Zheng Yang, Ke Gu^*, Yiming Zuo

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2813-2831, 2024, DOI:10.32604/cmc.2024.050025

Abstract Federated learning is widely used to solve the problem of data decentralization and can provide privacy protection for data owners. However, since multiple participants are required in federated learning, this allows attackers to compromise. Byzantine attacks pose great threats to federated learning. Byzantine attackers upload maliciously created local models to the server to affect the prediction performance and training speed of the global model. To defend against Byzantine attacks, we propose a Byzantine robust federated learning scheme based on backdoor triggers. In our scheme, backdoor triggers are embedded into benign data samples, and then malicious More >

Rui Qiao, Shi Dong^*

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2505-2527, 2023, DOI:10.32604/cmc.2023.043476

Abstract Effectively identifying and preventing the threat of Byzantine nodes to the security of distributed systems is a challenge in applying consortium chains. Therefore, this paper proposes a new consortium chain generation model, deeply analyzes the vulnerability of the consortium chain consensus based on the behavior of the nodes, and points out the effects of Byzantine node proportion and node state verification on the consensus process and system security. Furthermore, the normalized verification node aggregation index that represents the consensus ability of the consortium organization and the trust evaluation function of the verification node set is… More >

Zhiruo Zhang, Feng Wang^*, Yang Liu, Yang Lu, Xinlei Liu

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3113-3129, 2023, DOI:10.32604/cmc.2023.040600

Abstract The consensus protocol is one of the core technologies in blockchain, which plays a crucial role in ensuring the block generation rate, consistency, and safety of the blockchain system. Blockchain systems mainly adopt the Byzantine Fault Tolerance (BFT) protocol, which often suffers from slow consensus speed and high communication consumption to prevent Byzantine nodes from disrupting the consensus. In this paper, this paper proposes a new dual-mode consensus protocol based on node identity authentication. It divides the consensus process into two subprotocols: Check_BFT and Fast_BFT. In Check_BFT, the replicas authenticate the primary’s identity by monitoring… More >

D. Palanikkumar¹, Adel Fahad Alrasheedi², P. Parthasarathi³, S. S. Askar², Mohamed Abouhawwash^4,5,*

Computer Systems Science and Engineering, Vol.44, No.1, pp. 457-469, 2023, DOI:10.32604/csse.2023.024884

Abstract Data management becomes essential component of patient healthcare. Internet of Medical Things (IoMT) performs a wireless communication between E-medical applications and human being. Instead of consulting a doctor in the hospital, patients get health related information remotely from the physician. The main issues in the E-Medical application are lack of safety, security and privacy preservation of patient’s health care data. To overcome these issues, this work proposes block chain based IoMT Processed with Hybrid consensus protocol for secured storage. Patients health data is collected from physician, smart devices etc. The main goal is to store More >

Chuanwang Ma^1,*, Yu Zhang^1,2, Binxing Fang^1,2, Hongli Zhang¹, Yidong Jin³, Dasheng Zhou³

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 463-481, 2022, DOI:10.32604/cmes.2022.016838

Abstract Ripple acts as a real-time settlement and payment system to connect banks and payment providers. As the consensus support of the Ripple network to ensure network consistency, Ripple consensus protocol has been widely concerned in recent years. Compared with those Byzantine fault tolerant protocols, Ripple has a significant difference that the system can reach an agreement under decentralized trust model. However, Ripple has many problems both in theory and practice, which are mentioned in the previous researches. This paper presents Ripple+, an improved scheme of Ripple consensus protocol, which improves Ripple from three aspects: (1)… More >

Yihuai Liang, Yan Li, Byeong-Seok Shin^*

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2825-2842, 2021, DOI:10.32604/cmc.2021.016682

Abstract A centralized trusted execution environment (TEE) has been extensively studied to provide secure and trusted computing. However, a TEE might become a throughput bottleneck if it is used to evaluate data quality when collecting large-scale data in a crowdsourcing system. It may also have security problems compromised by attackers. Here, we propose a scheme, named dTEE, for building a platform for providing distributed trusted computing by leveraging TEEs. The platform is used as an infrastructure of trusted computations for blockchain-based crowdsourcing systems, especially to securely evaluate data quality and manage remuneration: these operations are handled… More >

Huanrong Tang, Yaojing Sun, Jianquan Ouyang^*

Journal of Cyber Security, Vol.2, No.4, pp. 167-182, 2020, DOI:10.32604/jcs.2020.011341

Abstract With the rapid development of blockchain technology, more and more people are paying attention to the consensus mechanism of blockchain. Practical Byzantine Fault Tolerance (PBFT), as the first efficient consensus algorithm solving the Byzantine Generals Problem, plays an important role. But PBFT also has its problems. First, it runs in a completely closed environment, and any node can't join or exit without rebooting the system. Second, the communication complexity in the network is as high as O(n2), which makes the algorithm only applicable to small-scale networks. For these problems, this paper proposes an Optimized consensus… More >