Dual-homomorphic message authentication code scheme for network coding-enabled wireless sensor networks

Network coding has shown a considerable improvement in terms of capacity and robustness compared to traditional store-and-forward transmission paradigm. However, since the intermediate nodes in network coding-enabled networks have the ability to change the packets en route, network coding-enabled networks are vulnerable to pollution attacks where a small number of polluted messages can corrupt bunches of legitimate messages. Recently, research effort has been put on schemes for protecting the transmitted messages against data pollution attacks. However, most of them cannot resist tag pollution attacks. This paper presents a new homomorphic MAC-based scheme, called Dual-Homomorphic MAC (Dual-HMAC), for network coding-enabled wireless sensor networks. The proposed scheme makes use of two types of tags (i.e., MACs and D-MACs) to provide resistance against data pollution attacks and partially tag pollution attacks. Furthermore, our proposed scheme presents low communication overhead and low computational complexity compared to other existing schemes

An efficient MAC-based scheme against pollution attacks in XOR network coding-enabled WBANs for remote patient monitoring systems

Wireless Body Area Networks (WBANs) play a pivotal role to remote patient monitoring which is one of the main applications of m-Health. However, WBANs comprise a subset of Wireless Sensor Networks (WSNs), and thus, they inherit the limitations of WSNs in terms of communication bandwidth, reliability and power consumption that should be addressed so that WBANs can reach their full potential. Towards this direction, XOR Network Coding (NC) is a promising solution for WBANs. Nevertheless, XOR NC is vulnerable to pollution attacks, where adversaries (i.e., compromised intermediate nodes) inject into the network corrupted packets that prevent the destination nodes from decoding correctly. This has as a result not only network resource waste but also energy waste at the intermediate nodes. In this sense, pollution attacks comprise a serious threat against WBANs (i.e., resource-constrained wireless networks), that should be addressed so that WBANs can reap the benefits of XOR NC. Therefore, in this paper, we propose an efficient Message Authentication Code (MAC)-based scheme providing resistance against pollution attacks in XOR NC-enabled WBANs for remote patient monitoring systems. Our proposed scheme makes use of a number of MACs which are appended to the end of each native packet. Our results show that the proposed MAC-based scheme is more efficient compared to other competitive schemes for securing XOR NC against pollution attacks in resource-constrained wireless networks, in terms of communication bandwidth and computational complexity

TESLA-Based Homomorphic MAC for Authentication in P2P System for Live Streaming with Network Coding

Recently, the peer-to-peer (P2P) live streaming system has benefited from the advent of network coding. However, it was demonstrated that malicious nodes could significantly reduce the network throughput by launching pollution attacks or entropy attacks. In this paper, we propose an efficient symmetric-key based authentication scheme for P2P live streaming system with network coding, to provide in-network detection against pollution attacks and entropy attacks simultaneously. Since the nature of P2P live streaming requires that the detection scheme has high computation efficiency and small communication overheads, we firstly propose a homomorphic message authentication code (MAC), called as PMAC, which has small key size and low computation overhead. Then, the proposed PMAC and the delayed key disclosure technique are employed to make sure that the peers could not only detect the corrupted blocks, but also upload blocks in accordance with random linear network coding. Furthermore, the performance evaluation demonstrates that the proposed scheme has both low communication and computation overheads

Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023

Jornadas Nacionales de Investigación en Ciberseguridad (8ª. 2023. Vigo)atlanTTicAMTEGA: Axencia para a modernización tecnolóxica de GaliciaINCIBE: Instituto Nacional de Cibersegurida

Designing Data Spaces

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty