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The set of transactions that occurs on the public ledger of an Ethereum network in a specific time frame can be represented as a directed graph, with vertices representing addresses and an edge indicating the interaction between two addresses.
While there exists preliminary research on analyzing an Ethereum network by the means of graph analysis, most existing work is focused on either the public Ethereum Mainnet or on analyzing the different semantic transaction layers using
static graph analysis in order to carve out the different network properties (such as interconnectivity, degrees of centrality, etc.) needed to characterize a blockchain network. By analyzing the consortium-run bloxberg Proof-of-Authority (PoA) Ethereum network, we show that we can identify suspicious and potentially malicious behaviour of network participants by employing statistical graph analysis. We thereby show that it is possible to identify the potentially malicious
exploitation of an unmetered and weakly secured blockchain network resource. In addition, we show that Temporal Network Analysis is a promising technique to identify the occurrence of anomalies in a PoA Ethereum network.
Mehr als 50 Milliarden physische Objekte sollen bis 2020 mit dem Internet verbunden sein. Diese reichen von kleinen und rechenarmen RFID-Systemen bis zu komplexen Geräten wie Smartphones, intelligenten Geräten und Fahrzeugen.
Für dieses Internet of Things (IoT) bedarf es eines Systemvertrauens, da die Nutzung intelligenter Dienste über das Internet ohne menschliches Eingreifen geschieht. Heute vorhandene zentrale Vertrauensinstanzen für IoT verlieren aufgrund von Hacker- und Cyberangriffen ihr Vertrauen. Mit der Blockchain existiert eine Vertrauensarchitektur, die es dem Menschen erlaubt, einem System und seinen Komponenten, und nicht einer zentralen Instanz zu vertrauen. Kann die Symbiose von Blockchain und IoT Vertrauen generieren? Dieser Artikel präsentiert eine systematische Literaturübersicht zum Konzept Vertrauen im Kontext der Blockchain-Technologie für das IoT und deren Geschäftsmodelle.
Das Ziel dieses Beitrags ist die Darstellung der aktuellen Entwicklungen im Zusammenspiel von Blockchain und IoT, um diese als Blaupause für die Schaffung von Vertrauen in weiteren Anwendungsfeldern nutzen zu können.
After creating a new blockchain transaction, the next step usually is to make miners aware of it by having it propagated through the blockchain’s peer-to-peer network. We study an unintended alternative to peer-to-peer propagation: Exclusive mining. Exclusive mining is a type of collusion between a transaction initiator and a single miner (or mining pool). The initiator sends transactions through a private channel directly to the miner instead of propagating them through the peerto-peer network. Other blockchain users only become aware of these transactions once they have been included in a block by the miner. We identify three possible motivations for engaging in exclusive mining: (i) reducing transaction cost volatility (“confirmation as a service”), (ii) hiding unconfirmed transactions from the network to prevent frontrunning and (iii) camouflaging wealth transfers as transaction costs to evade taxes or launder money. We further outline why exclusive mining is difficult to prevent and introduce metrics which can be used to identify mining pools engaging in exclusive mining activity.
In der Anfangszeit der Distributed Ledger Technologies (DLT) waren die hauptsächlichen Betrachtungswinkel die der Disruption des Bank- und Finanzwesens.
Mit dem Aufkommen des Systems Ethereum im Jahr 2015, hat die Auseinandersetzung mit der Anwendung von Blockchain in weiteren Branchen, an Bedeutung gewonnen. Eine davon ist die Logistik und das Supply Chain Management (SCM). Gerade in Deutschland spielt der Logistiksektor eine große Rolle, nach der Beschäftigtenzahl ist er die drittgrößte Branche und erzielt einen Umsatz von rund 258 Milliarden Euro. Im Beitrag werden konkrete Anwendungsfelder identifiziert und gezeigt welche potentiellen Vorteile sich dort, durch den Einsatz von DLT, erzielen lassen. Ein Schwerpunkt liegt dabei auf der Einschätzung der Technologie hinsichtlich ihrer Sicherheitseigenschaften.
Im Beitrag wird den Fragen nachgegangen, ob Datensicherheit mithilfe von DLT verbessert werden kann und auf welchem Wege.
With the increasing usage of blockchain technology, legal challenges such as GDPR compliance arise. Especially the right of erasure is considered challenging as blockchains are tamperproof by design. Several approaches investigated
possibilities to weaken the tamperproof aspect of blockchains in favor of GDPR compliance. This paper presents several approaches, then focuses on chameleon hash functions by evaluating the possibility to use these specific functions in a private blockchain. The goal of the built system is to take a step towards the digitization of the bill of lading used in international trade. This paper describes the developed software as well as the core considerations around the system such as network design or block structure.
Dieses Paper ist eine überarbeitete Kurzfassung der Bachelorarbeit, welche 2019 von der Autorin unter dem gleichen Titel geschrieben wurde. Sie setzt sich mit der Herausforderung, kleine Zahlungen effizient mithilfe der Blockchain umzusetzen, auseinander. Ziel ist dabei, verschiedene Ansätze vorzustellen und ihr Potenzial zu prüfen. Prinzipiell hat der Einsatz von Micropayment-Schemas das Ziel, (häufige) Zahlungen von Kleinbeträgen in der Abwicklung möglichst effizient zu gestalten. Das Ungleichgewicht, dass die Kosten einer Zahlung den zu zahlenden Betrag übersteigen, gilt es insbesondere auf der Blockchain zu vermeiden. In diesem Paper werden verschiedene Ansätze für Micropayments vorgestellt und nach verschiedenen Punkten untersucht werden. Dabei wird unter anderem Wert auf die Kostenminimierung, Sicherheit und dezentrale Umsetzbarkeit gelegt. Aber auch die Anwendbarkeit und Ressourcenanforderung der verschiedenen Schemata sollen in dieser Arbeit betrachtet werden.
This paper looks at current projects in the field of Blockchain in education, their specific areas of application, possible advantages and weaknesses. Three examples developed by the team of authors are introduced in detail. First: Gallery-Defender a Serious Game, which was adapted to serve as a demonstrator in a stand-alone version to show the possibility to carry out exams directly from within the game and store the grades and meta-data on Blockchain. Second: Art-Quiz, an e-learning tool, which can be integrated into existing LMS systems and map exam results and further data using Blockchain technologies. Both were developed following an iterative design process. And third: The results of a focus group, which simulated the assignment of grades after an oral online exam. The three examples presented here are based on the Blockchain system Ardor/Childchain Ignis, but each demonstrator has a different set of features and approaches.
In addition, the integration of various Blockchain solutions was conceptually designed to make a Multi-Chain model possible.
This paper analyses the status quo of large-scale decision making combined with the possibility of blockchain as an underlying decentralized architecture to govern common pool resources in a collective manner and evaluates them according to their requirements and features (technical and non-technical). Due to an increasing trend in the distribution of knowledge and an increasing amount of information, the combination of these decentralized technologies and approaches, can not only be beneficial for consortial governance using blockchain but can also help communities to govern common goods and resources. Blockchain and its trust-enhancing properties can potenitally be a catalysator for more collaborative behavior among participants and may lead to new insights about collective action and CPRs.
Mathematics behind the Zcash
(2020)
Among all the new developed cryptocurrencies, Zcash comes out to be the strongest cryptocurrency providing both transparency and anonymity to the transactions and its users by deploying the strong mathematics of zk-SNARKs. We discussed the zero knowledge proofs as a building block for providing the functionality to zk-SNARKs. It offers schnorr protocol which is further used in Zcash transactions where the validation of sent transaction is proved by cryptographic proof. Further, we deploy zk-SNARKs following common reference string that allows sender to prove that she knows a secret such that the proof is succinct, can be verified and does not leak the secret. Non-malleability, small proofs and effective verification make zk-SNARKs a classic tool in Zcash. We deal with NP problems therefore we have considered the elliptic curve cryptography to provide the security. Lastly, we explain Zcash transaction, the corresponding transaction completely hides the sender, receiver and amount of transaction using zero knowledge proof.
To enable smart devices of the internet of things to be connected to a blockchain, a blockchain client needs to run on this hardware. With the Trustless Incentivized Remote Node Network, in short Incubed, it will be possible to establish a decentralized and secure network of remote nodes, which enables trustworthy and fast access to a blockchain for a large number of low-performance IoT devices. Currently, Incubed supports the verification of Ethereum data. To serve a wider audience and more applications this paper proposes the verification of Bitcoin data as well, which can be achieved due to the modularity of Incubed. This paper describes the proof data that is necessary for a client to prove the correctness of a node’s response and the process to verify the response by using this proof data as well. A proof-object which contains the proof data will be part of every response in addition to the actual result. We design, implement and evaluate Bitcoin verification for Incubed. Creation of the proof data for supported methods (on the server-side) and the verification process using this proof data (on the client-side) has been demonstrated. This enables the verification of Bitcoin in Incubed.