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From computer systems to power systems: using stochastic network calculus for flexibility analysis in power systems

Energy Informatics 2023年第1期6卷 36页

作者： Fürmann, Tim Lechl, Michael de Meer, Hermann Weidlich, Anke University of Freiburg Emmy-Noether-Straße 2 Freiburg im Breisgau79110 Germany Chair of Computer Networks and Communications University of Passau Innstrasse 43 Passau94032 Germany

As power systems transition from controllable fossil fuel plants to variable renewable sources, managing power supply and demand fluctuations becomes increasingly important. Novel approaches are required to balance these fluctuations. The problem of determining the optimal deployment of flexibility options, considering factors such as timing and location, shares similarities with scheduling problems encountered in computer networks. In both cases, the objective is to coordinate various distributed units and manage the flow of either data or power. Among the methods for scheduling and resource allocation in computer networks, stochastic network calculus (SNC) is a promising approach that estimates worst-case guarantees for Quality of Service (QoS) indicators of computer networks, such as delay and backlog. Promising QoS indicators in the power system are given by the amount of stored energy, the serviced demand, and the demand elasticity. In this work, we investigate SNC for its capabilities and limitations to quantify flexibility service guarantees in power systems. We generate and aggregate stochastic envelopes for random processes, which was found useful for modeling flexibility in power systems at multiple time scales. In a case study on the reliability of a solar-powered car charging station, we obtain similar results as from a mixed-integer linear programming problem, which provides confidence that the chosen SNC approach is suitable for modeling power system flexibility. © 2023, The Author(s).

关键词： Quality of service

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Testing and Exploiting Tools to Improve OWASP Top Ten Security Vulnerabilities Detection 14

Testing and Exploiting Tools to Improve OWASP Top Ten Securi...

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14th IEEE International Conference on Computational Intelligence and Communication networks, CICN 2022

作者： Aljabri, Malak Aldossary, Maryam Al-Homeed, Noor Alhetelah, Bushra Althubiany, Malek Alotaibi, Ohoud Alsaqer, Sara Saudi Aramco Cybersecurity Chair College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Networks and Communications Department Dammam Saudi Arabia College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Networks and Communications Department Dammam Saudi Arabia

ISBN: (纸本)9781665487719

In many different sorts of businesses, including public and private, government, critical infrastructures, etc., web apps have grown recently. Therefore, securing web applications is a major concern to protect businesses from loss and unauthorized access to sensitive information. Developers use vulnerable thirdparty modules or components or create programming security flaws themselves and occasionally work with tight budgets. These situations frequently cause people to overlook a crucial aspect of development life cycle security. This paper studies and tests the currently available web security and exploitation tools of OWASP's top ten security vulnerabilities. The main aim of this paper is to improve the detection of OWASP's top ten security vulnerabilities by proposing an exploitation and detection tool that combined features of the tools that has been tested in the paper. © 2022 IEEE.

关键词： Life cycle

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Modeling and Application of Self-Organizing Systems

Modeling and Application of Self-Organizing Systems

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International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

作者： Richard Holzer Hermann de Meer University of Passau Chair for Computer Networks and Computer Communications Passau Germany

This tutorial gives an overview about mathematical modeling methods for complex and self-organizing systems. Modeling can be used for the analysis and optimization of existing systems and for the design and engineering of new systems. In this tutorial we classify modeling methods into macro-level modeling and micro-level modeling. By using a micro-level model, the behaviors of all entities of the system and the interactions between these entities have to be specified. The state space of such a model is the Cartesian product of the state spaces of each entity. For a macro level, many micro-level states are aggregated into a single macro-level state. The macro level model describes only the behavior of the variables of interest. Another classification for modeling methods is the time space: The advance of time can either be modeled discrete or continuous. This tutorial contains short introductions to some modeling methods (e.g. Markov chains, cellular automata, recurrence equations, differential equations) and a discussion about their possibilities for analysis, optimization, design and engineering of self-organizing systems. The applicability of the modeling methods are demonstrated in some use cases.

关键词： Differential equations Markov processes Mathematical model Eigenvalues and eigenfunctions Asymptotic stability Stability analysis Tutorials

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Sensor-based identification to detect counterfeit smartphones using Blockchain

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 16521-16538页

作者： Almuhaideb, Abdullah M. Alsunaidi, Shikah J. Department of Networks and Communications College of Computer Science and Information Technology SAUDI ARAMCO Cybersecurity Chair Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam31441 Saudi Arabia Department of Computer Science College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam31441 Saudi Arabia

The rapid growth of the technology sector and the increasing need to own smartphones contributed to the increase in the rate of smartphones theft, as well as the sale of counterfeit or substandard devices. The Internet provides many tools and tutorials that show the criminal how to manipulate the identity of a stolen device to prevent tracking or detection, as well as to help him/her unlock/unblock the device. Consequently, the likelihood of recovering or finding stolen smartphones is significantly reduced. There are many challenges during the development of a security solution to this problem, the most important of which is the limited smartphone resources. In this paper, we propose a new device identification approach considering the challenges of the smartphone identification process. It utilizes the sensor calibration-based identity as a device fingerprint and the Blockchain technology to manage the fingerprint. The comparisons with related solutions showed that our proposed method can balance between all solution requirements including compatibility with resource-constrained devices, fulfilling of the device identification, and the security requirements to detect counterfeit smartphones. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Smartphones

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Regional Differences in Configurations of Energy Communities: Future Scenarios and Policy Implications 24

Regional Differences in Configurations of Energy Communities...

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Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems

作者： David Reihs Friederich Kupzog Hermann De Meer Center for Energy AIT - Austrian Institute of Technology Austria and Chair of Computer Networks and Computer Communications University of Passau Germany Center for Energy AIT - Austrian Institute of Technology Austria Chair of Computer Networks and Computer Communications University of Passau Germany

ISBN: (纸本)9798400704802

Local energy communities can enable end customers to increase the use of renewable energy through sharing, trading and joint investments. These energy communities will have an impact on load flows and grid utilization. However, it is challenging to predict the configurations of energy communities that will be present in future power systems. This paper presents simulation models for distributed generation, storage and consumption technologies in energy communities. An agent-based energy market is implemented to consider effects of local energy sharing. Different heuristic control scenarios are considered to investigates the effects of demand response in energy communities. The simulation is coupled with a Mixed Integer Linear Programming optimization of the energy resource sizing problem. The presented sizing approach is applied in a case study of six realistic energy communities in Austria. Policy implications on local generation and storage capacities are investigated in a multitude of scenarios.

关键词： Distributed Energy Generation Energy Communities Energy Storage Sizing

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Proposed Biometric Security System Based on Deep Learning and Chaos Algorithms

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computers, Materials & Continua 2023年第2期74卷 3515-3537页

作者： Iman Almomani Walid El-Shafai Aala AlKhayer Albandari Alsumayt Sumayh S.Aljameel Khalid Alissa Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Computer Science Department King Abdullah II School of Information TechnologyThe University of Jordan11942Jordan Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Applied CollegeImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Computer Science Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia SAUDI ARAMCO Cybersecurity Chair Networks and Communications DepartmentCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

Nowadays,there is tremendous growth in biometric authentication and cybersecurity ***,the efficient way of storing and securing personal biometric patterns is mandatory in most governmental and private ***,designing and implementing robust security algorithms for users’biometrics is still a hot research area to be *** work presents a powerful biometric security system(BSS)to protect different biometric modalities such as faces,iris,and *** proposed BSSmodel is based on hybridizing auto-encoder(AE)network and a chaos-based ciphering algorithm to cipher the details of the stored biometric patterns and ensures their *** employed AE network is unsupervised deep learning(DL)structure used in the proposed BSS model to extract main biometric *** obtained features are utilized to generate two random chaos *** first random chaos matrix is used to permute the pixels of biometric *** contrast,the second random matrix is used to further cipher and confuse the resulting permuted biometric pixels using a two-dimensional(2D)chaotic logisticmap(CLM)*** assess the efficiency of the proposed BSS,(1)different standardized color and grayscale images of the examined fingerprint,faces,and iris biometrics were used(2)comprehensive security and recognition evaluation metrics were *** assessment results have proven the authentication and robustness superiority of the proposed BSSmodel compared to other existing *** example,the proposed BSS succeeds in getting a high area under the receiver operating characteristic(AROC)value that reached 99.97%and low rates of 0.00137,0.00148,and 3516 CMC,2023,vol.74,no.20.00157 for equal error rate(EER),false reject rate(FRR),and a false accept rate(FAR),respectively.

关键词： Biometric security deep learning AE network 2D CLM cybersecurity and authentication applications feature extraction unsupervised learning

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Redactable signature schemes for trees with signer-controlled non-leaf-redactions

Communications in Computer and Information Science

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communications in computer and Information Science 2014年 455卷 155-171页

作者： Meer, Hermann De Pöhls, Henrich C. Posegga, Joachim Samelin, Kai Chair of Computer Networks and Communications University of Passau Passau Germany Chair of IT-Security University of Passau Passau Germany University of Passau Passau Germany

Redactable signature schemes (RSS) permit to remove parts from signed documents, while the signature remains valid. Some RSSs for trees allow to redact non-leaves. Then, new edges have to be added to the tree to preserve it’s structure. This alters the position of the nodes’ children and may alter the semantic meaning encoded into the tree’s structure. We propose an extended security model, where the signer explicitly controls among which nodes new edges can be added. We present a provably secure construction based on accumulators with the enhanced notions of indistinguishability and strong one-wayness. ©Springer-Verlag Berlin Heidelberg 2014.

关键词： Network security

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Worst-Case Delay Slicing for Time-Sensitive Applications in Softwarized Industrial networks

Worst-Case Delay Slicing for Time-Sensitive Applications in ...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Frimpong Ansah Jürgen Rottmeier Andreas Zirkler Hermann de Meer Chair of Computer Networks and Communications University of Passau Corporate Technology Research in Digitalization and Automation Siemens AG

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

The pervasiveness of network softwarization has drawn keen interest from industrial domain as network convergence becomes increasingly desirable amongst industrial operators. Coupled with the concept of network slicing, operators will be able to tailor resources to applications regardless of the contrast in application requirements. However, while the concept of slicing is prevalent in industrial network circles, the realization of the concept in practical deployment scenarios is rarely emphasized. This paper provides a step-by-step analysis for the creation of dynamic network slices to guarantee real-time deterministic requirements of periodic industrial applications. The objective of the paper is achieved by the design and integration of worst-case delay models in the virtual network embedding problem with a focus on the behavior of time-sensitive forwarding mechanisms introduced in standard Ethernet bridges. The result shows that the approach is able to guarantee delay requirements irrespective of the arrival order of slices.

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Optimal Deep Learning Driven Intrusion Detection in SDN-Enabled IoT Environment

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computers, Materials & Continua 2023年第3期74卷 6587-6604页

作者： Mohammed Maray Haya Mesfer Alshahrani Khalid A.Alissa Najm Alotaibi Abdulbaset Gaddah AliMeree Mahmoud Othman Manar Ahmed Hamza Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia SAUDI ARAMCO Cybersecurity Chair Networks and Communications DepartmentCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies RiyadhSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Warwick UniversityCovetryUK Department of Computer Science Faculty of Computers and Information TechnologyFuture University in Egypt New Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

In recent years,wireless networks are widely used in different *** phenomenon has increased the number of Internet of Things(IoT)devices and their *** IoT has numerous advantages,the commonly-used IoT devices are exposed to cyber-attacks *** scenario necessitates real-time automated detection and the mitigation of different types of attacks in high-traffic *** Software-Defined Networking(SDN)technique and the Machine Learning(ML)-based intrusion detection technique are effective tools that can quickly respond to different types of attacks in the IoT *** Intrusion Detection System(IDS)models can be employed to secure the SDN-enabled IoT environment in this *** current study devises a Harmony Search algorithmbased Feature Selection with Optimal Convolutional Autoencoder(HSAFSOCAE)for intrusion detection in the SDN-enabled IoT *** presented HSAFS-OCAE method follows a three-stage process in which the Harmony Search Algorithm-based FS(HSAFS)technique is exploited at first for feature ***,the CAE method is leveraged to recognize and classify intrusions in the SDN-enabled IoT ***,the Artificial Fish SwarmAlgorithm(AFSA)is used to fine-tune the *** process improves the outcomes of the intrusion detection process executed by the CAE algorithm and shows the work’s *** proposed HSAFSOCAE technique was experimentally validated under different aspects,and the comparative analysis results established the supremacy of the proposed model.

关键词： Internet of things SDN controller feature selection hyperparameter tuning autoencoder

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Schedulability Analysis and GCL Computation for Time-Sensitive networks

Schedulability Analysis and GCL Computation for Time-Sensiti...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Frimpong Ansah Mohamed Amine Abid Hermann de Meer Corporate Technology Research in Digitalization and Automation Siemens AG Munich Germany Chair of Computer Networks and Computer Communications University of Passau Passau Germany

Industrial automation networks are composed of cyber-physical systems where frame delays and jitter influence significantly the quality of communication between control and field devices. Due to these constraints, such systems are often served by dedicated Fieldbus networks which are different from networks for enterprise-level connectivity. However, with the introduction of Time-sensitive Networking standards which are already integrated into IEEE 802.1Q-2018 standards in essential parts, the long expected single converged network for any-type communication in the field, control, and enterprise level is within reach. With it, comes the challenge of synthesizing schedules to obtain parameters for configuring the network bridges for time-triggered communication *** paper provides a scheduling verification, and Gate Control event computation algorithm focused on asserting the viability of scheduling communication services for multiple independent periodic Talker applications on IEEE 802.1Q- Time Sensitive networks as well as the computation of Gate Control Lists for the bridges.

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