Provably secure blockchain privacy-preserving smart contract centric dynamic group key agreement for large WSN

Naresh, Vankamamidi S.; Allavarpu, V. V. L. Divakar; Reddi, Sivaranjani

doi:10.1007/s11227-021-04175-8

Cited by 11 publications

(9 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blockchain is a distributed ledger technology supported by computer technologies such as distributed data storage [ 13 , 14 ], peer-to-peer network transmission, encryption algorithms, and consensus mechanisms, and is essentially a distributed database [ 15 ]. Due to the continuous improvement of the security performance of the blockchain in recent years, the blockchain has been called a trusted blockchain by a large number of researchers.…”

Section: Methodsmentioning

confidence: 99%

Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Zhang

Peng

et al. 2022

IJERPH

View full text Add to dashboard Cite

The grain and oil food supply chain has a complex structure, long turnover cycles, and many stakeholders, so it is challenging to maintain the security of this supply chain. A reliable traceability system for the whole grain and oil food supply chain will help to improve the quality and safety of these products, thus enhancing people’s living standards. Driven by the trusted blockchain and trusted identity concepts, this paper constructs an information traceability model for the whole grain and oil food supply chain, and it describes how contract implementation and example verification are performed. First, an information traceability model framework of the whole grain and oil food supply chain is established based on the survey and analysis of the grain and oil food supply chain. Second, trusted identification, blockchain master–slave multi-chain storage, and trusted traceability mechanisms are designed. The trusted identification mechanism is used to track the data information of the whole grain and oil food supply chain. The blockchain master–slave multi-chain storage solves the problem of miscellaneous information caused by many links in the whole grain and oil supply chain, while the credible traceability mechanism ensures the credibility of information collection, storage, and transmission. Finally, based on the data flow, the model operation process is analyzed. Using the information traceability model, the grain and oil food trusted traceability system is designed and developed with the Hyperledger Fabric open-source framework, and a case study is conducted to verify the system. The results show that the model and system constructed in this study solve the problems of low data security and poor sharing, which exist widely in the traditional traceability mechanism, and enable the trusted uplink, storage, processing, and traceability of multi-source heterogeneous information in the lifecycle of the whole grain and oil food supply chain. The proposed system improves the granularity and accuracy of grain and oil food traceability, and provides support for the strategic security of grain stock.

show abstract

Section: Methodsmentioning

confidence: 99%

Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Zhang

Peng

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Anyhow, the absence of confidentiality, authentication, and channel-sealing policies creates channel vulnerabilities against crucial wireless attacks. In this circumstance, the lightweight encryption algorithms and authentication algorithms hide the multi-channel data transmissions [ 54 , 55 ]. The proposed system develops channel-aware Advanced Encryption Standard (AES) and Elliptic Curve Cryptography with Digital Signature (ECCDS) algorithms to protect the data on the channel.…”

Section: Methodsmentioning

confidence: 99%

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Rajasoundaran

Maheswar

Muthuramalingam

et al. 2022

Sensors

View full text Add to dashboard Cite

The Wireless Medium Access Control (WMAC) protocol functions by handling various data frames in order to forward them to neighbor sensor nodes. Under this circumstance, WMAC policies need secure data communication rules and intrusion detection procedures to safeguard the data from attackers. The existing secure Medium Access Control (MAC) policies provide expected and predictable practices against channel attackers. These security policies can be easily breached by any intelligent attacks or malicious actions. The proposed Wireless Interleaved Honeypot-Framing Model (WIHFM) newly implements distributed honeypot-based security mechanisms in each sensor node to act reactively against various attackers. The proposed WIHFM creates an optimal Wireless Sensor Network (WSN) channel model, Wireless Interleaved Honeypot Frames (WIHFs), secure hash-based random frame-interleaving principles, node-centric honeypot engines, and channel-covering techniques. Compared to various existing MAC security policies, the proposed model transforms unpredictable IHFs into legitimate frame sequences against channel attackers. Additionally, introducing WIHFs is a new-fangled approach for distributed WSNs. The successful development of the proposed WIHFM ensures resilient security standards and neighbor-based intrusion alert procedures for protecting MAC frames. Particularly, the proposed wireless honeypot methodology creates a novel idea of using honeypot frame traps against open wireless channel attacks. The development of a novel wireless honeypot traps deals with various challenges such as distributed honeypot management principles (node-centric honeypot, secretly interleaved-framing principles, and interleaving/de-interleaving procedures), dynamic network backbone management principles (On Demand Acyclic Connectivity model), and distributed attack isolation policies. This effort provides an effective wireless attack-trapping solution in dynamic WSNs. The simulation results show the advantage of the proposed WIHFM over the existing techniques such as Secure Zebra MAC (SZ-MAC), Blockchain-Assisted Secure-Routing Mechanism (BASR), and the Trust-Based Node Evaluation (TBNE) procedure. The experimental section confirms the proposed model attains a 10% to 14% superior performance compared to the existing techniques.

show abstract

“…To the best of our knowledge, BPSC-MMK is the first blockchain-based multiple multiparty keys agreement. However, currently there exist blockchain-based group key agreement protocols [42][43][44][45]49 for sharing a single secret key. So it is inevitable to compare BPSC-MMK with the existing single group key agreement protocols repeated multiple times.…”

Section: Efficiency Analysismentioning

confidence: 99%

“…Step-1: Finding time complexity for the proposed and then by analyzing existing blockchain-based group key agreement protocols [42][43][44][45]49 for sharing a single secret key. We find out the time complexity formulas for protocols in terms EC-point addition (pa-ecc), EC-point scalar multiplication (sm-ecc), Bilinear pairing operation (bp), Bilinear pairing point addition (pa-bp), Scalar multiplication with point related to bilinear pairing (sm-bp), Multiplication of two numbers (mul), Modular inverse operation (inv), Exponentiation (exp), General hash operation (h), and Map-to-point hash operation (mtp).…”

Section: Efficiency Analysismentioning

confidence: 99%

See 1 more Smart Citation

Blockchain privacy‐preserving smart contract centric multiplemultipartykey agreement over largeWANETs

Naresh¹,

Allavarpu

Reddi

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

With the rapid increase in the popularity of groupware applications whose security mainly relied on the key being used, which made multi‐party/group secret key agreements significant. However, the brute‐force attacks to interpret the group key made group communication vulnerable. The logical solution to overcome this is changing the group key frequently. In this direction, we propose blockchain‐based multiple shared keys agreement among a group of participants. As with conventional methods, the proposed protocol does not rely on strong random number generation and/or master key. In this technique, the privacy‐preserving smart contract acts as group controller (GC) and forms two parties with each of the other nodes. The GC, while generating these two‐party keys in the first round instead of exchanging one public key, it exchanges “m” public keys with each of the other nodes and generates m2 shared two‐party keys with each of the respective nodes. Now in the second round, GC generates m2 sequential products of two‐party shared keys and stores them securely as private data objects in the privacy‐preserving smart contract. Next GC computes m2sequential public keys to each of the respective nodes by multiplying these products with the inverse of individual members shared keys sequentially of the group nodes in trusted execution environment and shares them with respective group nodes. On receiving respective public keys, each group node computes the multiple multiparty shared keys by multiplying it with their individual shared keys. Furthermore, an upper limit for the number of shared keys obtained in terms of the number of keys exchanged.

show abstract

Provably secure blockchain privacy-preserving smart contract centric dynamic group key agreement for large WSN

Cited by 11 publications

References 28 publications

Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Blockchain privacy‐preserving smart contract centric multiplemultipartykey agreement over largeWANETs

Contact Info

Product

Resources

About