基于多态负载均衡算法的网络信息安全网关技术研究

doi:10.3969/j.issn.1671-1122.2026.03.007

摘要/Abstract

摘要：

传统的网络信息安全网关技术由于缺乏灵活性和智能化，难以应对复杂多变的网络环境与日益增多的网络攻击威胁。鉴于此，文章根据报文类型设计了多态负载均衡算法，并对多模匹配算法采用变步长策略，提出一种基于多态负载均衡算法的网络信息安全网关技术。性能测试结果表明，在不均匀数据测试中，当发包速度为1200 Mbps时，负载均衡模型的丢包率仅为0.11%，且负载均衡度最优。当并发请求数为8000时，融合模型的节点平衡度为1.024，响应时间为2567 ms，吞吐量为799个/s。实验结果表明，该方法在处理效率和吞吐量方面显著优于传统方法，能在高流量和复杂网络环境下显著降低服务器负载，提高系统响应速度，并有效抵御多种网络攻击。

关键词: 负载均衡, 网络信息, 网关, 变步长模式匹配, 吞吐量

Abstract:

Due to a lack of flexibility and intelligence, traditional network information security gateway techniques struggle to cope with the complex and ever-changing network environment and the increasing threat of network attacks. Performance test results show that in uneven data tests, when the packet sending speed is 1200 Mbps, the packet loss rate of the load balancing model is only 0.11%, and the load balancing degree is optimal. When the number of concurrent requests is 8000, the node balance degree of the fusion model is 1.024, the response time is 2567 ms, and the throughput is 799 packets/second. Experimental results indicate that this method is significantly superior to traditional methods in terms of processing efficiency and throughput. It can significantly reduce server load, improve system response speed, and effectively resist various network attacks in high-traffic and complex network environments.

Key words: load balancing, network information, gateway, variable step size pattern matching, throughput

中图分类号:

TP309

徐威, 罗娟. 基于多态负载均衡算法的网络信息安全网关技术研究[J]. 信息网络安全, 2026, 26(3): 412-419.

XU Wei, LUO Juan. Research on Network Information Security Gateway Technology Based on Polymorphic Load Balancing Algorithm[J]. Netinfo Security, 2026, 26(3): 412-419.

图/表 6

图1

图2

表1

图3

图4

图5

参考文献 22

[1]	DU Qin, CUI Xin, CHEN Xiangxiao, et al. Research on Load Balancing in Data Centers Based on Fuzzy Discrete Particle Swarm Optimization[J]. Journal of Shandong University of Technology, 2024, 38(5): 61-68.
	杜秦, 崔鑫, 陈向效, 等. 基于模糊离散粒子群的数据中心负载均衡研究[J]. 山东理工大学学报, 2024, 38(5):61-68.
[2]	WEI Debin, WANG Ying jie, LIANG Chao. Multipath Traffic Allocation Algorithm Based on Hybrid Load Balancing Strategy in Satellite Networks[J]. Computer Engineering and Design, 2024, 45(6): 1654-1660.
	魏德宾, 王英杰, 梁超. 卫星网络混合负载均衡策略下的多径流量分配算法[J]. 计算机工程与设计, 2024, 45(6):1654-1660.
[3]	WANG Suyun, ZHANG Jing, WANG Huikao. Research on the Application of Load Balancing Technology Based on Domain Name in Multi-Campus Hospitals[J]. China Digital Medicine, 2024, 19(4): 54-58. doi: 10.3969/j.issn.1673-7571.2024.04.009
	王素云, 张静, 王会考. 基于域名的负载均衡技术在多院区的应用研究[J]. 中国数字医学, 2024, 19(4):54-58.
[4]	GU Yongfa. Application of Elastic Load Balancing in the System Operation and Maintenance of Municipal Media Clients[J]. Radio & TV Broadcast Engineering, 2024, 51(4): 67-71.
	谷永发. 弹性负载均衡在市级媒体客户端系统运维中的应用[J]. 广播与电视技术, 2024, 51(4):67-71.
[5]	LI Wei, LI Xiang, JIN Annan. Analysis and Optimisation of Server Load Balancing-Based Multi-Factor Integrated Algorithm[J]. International Journal of Wireless and Mobile Computing, 2021, 20(3): 234-245. doi: 10.1504/IJWMC.2021.115638 URL
[6]	SUN Shuhao, ZHONG Haili. A Custom Load Balancing Algorithm Based on OpenResty[J]. Information & Computer, 2024, 36(6): 38-40.
	孙书豪, 钟海丽. 基于OpenResty的一种自定义负载均衡算法[J]. 信息与电脑, 2024, 36(6):38-40.
[7]	XU Aixin, SUN Shimin, WANG Xiaofan, et al. SDN Multi-Controller Load Balancing Mechanism Based on Improved Genetic Algorithm[J]. Application Research of Computers, 2022, 39(9): 2671-2676, 2694.
	徐爱鑫, 孙士民, 汪晓凡, 等. 基于改进遗传算法的SDN多控制器负载均衡机制研究[J]. 计算机应用研究, 2022, 39(9):2671-2676, 2694.
[8]	WANG Hongyun, SHU Yongan. Dynamic Multipath Load Balancing Based on Ant Colony Algorithm in DCN[J]. Application Research of Computers, 2020, 37(7): 2148-2150, 2166.
	王红运, 束永安. 数据中心网络中基于蚁群算法的动态多路径负载均衡[J]. 计算机应用研究, 2020, 37(7):2148-2150, 2166.
[9]	ABEDINI B M, MAJIDZADEH K, MASDARI M, et al. ELA-RCP: An Energy-Efficient and Load Balanced Algorithm for Reliable Controller Placement in Software-Defined Networks[J]. Journal of Network and Computer Applications, 2024, 225: 38-51.
[10]	LI Man, ZHOU Huachun, XU Qi, et al. Attack Traffic Allocation and Load Balancing Mechanism for SDN[J]. Journal on Communications, 2025, 46(3): 74-93.
	李曼, 周华春, 徐琪, 等. 面向SDN的攻击流量分配与负载均衡机制[J]. 通信学报, 2025, 46(3):74-93.
[11]	LI Xiaojing. Dynamic Load Balancing Control Method of Ship Communication Network Based on Cloud Computing[J]. Ship Science and Technology, 2024, 46(6): 177-180.
	李晓静. 基于云计算的舰船通信网络动态负载均衡控制方法[J]. 舰船科学技术, 2024, 46(6):177-180.
[12]	SONG Jimeng, ZHOU Chunlei, SHEN Ziqi, et al. Load Balancing Algorithm for Handle Identification Resolution System Based on TCN-GRU[J]. Journal of Fujian Normal University, 2024, 40(2): 64-73.
	宋继勐, 周春雷, 沈子奇, 等. 基于TCN-GRU的Handle标识解析系统负载均衡算法[J]. 福建师范大学学报, 2024, 40(2):64-73.
[13]	HUA Shubei, LIU Yuchao, BAI Yawen, et al. Research on Load Adaptive Balancing Method for Energy Meter Data Collection Terminals[J]. Process Automation Instrumentation, 2024, 45(3): 78-82.
	华书蓓, 刘于超, 白雅雯, 等. 电能表数据采集终端负载自适应均衡方法研究[J]. 自动化仪表, 2024, 45(3):78-82.
[14]	WANG Xiang. Pattern Matching for Streaming RDF Graph over Sliding Windows[J]. Computer Engineering and Design, 2024, 45(5): 1458-1464.
	王翔. 基于滑动窗口的流式RDF数据的模式匹配方法[J]. 计算机工程与设计, 2024, 45(5):1458-1464.
[15]	LIU Jiacheng. Design of the Multimodal Matching Algorithm in the Network Intrusion Detection System[J]. Information & Computer, 2024, 36(1): 234-236.
	刘佳诚. 网络入侵检测系统中的多模式匹配算法设计[J]. 信息与电脑, 2024, 36(1):234-236.
[16]	WANG Meng, PENG Zhan. A Tibetan Multi-Pattern Matching Algorithm Based on AC Automaton[J]. Electronic Technology & Software Engineering, 2023, 2(1): 143-148.
	王蒙, 彭展. 一种基于AC自动机的藏文多模式匹配算法[J]. 电子技术与软件工程, 2023, 2(1):143-148.
[17]	JIANG Haiyang, LI Xuefei, YANG Ye. Distance Comparison Based Parallel Pattern Matching[J]. Journal of Electronics & Information Technology, 2022, 44(2): 581-590.
	姜海洋, 李雪菲, 杨晔. 基于距离比较的AC自动机并行匹配算法[J]. 电子与信息学报, 2022, 44(2):581-590.
[18]	NAJAM-UL-ISLAM M, ZAHRA F T, JAFRI A R, et al. Auto Implementation of Parallel Hardware Architecture for Aho-Corasick Algorithm[J]. Design Automation for Embedded Systems, 2022, 26(1): 29-53. doi: 10.1007/s10617-021-09257-7
[19]	ZHOU J, LILHORE U K, HAI T, et al. Comparative Analysis of Metaheuristic Load Balancing Algorithms for Efficient Load Balancing in Cloud Computing[J]. Journal of Cloud Computing, 2023, 12(1): 1-21.
[20]	KASHANI M H, MAHDIPOUR E. Load Balancing Algorithms in Fog Computing[J]. IEEE Transactions on Services Computing, 2023, 16(2): 1505-1521. doi: 10.1109/TSC.2022.3174475 URL
[21]	GANDHI R, KHULLER S, KIM Y A, et al. Algorithms for Minimizing Response Time in Broadcast Scheduling[J]. Lecture Notes in Computer Science, 2002, 38(4): 597-608.
[22]	KANG Shicai, CHEN Liangguo, CHEN Xingshu. Resource Adaptive Scaling Method for Real-Time Processing of High-Speed Network Streaming[J]. Netinfo Security, 2025, 25(1): 110-123.
	康仕才, 陈良国, 陈兴蜀. 面向高速网络流实时处理的资源自适应伸缩方法[J]. 信息网络安全, 2025, 25(1):110-123.

算法	发包速率/Gbps	处理器1处理报文数/pkt	处理器2处理报文数/pkt	处理器3处理报文数/pkt	处理器4处理报文数/pkt	收包数/pkt	丢包量/pkt	丢包率	负载均衡度
静态负载均衡	0.7	509161	506971	492375	491488	1999995	11	0.00055%	0.007
	0.9	509109	506988	492587	491302	1999986	20	0.00100%	0.011
	1.0	509161	506978	492278	491565	1999982	24	0.00120%	0.005
	1.2	509161	506976	492283	491555	1999975	31	0.00155%	0.014
极大流算法	0.7	509161	506978	492361	491497	1999997	9	0.00045%	0.005
	0.9	509161	506977	492368	491486	1999992	14	0.00070%	0.013
	1.0	509164	506978	492369	491476	1999987	19	0.00095%	0.007
	1.2	509162	506972	492360	491497	1999991	15	0.00075%	0.013
基于非合作博弈降载模型	0.7	509161	506971	492375	491488	1999995	11	0.00055%	0.007
	0.9	509109	506988	492587	491302	1999986	20	0.00100%	0.011
	1.0	509161	506978	492278	491565	1999982	24	0.00120%	0.005
	1.2	509161	506976	492283	491555	1999975	31	0.00155%	0.014
基于蚁群算法的动态多路径算法	0.7	509161	506978	492361	491497	1999997	9	0.00045%	0.005
	0.9	509161	506977	492368	491486	1999992	14	0.00070%	0.013
	1.0	509164	506978	492369	491476	1999987	19	0.00095%	0.007
	1.2	509162	506972	492360	491497	1999991	15	0.00075%	0.013
PLBMC（本文方法）	0.7	509161	506980	492362	491499	2000002	4	0.00020%	0.013
	0.9	509164	506975	492362	491500	2000001	5	0.00025%	0.009
	1.0	509165	506974	492363	491497	1999999	7	0.00035%	0.014
	1.2	509166	506974	492363	491499	2000002	4	0.00020%	0.012