[en] This purpose of this document is to provide an overview of Chain of Custody (CoC) technology options that could be made available for the LETTERPRESS exercise as part of the Quad Working Group. The Quad Working Group comprises five sub-working groups (Management, Protocol, Simulation, Technology, and Training) with members from the U.S., U.K., Norway, and Sweden having the goal of providing a repeatable, realistic arms control exercise (dubbed LETTERPRESS) to be executed in representative facilities and using non-proliferative but representative treaty items. The Technology Working Group is responsible for supporting the technology requirements of the LETTERPRESS exercise and as such the technologies presented here are possible options to meet those requirements.

[en] Service providers rely on industrial control systems (ICS) to manage the flow of water at dams, open breakers on power grids, control ventilation and cooling in nuclear power plants, and more. In today's interconnected environment, this can present a serious cyber security challenge. To combat this growing challenge, government, private industry, and academia are working together to reduce cyber risks. The Idaho National Laboratory (INL) is a key contributor to the Department of Energy National SCADA Test Bed (NSTB) and the Department of Homeland Security (DHS) Control Systems Security Program (CSSP), both of which focus on improving the overall security posture of ICS in the national critical infrastructure. In support of the NSTB, INL hosts a dedicated SCADA testing facility which consists of multiple control systems supplied by leading national and international manufacturers. Within the test bed, INL researchers systematically examine control system components and work to identify vulnerabilities. In support of the CSSP, INL develops and conducts training courses which are designed to increase awareness and defensive capabilities for IT/Control System professionals. These training vary from web-based cyber security training for control systems engineers to more advanced hands-on training that culminates with a Red Team/Blue Team exercise that is conducted within an actual control systems environment. INL also provides staffing and operational support to the DHS Industrial Control Systems Cyber Emergency Response Team (ICS-CERT) Security Operations Center which responds to and analyzes control systems cyber incidents across the 18 US critical infrastructure sectors

No abstract available

[en] A simulator of a reactor plant of the present invention comprises a plurality of distributed computers, an indication processing section and an operation section. The simulation calculation functions of various kinds of plant models in the plant are shared by the plurality of computers. The indication processing section controls collection of data of the plant simulated by the computers and instructions of an operator. The operation section is operated by the operator and the results of operation are transmitted to the indication processing section, to conduct operation trainings and display the results of the simulation. Each of the computers and the indication processing portion are connected with each other by a network having a memory for common use. Data such as the results of calculation of plant models and various kinds of parameters of the plant required commonly to the calculators and the indication processing section are stored in the common memory, and adapted to be used by way of the network. (N.H.)

[en] This volume deals with the work undertaken by Committee D during the Triennium 1994-1997. The subjects relating to gas distribution studied in this volume are as follows: Cost Management; Safety; Human Resource Development; Emerging Systems and General Subjects. Surveys were also conducted on these subjects and results included. Other gas distribution subjects are being addressed during the poster session. (EG)

[en] The following method for preparing a specific training program for a given trade can be applied to every level (technical, administrative, management, etc.) and at every organizational level. The process is based on a quality-oriented approach: strict application of a methodology, structured organization and involvement of all participants. The recommended methodology is based on three main phases: For each trade, define a ''trade referential'' based on task analysis; from this, deduce the training objectives, thus defining the ''training referential''; prepare the training plan, write the specifications for the different sessions and then prepare the teaching materials

[en] This presentation outlines the process of learning in organizations. The learning cycle involves acquiring, applying, reflecting and generalizing. There are three levels of learning: organizational learning, team learning and individual learning. Organizational learning is learning that is embedded into the way we do things through process, norms, systems, structures, strategy etc. It concludes by suggesting that organization must generate ideas with impact and generalize ideas with impact

[en] The binary perceptron is the simplest artificial neural network formed by N input units and one output unit, with the neural states and the synaptic weights all restricted to ±1 values. The task in the teacher-student scenario is to infer the hidden weight vector by training on a set of labeled patterns. Previous efforts on the passive learning mode have shown that learning from independent random patterns is quite inefficient. Here we consider the active online learning mode in which the student designs every new Ising training pattern. We demonstrate that it is mathematically possible to achieve perfect (error-free) inference using only N designed training patterns, but this is computationally unfeasible for large systems. We then investigate two Bayesian statistical designing protocols, which require 2.3N and 1.9N training patterns, respectively, to achieve error-free inference. If the training patterns are instead designed through deductive reasoning, perfect inference is achieved using N + log₂ N samples. The performance gap between Bayesian and deductive designing strategies may be shortened in future work by taking into account the possibility of ergodicity breaking in the version space of the binary perceptron. (paper)

No abstract available

[en] In this paper we design a nonparametric method for failures diagnosis in the aircraft control system that uses the measurements of the control signals and the aircraft states only. It doesn’t require a priori information of the aircraft model parameters, training or statistical calculations, and is based on analytical nonparametric one-step-ahead state prediction approach. This makes it possible to predict the behavior of unidentified and failure dynamic systems, to weaken the requirements to control signals, and to reduce the diagnostic time and problem complexity. (paper)