On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection

Kolokotronis, Nicholas; Brotsis, Sotirios; Germanos, Georgios; Vassilakis, Costas; Shiaeles, Stavros

doi:10.1109/services.2019.00019

Cited by 32 publications

(14 citation statements)

References 19 publications

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“…Blockchain can be seen as the key technology to provide the fundamental security enhancements to secure the smart home ecosystem and diminish the security concerns regarding the authorisation and authentication, integrity and confidentiality of IoT data, as well as, the single point of failure. However, an essential challenge for the integration of the blockchain technology to the smart home ecosystem is the reliability and the trustworthiness of the IoT data [99,169]. Due to the immutability of blockchains, if the IoT data that are being stored to the blockchain are already corrupted, then they will remain corrupted.…”

Section: Security Requirementsmentioning

confidence: 99%

“…Therefore, applications of blockchain towards enhancing the security and privacy of the IoT have received great attention due to its capacity in providing a fundamentally di erent approach as a distributed, transparent and accountable sys-tem [54,100,169]. Examples of application areas include identity security [24], intrusion detection systems and mitigation of distributed denial-of-service attacks [15,99], data security and digital forensic evidence preservation [2,38], as well as privacy enhancement and management [70,102]. Specifically for the IoT, the security through transparency approach in public blockchains has in many cases clear advantages compared to the usual security through obscurity model.…”

Section: Introductionmentioning

confidence: 99%

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On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

et al. 2021

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Blockchain and distributed ledger technologies have received significant interest in various areas beyond the financial sector, with profound applications in the Internet of Things (IoT), providing the means for creating truly trustless and secure solutions for IoT applications. Taking into account the weak security defences that the majority of IoT devices have, it is critical that a blockchain-based solution targeting the IoT is not only capable of addressing the many challenges IoT is facing, but also does not introduce other defects, e.g. in terms of performance, making its adoption hard to achieve. This paper aims at addressing the above needs by providing a comprehensive and coherent review of the available blockchain solutions to determine their ability to meet the requirements and tackle the challenges of the IoT, using the smart home as the reference domain. Key architectural aspects of blockchain solutions, like the platforms' software and network setups, the consensus protocols used, as well as smart contracts, are examined in terms of their ability to withstand various types of common IoT and blockchain attacks, deliver enhanced privacy features, and assure adequate performance levels while processing large amounts of transactions being generated in an IoT environment. The analysis carried out identified that the defences currently provided by blockchain platforms are not su cient to thwart all the prominent attacks against blockchains, with blockchain 1.0 and 2.0 platforms being susceptible to the majority of them. On the other side, privacy related mechanisms are being supported, to varying degrees, by all platforms investigated; however, each of the them tackles specific only privacy aspects, thus rendering the overall privacy evaluation a challenging task which needs to be considered in an ad-hoc basis. If the underlying consensus protocols' performance and fault tolerance is also considered, then only a small number of platforms meet the requirements of our reference IoT domain. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 786698. The work reflects only the authors' view and the Agency is not responsible for any use that may be made of the information it contains.

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Section: Security Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

et al. 2021

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“…The report emphasized that all teams and their members automatically adhere to company governance, compliance, and data-centric privacy and security policies upon creation. In such instances, a trust-based blockchain can be a good solution to protect the integrity of the information shared among the collaborative network peers, increasing their liability, and protecting their association by thwarting insider attacks [75]. Intrusion detection system (IDS) deployment can also become vulnerable to insider threats due to its interconnected and distributed nature [76].…”

Section: Collaborative Insider Threatmentioning

confidence: 99%

Impact and Key Challenges of Insider Threats on Organizations and Critical Businesses

et al. 2020

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The insider threat has consistently been identified as a key threat to organizations and governments. Understanding the nature of insider threats and the related threat landscape can help in forming mitigation strategies, including non-technical means. In this paper, we survey and highlight challenges associated with the identification and detection of insider threats in both public and private sector organizations, especially those part of a nation’s critical infrastructure. We explore the utility of the cyber kill chain to understand insider threats, as well as understanding the underpinning human behavior and psychological factors. The existing defense techniques are discussed and critically analyzed, and improvements are suggested, in line with the current state-of-the-art cyber security requirements. Finally, open problems related to the insider threat are identified and future research directions are discussed.

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“…These issues may be addressed while using clear and simple semantics. As trust management mechanisms have been widely studied in various research fields [21], it is now commonly accepted that the seamless integration of trust management mechanisms in IoT is needed [22,23]. The recommendation and standardization of a well-defined trust negotiation language supporting the semantic interoperability of IoT context is a challenging and open IoT-trust modelling and management topic [24,25].…”

Section: Virtual Entities: Iot Management and Trustful Interactionsmentioning

confidence: 99%

A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems

Vassilakis

Kotis

Spiliotopoulos

et al. 2020

BDCC

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This paper presents SemMR, a semantic framework for modelling interactions between human and non-human entities and managing reusable and optimized cultural experiences, towards a shared cultural experience ecosystem that might seamlessly accommodate mixed reality experiences. The SemMR framework synthesizes and integrates interaction data into semantically rich reusable structures and facilitates the interaction between different types of entities in a symbiotic way, within a large, virtual, and fully experiential open world, promoting experience sharing at the user level, as well as data/application interoperability and low-effort implementation at the software engineering level. The proposed semantic framework introduces methods for low-effort implementation and the deployment of open and reusable cultural content, applications, and tools, around the concept of cultural experience as a semantic trajectory or simply, experience as a trajectory (eX-trajectory). The methods facilitate the collection and analysis of data regarding the behaviour of users and their interaction with other users and the environment, towards optimizing eX-trajectories via reconfiguration. The SemMR framework supports the synthesis, enhancement, and recommendation of highly complex reconfigurable eX-trajectories, while using semantically integrated disparate and heterogeneous related data. Overall, this work aims to semantically manage interactions and experiences through the eX-trajectory concept, towards delivering enriched cultural experiences.

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On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection

Cited by 32 publications

References 19 publications

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

Impact and Key Challenges of Insider Threats on Organizations and Critical Businesses

A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems

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