793 research outputs found

    MiniCPS: A toolkit for security research on CPS Networks

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    In recent years, tremendous effort has been spent to modernizing communication infrastructure in Cyber-Physical Systems (CPS) such as Industrial Control Systems (ICS) and related Supervisory Control and Data Acquisition (SCADA) systems. While a great amount of research has been conducted on network security of office and home networks, recently the security of CPS and related systems has gained a lot of attention. Unfortunately, real-world CPS are often not open to security researchers, and as a result very few reference systems and topologies are available. In this work, we present MiniCPS, a CPS simulation toolbox intended to alleviate this problem. The goal of MiniCPS is to create an extensible, reproducible research environment targeted to communications and physical-layer interactions in CPS. MiniCPS builds on Mininet to provide lightweight real-time network emulation, and extends Mininet with tools to simulate typical CPS components such as programmable logic controllers, which use industrial protocols (Ethernet/IP, Modbus/TCP). In addition, MiniCPS defines a simple API to enable physical-layer interaction simulation. In this work, we demonstrate applications of MiniCPS in two example scenarios, and show how MiniCPS can be used to develop attacks and defenses that are directly applicable to real systems.Comment: 8 pages, 6 figures, 1 code listin

    What makes an industrial control system security testbed credible and acceptable? Towards a design consideration framework

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    The convergence of Industrial Control System (ICS) with Information Technologies (IT) coupled with the resulting and widely publicized cyber security incidents have made ICS security and resilience issues of critical concern to operators and governments. The inability to apply traditional IT security practice to ICSs further complicates the challenges of effectively securing critical industrial systems. To investigate these challenges without impacting upon live system operations, testbeds are being widely used as viable options to explore, develop and assess security risks and controls. However, how an ICS testbed is designed, and its attributes, can directly impact not only on its viability but also its credibility and acceptance for use as a whole. Through a systematic review and analysis of ICS security testbed design factors, a novel outline conceptual mapping of design factors for building credibility and acceptance is proposed. These design considerations include: design objectives, implementation approach, architectural component coverage, core operational characteristics, and evaluation approach

    NEAT: Network Experiment Automation Tool

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    NEAT: Network Experiment Automation Too

    Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation

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    Wireless network emulators are being increasingly used for developing and evaluating new solutions for Next Generation (NextG) wireless networks. However, the reliability of the solutions tested on emulation platforms heavily depends on the precision of the emulation process, model design, and parameter settings. To address, obviate or minimize the impact of errors of emulation models, in this work we apply the concept of Digital Twin (DT) to large-scale wireless systems. Specifically, we demonstrate the use of Colosseum, the world's largest wireless network emulator with hardware-in-the-loop, as a DT for NextG experimental wireless research at scale. As proof of concept, we leverage the Channel emulation scenario generator and Sounder Toolchain (CaST) to create the DT of a publicly-available over-the-air indoor testbed for sub-6 GHz research, namely, Arena. Then, we validate the Colosseum DT through experimental campaigns on emulated wireless environments, including scenarios concerning cellular networks and jamming of Wi-Fi nodes, on both the real and digital systems. Our experiments show that the DT is able to provide a faithful representation of the real-world setup, obtaining an average accuracy of up to 92.5% in throughput and 80% in Signal to Interference plus Noise Ratio (SINR).Comment: 15 pages, 21 figures, 1 tabl
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