基于区块链的复杂网络近邻入侵风险检测算法

Near-Neighbor Intrusion Risk Detection Algorithm for Complex Networks based on Blockchain

为保护复杂网络用户的数据隐私,降低网络入侵攻击对网络数据产生的负面影响,提出基于区块链的复杂网络近邻入侵风险检测算法。构建一种复杂网络环境下的数学模型,模拟复杂网络近邻入侵过程,并标记不同入侵类型下的标准特征。以实时网络数据为基础,利用区块链技术计算网络节点脆弱度,设置并求解近邻攻击强度、传输信息增益等风险检测指标,最终得出近邻入侵概率风险值和入侵类型的检测结果。通过性能测试实验得出结论:与传统检测算法相比,优化设计算法的风险值检测误差降低了0.044,同时入侵类型误检率降低。

In order to protect the data privacy of users in complex networks and reduce the negative impact of network intrusion attacks on network data,a near-neighbor intrusion risk detection algorithm for complex networks blockchain-based was proposed.Considering the composition structure and working characteristics of complex network,the mathematical model of complex network was constructed.In this model,the process of complex network neighbor intrusion was simulated,and the standard features under different intrusion types were marked.Based on the real-time mining network data,the blockchain technology was used to calculate the vulnerability of network nodes,set and solve the risk detection indicators such as near-neighbor attack intensity,transmission information gain,and finally obtain the detection results of near-neighbor intrusion probability risk value and intrusion type.Through the performance test experiment,it is concluded that compared with the traditional detection algorithm,the risk value detection error of the optimized design algorithm is reduced by 0.044,and the false detection rate of the intrusion type is reduced.