考虑终端安全和资源调度的垂直切换算法

马彬; 陈鑫; 谢显中; 钟世林

doi:10.11999/JEIT210450

考虑终端安全和资源调度的垂直切换算法

doi: 10.11999/JEIT210450

马彬^{1, 2},
陈鑫^{1, 2, ,},
谢显中²,
钟世林^{1, 2}

1.
重庆邮电大学计算机科学与技术学院重庆 400065
2.
重庆邮电大学重庆市计算机网络与通信技术重点实验室重庆 400065

基金项目: 重庆市教委科学技术研究重大项目(KJZD-M201900602)，重庆市教委科学技术研究重点项目(KJZD-M201800603)，重庆市基础研究与前沿探索项目(CSTC2018jcyjAX0432)

详细信息

作者简介:
马彬：男，1978年生，教授，博士生导师，研究方向为异构无线网络、认知无线电网络等

陈鑫：男，1996年生，硕士生，研究方向为异构无线网络

谢显中：男，1966年生，教授，博士生导师，研究方向为无线和移动通信技术

钟世林：男，1997年生，硕士生，研究方向为异构无线网络

通讯作者:
陈鑫　cx_cqupt@163.com

中图分类号: TN915
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- 被引次数: 0
出版历程
- 收稿日期: 2021-05-25
- 修回日期: 2021-12-17
- 录用日期: 2022-01-12
- 网络出版日期: 2022-02-11
- 刊出日期: 2022-08-17

Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling

MA Bin^{1, 2},
CHEN Xin^{1, 2
, ,},
XIE Xianzhong²,
ZHONG Shilin^{1, 2}

1.
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Key Laboratory of Computer Network and Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Major Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201900602), The Key Project of Science and Technology Research of Chongqing Education Commission (KJZD-M201800603), The Foundation Research and Advanced Exploration Project of Chongqing (CSTC2018jcyjAX0432)

摘要

摘要: 存在恶意终端的超密集异构无线网络中，针对高并发接入请求带来的资源分配效率降低和拥塞问题，该文提出一种考虑终端安全和资源调度的垂直切换算法(CTSRS-VHA)。首先，在网络侧通过基于有限状态机的攻击检测算法，构建终端安全评估模型，计算得到终端安全度。其次，结合网络拥塞度、用户数据传输速率和终端安全度构建了一个多目标优化函数。再次，分析网络与终端之间的综合效益，把多目标优化函数转换成单目标优化函数求解，证明了该解为帕累托最优解。最后，仿真结果及分析表明，该算法能够提高网络的接入安全水平和总吞吐量，降低网络拥塞度和切换失败率。
- 超密集异构无线网络 /
- 有限状态机 /
- 攻击检测 /
- 指数加权滑动平均 /
- 帕累托最优
Abstract: In ultra-dense heterogeneous wireless networks with malicious terminals, a Vertical Handover Algorithm Considering Terminal Security and Resource Scheduling (CTSRS-VHA) is proposed to solve the problem of low resource allocation efficiency and congestion caused by high concurrent access requests. Firstly, the terminal security evaluation model is built on the network side through the attack detection algorithm based on the finite state machine, and the terminal security degree is calculated. Secondly, a multi-objective optimization function is constructed based on network congestion, user data transmission rate and terminal security degree. Thirdly, by analyzing the comprehensive benefits between the network and the terminal, the multi-objective optimization function is converted into a single objective optimization function, and the solution is proved to be Pareto optimal. Finally, the simulation results and analysis show that the proposed algorithm can improve the network access security level and total throughput, and reduce the network congestion and handover failure rate.
- Ultra-dense heterogeneous wireless networks /
- Finite state machine /
- Attack detection /
- Exponential weighted moving average /
- Pareto optima

HTML全文

图 1 考虑终端安全和资源调度的垂直切换算法流程示意图

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图 2 网络注册过程中的FSM模型

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图 3 超密集异构无线网络仿真场景

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图 4 网络资源消耗与终端安全度的关系

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图 5 网络接入安全水平与终端数量的关系

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图 6 网络切换失败率对比

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图 7 网络拥塞度与终端数量的关系

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图 8 系统吞吐量与终端数量的关系

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图 9 时间开销与终端数量的关系

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表 1 状态转移表

	当前连接状态
	0	1	2	3	4	5	6	7	8	9	10
RRC 连接请求	1	1	2	3	4	5	6	7	8	9	10
RRC 连接配置	2	2	2	3	4	5	6	7	8	9	10
RRC 连接配置完成	3	3	3	3	4	5	6	7	8	9	10
鉴权请求	4	4	4	4	4	5	6	7	8	9	10
鉴权响应	5	5	5	5	5	5	6	7	8	9	10
NAS 安全指令	6	6	6	6	6	6	6	7	8	9	10
NAS 安全承诺	7	7	7	7	7	7	7	7	8	9	10
RRC 重新配置	8	8	8	8	8	8	8	8	8	9	10
RRC 重新配置完成	9	9	9	9	9	9	9	9	9	9	10
注册完成	10	10	10	10	10	10	10	10	10	10	10

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表 2 基于FSM的攻击检测算法

输入：当前连接的输入帧类型，最大异常转移次数为E_j,max
网络在第q个时间段内的帧数量$x_q$，滑动窗口大小H，阈值系数$ \eta $
输出：连接状态转移异常的总次数h
(1) 初始化：连接起始状态LS₀，连接下一状态S_next，FSM起　　始状态S₀，FSM下一状态F_next，状态数t = 0，异常次数　　 h = 0，最大状态数F_max = 11，自适应检测阈值E_j
(2) 获取连接中的输入帧
(3) 根据输入帧类型，查询状态转移表(表1)
(4) 状态转移：LS₀ → S_next；S₀ → F_next；
(a) 判断FSM转移顺序是否一致
(5) IF (S_next == F_next) THEN
(6) t = t+1；
(b) 判断是否达到FSM最大状态数
(7) IF (t < F_max) THEN
(8) 回到02；
(9) ELSE
(10) 统计异常转移次数：h = h+1；
(c) 判断异常次数是否超过检测阈值
(11) IF (h < E_j) THEN
(12) 回到 02；
(13) END IF
(d) 动态调整检测阈值E_j
(14) 根据式(1)、式(2)和式(3)更新网络j在t时刻的检测阈值E_j

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表 3 网络参数设置

无线网络技术	发射功率 (dBm)	路径损耗因子(dBm)	覆盖半径 (m)	总带宽(MHz)	资源块带宽(kHz)	资源块数(个)
宏蜂窝	35	50	全覆盖	20	2	10000
微蜂窝	20	52	300	10	2	5000
微微蜂窝	28	53	200	10	2	5000
WLAN	20	48	100	8	2	4000

下载: 导出CSV

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