International Journal of Intelligent Defence Support Systems
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International Journal of Intelligent Defence Support Systems (3 papers in press)
Demonstrating Interoperability Between Unmanned Ground Systems and Command and Control Systems by Kim Mathiassen, Frank E. Schneider, Paul Bounker, Alexander Tiderko, Geert De Cubber, Magnus Baksaas, Jakub Glówka, Rafal Kozik, Thomas Nussbaumer, Juha Röning, Johannes Pellenz, André Volk Abstract: This paper describes the research and experiment efforts of the NATO STO group IST-149-RTG Capability Concept Demonstrator for Interoperability within Unmanned Ground Systems and C2 and the NAAG Team of Experts on UGV. The main purpose of the group was to investigate possible standards for controlling UGVs and tests them in a real world scenario. The efforts have been two folded, where the first effort was two NATO groups having an experiment demonstrating interoperability between the UGVs and OCUs available within the group. The Belgium contribution is done in the EU project ICARUS. Both efforts used the Joint Architecture for Unmanned Systems (JAUS) with the Interoperability Profile (IOP) to successfully enable interoperability between the systems. The trials showed that it is possible to extend the systems quite easily and achieve compliance with parts of the standard in a relatively short time. Keywords: interoperability; IOP; interoperability profiles; UGS; unmanned ground systems; UGV; unmanned ground vehicles; command and control systems; JAUS; joint architecture for unmanned systems; ROS; robotic operating system
Deep Learning based Approach for Malware Classification by Harisha A, Mamatha G, Rahul V. Hedge, Sushmika P R, Reshma Kumari, Sandeep K Abstract: Any program that furtively demonstrations against the interests of the PC client can be considered as a malware. These baleful programs can play out varieties of different capacities, for example, taking, encoding, or erasing dainty information, changing or commandeering center processing capacities, and examining clients' computer action without their consent. Today, malware is utilized by both governments and black hat hackers, to take individual, financial, or business data.
In this paper, put forward a strategy for arranging malware utilizing profound learning procedures. Malware binaries are pictured as grayscale pictures, with the perception that for some malware families, the pictures having a place with a similar family show up fundamentally the same as in surface and design. A standard picture highlights grouping strategy is proposed. The exploratory outcomes give 97.45% arrangement classification on a malware database of 9,339 examples with 25 diverse malware families.
Keywords: malware; deep learning; threat identification; intelligent systems.
Software Application for Solving Game Theory Problems by Nikolina Žajdela Hrustek, Nenad Perši, Dino Klicek Abstract: Decision making is a complex assignment, especially in situations of conflict. One way to deal with such problematic situations is game theory application. The purpose of this paper is to present the theoretical and practical application of game theory with emphasis on matrix games and linear programming application. The paper presents an overview of a developed software tool that simplifies solving problems for the user with help of simplex algorithm. Practical starting point on game theory efficiency is provided by demonstrating the application on a real problem. Keywords: decision making; conflict; game theory; game theory problem; matrix game; linear programming; simplex algorithm; software tool.