a multi-input multi-output complex nonlinear system, an intelligent adaptive controller, FOSOFC is considered to control it perfectly. To show the efficacy of

Artificial Intelligence
Circuit Theory and Applications
Software and Communications

Tunnel-Based EAP Effective Security Attacks WPA2 Enterprise Evaluation and Proposed Amendments

Tunnel-Based Extensible Authentication Protocol has become fundamental for wireless Network access Control. It provides authentication, privacy and authorization for enterprise network access protected by WPA/WPA2 security framework. WPA2 is considered the latest and most secure standard for wireless communication especially for Wi-Fi networks. However, WPA/WPA2-PSK have been lately threatened by

Circuit Theory and Applications
Software and Communications

Advances in system dynamics and control

Complex systems are pervasive in many areas of science. With the increasing requirement for high levels of system performance, complex systems has become an important area of research due to its role in many industries. Advances in System Dynamics and Control provides emerging research on the applications in the field of control and analysis for complex systems, with a special emphasis on how to

Energy and Water
Mechanical Design

A fuzzy approach of sensitivity for multiple colonies on ant colony optimization

In order to solve combinatorial optimization problem are used mainly hybrid heuristics. Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid model by using their benefits. The paper introduces a new model of Ant Colony Optimization using multiple colonies with different level of sensitivity to the ant’s pheromone. The colonies react different to the changing

Artificial Intelligence
Healthcare