Dominik Engel

Dominik Engel
Fachhochschule Salzburg · Center for Secure Energy Informatics

Prof. (FH) Dr.

About

104
Publications
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1,475
Citations

Publications

Publications (104)
Article
Anisotropic wavelet packets present a flexible transform with interesting properties and applications. While certain aspects of this transform have been investigated in conjunction with applications, this paper aims at providing a basic theoretical framework for working with anisotropic wavelet packets. Random decompositions are developed which hav...
Article
Full-text available
Two lightweight encryption schemes for fingerprint images based on a bit-plane representation of the data are assessed. We demonstrate a low complexity attack against a scheme recently proposed in literature which exploits one of several weaknesses found. A second scheme is evaluated with respect to two fingerprint recognition systems and recommend...
Conference Paper
It has been shown that information about a consumer's actions, beliefs and preferences can be extracted from high resolution load data. This information can be used in ways that violate consumer privacy. In order to increase consumer control over this information, it has been suggested that load data be represented in multiple resolutions, with eac...
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Electric vehicles (EVs) are gaining widespread adoption, which requires expanding the charging infrastructure. This infrastructure is part of a complex ecosystem that consists of multiple entities interacting with each other and exchanging (often personal) user data. Such a heterogeneous system with multiple participants exchanging personal data po...
Conference Paper
The increasing amount of electric vehicles and a growing electric vehicle ecosystem is becoming a highly heterogeneous environment with a large number of participants that interact and communicate. Finding a charging station, performing vehicle-to-vehicle charging or processing payments poses privacy threats to customers as their location and habit...
Conference Paper
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Blockchain technology has attracted attention in the energy domain as a new decentralized infrastructure, with startups and researchers presenting new solutions to bring the benefits of decentralization to energy-related use cases. However , blockchains, or more specifically, public permissionless blockchains do not scale well. Scalability of block...
Conference Paper
Decentralized identifiers and verifiable credentials have been proposed as a self-sovereign and privacy-friendly alternative to centralized and proprietary authentication services. Currently, a W3C standard exists that attempts to unify existing proposals and to find a common layer for decentralized identification and verification. However, there a...
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Electrical networks of transmission system operators are mostly built up as isolated networks without access to the Internet. With the increasing popularity of smart grids, securing the communication network has become more important to avoid cyber-attacks that could result in possible power outages. For misuse detection, signature-based approaches...
Chapter
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Paper documents are still very common for all types of records of personal achievements, ID cards and many other types documents issued to an individual or a company. These paper documents, however, often come at the cost of expensive printing and issuing, loss of data or malicious counterfeits. The origin and integrity is often hard or even imposs...
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Abstract A growing demand in sustainable energy harvested from renewable resources, such as wind or solar power, leads to new challenges in the electricity grid, which in future is also referred to as the smart grid. This also reflects in a more decentralized and diverse energy market. In such a market, prices do not only depend on production and d...
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The mission to move from fossil to renewable energy sources is accompanied and enabled by the digitalization of our energy systems. With the introduction of information and communication technologies, the widespread integration of distributed, renewable sources, even in the distribution grid, are enabled. New use cases such as fast EV charging, loc...
Article
New network tariffs designed to recover grid operating costs can introduce up to a 500% increase in charges for some households. A transition from volumetric to peak-load-based tariffs will require targeted policy measures such as clear price signals, information about household electricity consumption and temporary compensation or mitigation mecha...
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Abstract Optimizing energy consumption in local energy communities is one of the key contributions to the so-called smart grid. Such communities are equipped with rooftop photovoltaic power plants or other forms of small power plants for local energy production. In addition, a number of appliances allow for shiftable energy consumption, e.g., heat...
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Recently, first methods for holiday detection from unsupervised low-resolution smart metering data have been presented. However, due to the unsupervised nature of the problem, previous work only applied the algorithms on a few typical cases and lacks a systematic validation. This paper systematically validates the existing algorithm by visual inspe...
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Abstract Blockchains are proposed for many application domains apart from financial transactions. While there are generic blockchains that can be molded for specific use cases, they often lack a lightweight and easy-to-customize implementation. In this paper, we introduce the core concepts of blockchain technology and investigate a real-world use c...
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Despite the large number of privacy-preserving aggregation protocols in the Smart Grid, there is no common methodology for evaluating and comparing their privacy guarantees. Protocol discussion often lacks a formal evaluation of the proposed privacy guarantees. In order to transfer the well-established formal methodology of game-based proofs to the...
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Growing self-generation and storage are expected to cause significant changes in residential electricity utilization patterns. Commonly applied volumetric network tariffs may induce imbalance between different groups of households and their respective contribution to recovering the operating costs of the grid. Understanding consumer behaviour and a...
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Electric vehicles are gaining widespread adoption and are a key component in the establishment of the smart grid. Beside the increasing number of electric vehicles, a dense and widespread charging infrastructure will be required. This offers the opportunity for a broad range of different energy providers and charging station operators, both of whic...
Chapter
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The smart grid changes the way how energy and information are exchanged and offers opportunities for incentive-based load balancing. For instance, customers may shift the time of energy consumption of household appliances in exchange for a cheaper energy tariff. This paves the path towards a full range of modular tariffs and dynamic pricing that in...
Article
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The availability of individual load profiles per household in the smart grid end-user domain combined with non-intrusive load monitoring to infer personal data from these load curves has led to privacy concerns. Privacy-enhancing technologies have been proposed to address these concerns. In this paper, the extension of privacy-enhancing technologie...
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The collection of detailed consumption data through smart metering has led to privacy concerns. Aggregating the consumption data over a number of smart meters can be used to strike a balance between functional and privacy requirements. A number of contributions have proposed the use of differential privacy in smart metering to perturb aggregates in...
Conference Paper
In smart grids, both, low-frequency and high-frequency measurements are performed in households for a variety of use cases. While several compressibility studies of this data have been conducted in the literature, lossless compression of high-frequency data has not yet been covered. In this paper, high-frequency voltage and current data is processe...
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The deployment of future energy systems promises a number of advantages for a more stable and reliable grid as well as for a sustainable usage of energy resources. The efficiency and effectiveness of such smart grids rely on customer consumption data that is collected, processed and analyzed. This data is used for billing, monitoring and prediction...
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In liberalized energy markets, matching consumption patterns to energy tariffs is desirable, but practically limited due to privacy concerns, both on the side of the consumer and on the side of the utilities. We propose a protocol through which a customer can obtain a better tariff with the help of their smart meter and a third party, based on priv...
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The development of Smart Grid systems has proven to be a challenging task. Besides the inherent technical complexity, the involvement of different stakeholders from different disciplines is a major challenge. In order to maintain the strict security requirements, holistic systems engineering concepts and reference architectures are required that en...
Article
Particularly with respect to coordinating power consumption and generation, demand response (DR) is a vital part of the future smart grid. Even though, there are some DR simulation platforms available, none makes use of game theory. This paper proposes Okeanos, a fundamental, game theoretic, Java-based, multi-agent software framework for DR simulat...
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The availability of individual load curves per household in the smart grid end-user domain combined with nonintrusive load monitoring (NILM) to infer personal data from these load curves has led to privacy concerns. Based on insights of the interrelation of load profile resolution and accuracy of NILM techniques, we propose the use of the wavelet t...
Conference Paper
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The generic Smart Grid Architecture Model SGAM can act as a reference designation system in order to describe smart grid (technical) use cases as well as business cases. After having been applied successfully in the M/490 mandate and various FP7 projects, first adaptations of the model in other domains and scopes have been tried out. In this overvi...
Article
The authors propose a framework to encrypt Baseline JPEG files directly at bitstream level, i.e., without the need to recompress them. The authors' approach enables encrypting more than 25 pictures per second in VGA resolution, allowing real-time operation in typical video surveillance applications. In addition, their approach preserves the length...
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In diesem Beitrag wird erläutert, welche Aspekte des Datenschutzes beim Smartmeter Einsatz für die Stromkunden von Bedeutung sind. Die Ergebnisse einer Untersuchung bei Salzburger Stromkunden werden analysiert und daraus für die technische Umsetzung von Smart Grid Anwendungen erfolgversprechende Konzepte entwickelt.
Article
We propose an encryption framework design and implementation which add region-of-interest encryption functionality to existing video surveillance systems with minimal integration and deployment effort. Apart from region-of-interest detection, all operations take place at bit-stream level and require no re-compression whatsoever. This allows for ver...
Conference Paper
Demand response (DR) is a crucial and necessary aspect of the smart grid, particularly when considering the optimization of both, power consumption and generation. While many benefits of DR are currently under study, an issue of particular concern is optimizing end-users' power consumption profiles at various levels. This study proposes a fundament...
Conference Paper
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Privacy in Smart Metering has been discussed extensively, as have privacy enhancing technologies (PETs). However, neither of these items has been put into the perspective of the actual use cases at hand. This perspective is crucial to (i) map the correct PETs to each use case and to (ii) identify gaps, i.e., use cases which are privacy-relevant, bu...
Conference Paper
The Smart Grids requires distributed components to control the demand side. These components have to fulfill various requirements from communication issues to graphical user interfaces for monitoring and controlling. In this paper, we define high level requirements to software architectures for Customer Energy Management Systems and evaluate some e...
Conference Paper
Demand response (DR) management is one of the key applications of future energy systems. Most of the corresponding models and algorithms require data communication between different smart grid network components to work efficiently. In this paper, 31 contributions from literature are evaluated with respect to their data communication requirements....
Article
We propose a compression approach for load profile data, which addresses practical requirements of smart metering. By providing linear time complexity with respect to the input data size, our compression approach is suitable for low-complexity encoding and decoding for storage and transmission of load profile data in smart grids. Furthermore, it al...
Conference Paper
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The smart grid changes the way energy is produced and distributed. In addition both, energy and information is exchanged bidirectionally among participating parties. Therefore heterogeneous systems have to cooperate effectively in order to achieve a common high-level use case, such as smart metering for billing or demand response for load curtailme...
Conference Paper
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In a smart grid, data and information are trans-ported, transmitted, stored, and processed with various stake-holders having to cooperate effectively. Furthermore, personal data is the key to many smart grid applications and therefore privacy impacts have to be taken into account. For an effective smart grid, well integrated solutions are crucial a...
Conference Paper
The smart grid paves the way to a number of novel applications that benefit a variety of stakeholders including network operators, utilities and customers as well as third party developers such as electric vehicle manufacturers. In order to roll out an integrated and connected grid that combines energy and information flows and that fosters bidirec...
Conference Paper
A vast volume of data is generated through smart metering. Suitable compression mechanisms for this kind of data are highly desirable to better utilize low-bandwidth links and to save costs and energy. To date, the important factor of data resolution has been neglected in the compression of smart meter data. In this paper, we review and evaluate co...
Article
Full-text available
Through smart metering in the smart grid end-user domain, load profiles are measured per household. Personal data can be inferred from these load profiles by using nonintrusive appliance load monitoring methods, which has led to privacy concerns. Privacy is expected to increase with longer intervals between measurements of load curves. This paper s...
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The Smart Grid Architecture Model (SGAM) is widely used for modelling, requirements engineering and gap analysis. In this paper, a formal method for engineering security requirements with SGAM is proposed. Asset security classes, risks and vulnerabilities are modelled formally and a method for deducing security requirements from these entities in t...
Conference Paper
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vorname.nachname]@en-trust.at Kurzfassung Die fortschreitende Entwicklung des Energiesystems hin zu einem Smart Grid führt zu einem kontinuierlichen Anstieg an Komplexität in der Domäne der Energieversorgung. Eine Vielzahl interagierender und systemübergreifender Anwen-dungsfälle erfordern adäquate Methoden und Prozesse zur Beherrschung der Komplex...
Conference Paper
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Kurzfassung Model Driven Engineering basierend auf dem europäischen Smart Grid Architecture Model (SGAM) hat sich als ein Best-Practice-Ansatz zur Realisierung komplexer Smart Grid Projekte erwiesen. In diesem Beitrag wird eine Erweiterung dieses Ansatz für Smart City Systeme vorgeschlagen. Es wird dargelegt, dass durch die Komplexität der beteilig...
Conference Paper
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The complexity of today's power systems is continuously increasing due to the paradigm shift towards Smart Grids. This leads to a large number of use cases that need to be covered by holistic future energy systems of which power grids are just one subsystem. However, providing information about those use cases in a structured way in order to obtain...
Article
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Decreasing time resolution is the simplest possible privacy enhancing technique for energy consumption data. However, its impact on privacy analyses of load signals has never been studied systematically. Non-intrusive appliance load monitoring algorithms (NIALM) have originally been designed for energy disaggregation for subsequent energy feedback....
Article
Die Energiewende ist gesellschaftlicher und politischer Konsens. Damit sie gelingen kann, ist eine Modernisierung der Energienetze notwendig, die die Einspeisung dezentraler Erzeuger ermöglicht. Dazu sind detaillierte Informationen zum aktuellen Netzzustand erforderlich. Die Informations- und Kommunikationstechnologie (IKT) bietet die Methoden, übe...
Conference Paper
Full-text available
The complexity in electrical power systems is continuously increasing due to its advancing distribution. This affects the topology of the grid infrastructure as well as the IT-infrastructure, leading to various heterogeneous systems, data models, protocols, and interfaces. This in turn raises the need for appropriate processes and tools that facili...
Conference Paper
Demand response management is one of the key applications of future energy systems. Most of the corresponding models and algorithms require a certain amount of user interaction to define appliances and rules for these processes. In this paper we implemented a cloud-based demand response approach to evaluate its efficiency depending on users input d...