A Logic of Blockchain Updates

Brünnler, Kai; Flumini, Dandolo; Studer, Thomas

doi:10.1007/978-3-319-72056-2_7

Cited by 11 publications

(5 citation statements)

References 20 publications

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“…26 For instance, the virtual Amazon assistant Alexa provides support to the policyholders of an American insurer in case of hurricanes with the aim of damage prevention (BaFin 2018a). a forage-proof data carrier, it implies high costs that seem economically reasonable for only limited use cases (Brünnler 2018).…”

Section: Discussionmentioning

confidence: 99%

How digitalization affects insurance companies: overview and use cases of digital technologies

Eckert

Osterrieder

2020

ZVersWiss

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The digital transformation is of increasing relevance for insurance companies’ business models. It leads to opportunities as well as challenges, especially for IT departments as core enablers or preventers. Against this background, the aim of this paper is to provide a comprehensive overview of digital technologies (e.g., artificial intelligence, cloud computing) and the resulting use cases for the insurance industry. To this end, we conduct a review of academic articles, industry studies and publications of the supervisory authorities. We point to the resulting requirements for an insurer’s IT and find many interdependencies between the digital technologies. Our results therefore emphasize the importance of a holistic digital strategy.

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Section: Discussionmentioning

confidence: 99%

How digitalization affects insurance companies: overview and use cases of digital technologies

Eckert

Osterrieder

2020

ZVersWiss

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“…Bitcoin, a prominent cryptocurrency, utilizes peer-topeer technology to enable direct transactions between users without intermediaries such as banks or credit card companies (Smith & Kumar, 2018). Brünnler et al (2018) noted that systems lacking central control could fall prey to double or multiple spending issues. However, this risk is mitigated in Bitcoin's case due to blockchain's detailed, public transaction records.…”

Section: Blockchain and Trusting Recordsmentioning

confidence: 99%

From Data Transparency and Security to Interfirm Collaboration-A Blockchain Technology Perspective

Huang

Lo²,

Sutthiphisal³

2023

ABAC J

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In recent years, blockchain technology has gained significant attention and recognition in both academic and practical contexts, due to its remarkable attributes of scalability, security, and sustainability. However, despite the growing interest, there is still a lack of exploration regarding the potential of blockchain to improve data transparency, enhance information security, and facilitate knowledge sharing. To address this gap, this study conducts a focused review of recent studies to examine precisely these aspects of blockchain technology. Various paradigms that highlight how the utilization of blockchain can enhance data transparency, bolster information security, and enable seamless knowledge sharing among organizations, are identified and proposed. These advancements surpass the capabilities of traditional methods of storing and sharing information.

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“…An IoT security system interacts with numerous internal and external devices that can be a proxy for intruder driven vulnerability. We have adopted a decentralized peer-to-peer network-oriented private blockchain [11] because it permits one institute to administer the network. That establishes controls about who is permissible to contribute to the network, implement a unanimity protocol and sustain the pooled ledger.…”

Section: Node Security Using Blockchainmentioning

confidence: 99%

Context-Aware Autonomous Security Assertion for Industrial IoT

et al. 2020

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The Industrial Internet of Things (IIoT) platform consists of purpose-driven communication controllers, enterprise-grade modems (routers and gateways), and edge computing systems that require integrated software and sensing capability in mission-critical environments. Extensible purpose-built industrial supervisory control and data acquisition networks are prone to numerous cybersecurity threats. In this paper, the historical databased qualitative threat assessment was part of the comprehensive risk breakdown (i.e., to quantify assessment and remediation) of the practicing industry (i.e., systems that rely on robotics, big data & analytics). Furthermore, a risk and operability (HAZOP & convolution neuralnetwork) evaluation was proved to be the paramount study for autonomous vulnerability assessment. Through autonomous network management, continuous software monitoring, data-driven device insights, and integrated content filtering, the proposed endpoint protection scheme shows significant improvement in preventing data breaches, denial of service (DoS), and malware detection. A distinctive computational methodology to determine the cyber risk for industrial structures with IoT-explicit control factors has been programmed and elucidated in the perspective of IIoT systems. Firmware driven emulation (integrated and optimized) outcome aided to reduce breach ratio, better incident detection, and enhanced protection of confidential data.

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A Logic of Blockchain Updates

Cited by 11 publications

References 20 publications

How digitalization affects insurance companies: overview and use cases of digital technologies

How digitalization affects insurance companies: overview and use cases of digital technologies

From Data Transparency and Security to Interfirm Collaboration-A Blockchain Technology Perspective

Context-Aware Autonomous Security Assertion for Industrial IoT

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