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Human factor security: evaluating the cybersecurity capacity of the industrial workforce

Journal of systems and Information Technology 2019年第1期21卷 2-35页

作者： Ani, Uchenna Daniel He, Hongmei Tiwari, Ashutosh Cranfield University Cranfield United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

Purpose: As cyber-attacks continue to grow, organisations adopting the internet-of-things (IoT) have continued to react to security concerns that threaten their businesses within the current highly competitive environment. Many recorded industrial cyber-attacks have successfully beaten technical security solutions by exploiting human-factor vulnerabilities related to security knowledge and skills and manipulating human elements into inadvertently conveying access to critical industrial assets. Knowledge and skill capabilities contribute to human analytical proficiencies for enhanced cybersecurity readiness. Thus, a human-factored security endeavour is required to investigate the capabilities of the human constituents (workforce) to appropriately recognise and respond to cyber intrusion events within the industrial control system (ICS) environment. Design/methodology/approach: A quantitative approach (statistical analysis) is adopted to provide an approach to quantify the potential cybersecurity capability aptitudes of industrial human actors, identify the least security-capable workforce in the operational domain with the greatest susceptibility likelihood to cyber-attacks (i.e. weakest link) and guide the enhancement of security assurance. To support these objectives, a Human-factored Cyber Security Capability Evaluation approach is presented using conceptual analysis techniques. Findings: Using a test scenario, the approach demonstrates the capacity to proffer an efficient evaluation of workforce security knowledge and skills capabilities and the identification of weakest link in the workforce. Practical implications: The approach can enable organisations to gain better workforce security perspectives like security-consciousness, alertness and response aptitudes, thus guiding organisations into adopting strategic means of appropriating security remediation outlines, scopes and resources without undue wastes or redundancies. Originality/value: This paper demonstrat

关键词： Network security

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Performance evaluation of linear camera calibration techniques

Performance evaluation of linear camera calibration techniqu...

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Image Processing, Biomedicine, Multimedia, Financial engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004

作者： Vlala, Carlos Ricolfe Salmerón, Antonio José Sáncliez Systems Engineering and Automatic Control Department Polytechnic University of Valencia

ISBN: (纸本)188933524X

Camera calibration represents an important step in 3D reconstruction process. A lot of linear camera calibration techniques exist which try to compute the camera intrinsic and extrinsic parameters with a close form solution. This close form solution arise form the minimization of a linear cost function. Since the noise in the points' coordinates, the computed parameters are an approximation of the real ones. Therefore, this cost function can include some restrictions in order to improve the robustness of the algorithm. In this paper a summary of the most important linear camera calibration techniques is done. Afterwards, an evaluation of its performance is carried out. This evaluation is done from the point of view of the parameters which have more influence in the results. These are the number of points and the noise level.

关键词： Cameras

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Improving BDD-based attractor detection for synchronous Boolean networks

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Science China(Information Sciences) 2016年第8期59卷 7-22页

作者： Qixia YUAN Hongyang QU Jun PANG Andrzej MIZERA Faculty of Science Technology and Communication University of Luxembourg Department of Automatic Control & Systems Engineering University of Sheffield Interdisciplinary Centre for Security Reliability and Trust University of Luxembourg

Boolean networks are an important formalism for modelling biological systems and have attracted much attention in recent years. An important challenge in Boolean networks is to exhaustively find attractors,which represent steady states of a biological network. In this paper, we propose a new approach to improve the efficiency of BDD-based attractor detection. Our approach includes a monolithic algorithm for small networks,an enumerative strategy to deal with large networks, a method to accelerate attractor detection based on an analysis of the network structure, and two heuristics on ordering BDD variables. We demonstrate the performance of our approach on a number of examples and on a realistic model of apoptosis in hepatocytes. We compare it with one existing technique in the literature.

关键词： Boolean networks systems biology binary decision diagram attractor verification algorithms

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Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention

Multimodal Emotion Recognition Based on Multi-Scale Facial F...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Chengao Bao Luefeng Chen Min Li Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation and the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Tokyo Institute of Technology Yokohama Japan Tokyo Institute of Technology Tokyo Japan

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branch ViT architecture by using classification tokens in each branch to interact with picture embeddings in the other branch, which facilitates effective interactions between different scales of information. Subsequently, audio features are extracted using ResNet18 network. The cross-modal attention mechanism is used to obtain the weight matrices between different modal features, making full use of inter-modal correlation and effectively fusing visual and audio features for more accurate emotion recognition. Two datasets are used for the experiments: eNTERFACE'05 and REDVESS dataset. The experimental results show that the accuracy of the proposed method on the eNTERFACE'05 and REDVESS datasets is 85.42% and 83.84% respectively, which proves the effectiveness of the proposed method.

关键词： Emotion recognition Visualization Accuracy Service robots Semantics Human-robot interaction Speech recognition Feature extraction Data mining Facial features

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Efficient and Collaborative Decisions for Supplier-Customer Services Management 9th

Efficient and Collaborative Decisions for Supplier-Customer ...

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9th International Conference on Information Technology and Quantitative Management, ITQM 2022

作者： Dimon, Catalin Popescu, Dumitru Bîlbîie, Radu Department of Automatic Control and Systems Engineering Upb Bucharest Romania

The research work presents a original solution for increasing the efficiency on management Supplied-Customer Services (SCS), based on a causal graph configuration. This approach expresses the connection, interaction, and collaboration between the two main actors, suppliers and consumers of goods and products. The causal graph model is intended for management of supply resources, production capacities, transport activities and customer demands. Initial configuration of this a priori generated graph includes the suppliers and consumers distributed in nodes and the interconnections expressed by the arches of the graph. A causal operator is introduced, which offer the efficient decisions propagation for the estimated solution of the supplier-customer services (SCS) problem. The customers can be served by the corresponding suppliers, or the suppliers must satisfy the services of the consumers, respectively. The road traffic is chosen for transport activities at a specific model to traffic network and appropriate control to avoid congestion and increase the real-time traffic performances for (SCS) management. The effectiveness of the proposed approach is visible on large structures of the supply-customer networks in different industrial and economic fields. © 2022 The Author(s).

关键词： Sales

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Perturbation analysis applied to non homogeneous camera calibration

Perturbation analysis applied to non homogeneous camera cali...

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Image Processing, Biomedicine, Multimedia, Financial engineering and Manufacturing - International Forum on Multimedia Image Processing, IFMIP - Sixth Biannual World Automation Congress, WAC 2004

作者： Viala, Carlos Ricolfe Salmerón, Antonio José Sánchez Systems Engineering and Automatic Control Department Polytechnic University of Valencia

ISBN: (纸本)188933524X

Camera calibration process is very sensitive to noise. Errors' coming from noisy measurements of the points coordinates, their situation in the world and the calibration algorithm itself creates a deviated solution from the real one. Therefore, it is more interesting to obtain the standard deviation and the mean value of a parameter, than only a value. This value is always false because of the input data is corrupted with noise. This standard deviation represents the quality of the computed parameter. In this paper a method to compute this standard deviation of the projection matrix elements is presented. In this case, the projection matrix is computed with the non homogeneous solution based on the least squares technique.

关键词： Perturbation techniques

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A stabilising nonlinear predictive control strategy

A stabilising nonlinear predictive control strategy

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作者： Cristea, Smaranda De Prada, César Department of Systems Engineering and Automatic Control University of Valladolid Spain

ISBN: (纸本)9783902661289

In this paper a practical new approach to the topic of guarantee closed loop stability of constrained predictive controllers is proposed. The problem is addressed for the case when, due to disturbances, inadequate constraints, etc., the reference cannot be reached within the prediction horizon. The method combines the cancellation of modes at the end of the prediction horizon with a minimization of the distance to the controller set point. In this way, the proposed scheme assures stability even with open loop unstable processes while, at the same time, avoids the feasibility problems. The efficacy of the proposed approach is demonstrated through a nonlinear chemical reactor example. Copyright © 2007 IFAC.

关键词： controllers

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NEURAL NETWORK-BASED APPROXIMATE REASONING - PRINCIPLES AND IMPLEMENTATION

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INTERNATIONAL JOURNAL OF control 1992年第2期56卷 399-413页

作者： NIE, JH LINKENS, DA Department of Automatic Control and Systems Engineering University of Sheffield Sheffield SI 3JD U.K.

Instead of seeking a structure mapping from a fuzzy reasoning system to a neural network, this paper is intended to find a functional mapping from a fuzzy logic-based algorithm to the network-based approach. By viewing the given rule-base as defining a global linguistic association constrained by fuzzy sets, approximate reasoning is implemented here by a Backpropagation Neural Network (BNN) with the aid of fuzzy set theory. By paying particular attention to the generalization capability of the BNN, the underlying principles have been examined in detail using two examples: a small demonstration at the linguistic level, and a more realistic problem of multivariable fuzzy control of blood pressure. The simulation results not only indicate the feasibility of the BNN-based approach, but also reveal some deeper similarities which exist in the two methods, which may have some important implications for future studies into fuzzy control. In addition, this work may be considered as another application example of the BNN in the case of continuous outputs and on a relatively larger scale (in the second example the BNN has 26 inputs and 13 outputs, with a total of 2013 weights and thresholds).

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Some remarks on potential field constructions in a multi-obstacle environment

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IFAC-PapersOnLine 2016年第23期49卷 28-33页

作者： Prodan, Ionela Stoican, Florin Grøtli, Esten Ingar Grenoble INP France Department of Automatic Control and Systems Engineering UPB Romania Applied Cybernetics SINTEF IKT Norway

This paper addresses a novel combination between mixed-integer representations and potential field constructions for typical multi-agent marine control problems. First, we prove that for any kind of repulsive functions applied over a function which we denote as sum function, the feasible domain is piece-wise affine (PWA). Next, concepts like hyperplane arrangements together with potential field approaches are used for providing an efficient description of the feasible non-convex domain. This combination offers an original and beneficent computation of control laws under non-convex constraints. Simulation results over a common application of obstacle avoidance, which can be extended for unmanned surface vehicles, prove the effectiveness of the proposed approach. © 2016

关键词： Integer programming Collision avoidance Multi agent systems Autonomous Vehicles Convex domains Hyperplane arrangements Marine control Mixed integer Mixed integer programming Non convex constraints Potential field

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On corner cutting in multi-obstacle avoidance problems

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IFAC-PapersOnLine 2015年第23期48卷 185-190页

作者： Stoican, Florin Ingar Grøtli, Esten Prodan, Ionela Oar, Cristian Department of Automatic Control and Systems Engineering UPB Romania Applied Cybernetics SINTEF IKT Norway Grenoble INP France

One challenging and not extensively studied issue in obstacle avoidance is the corner cutting problem. Avoidance constraints are usually imposed at the sampling time without regards to the intra-sample behavior of the dynamics. This paper improves upon state of the art by describing a multi-obstacle environment over a hyperplane arrangement scaffolding, provides a piecewise description of the «shadow» regions and represents them into a combined mixed integer and predictive control formulation. Furthermore, over-approximation constraints which reduce to strictly binary formulations are discussed in detail. Illustrative proofs of concept, comparisons with the state of the art and simulation results over a classical multi-obstacle avoidance problem validate the benefits of the proposed approach. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Integer programming Geometry Model predictive control Predictive control systems Scaffolds Corner cutting Hyperplane arrangements Mixed integer Mixed integer programming (MIP) Multi obstacle environment Predictive control Sampling time State of the art

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