Journal of Jilin University(Engineering and Technology Edition) ›› 2020, Vol. 50 ›› Issue (1): 255-261.doi: 10.13229/j.cnki.jdxbgxb20181286

Previous Articles     Next Articles

GSPN⁃based model to evaluate the performance and securi tytradeoff in Ad-hoc network

Jun-yi DENG1(),Yan-heng LIU1,2,Shi FENG1,Rong-cun ZHAO3,Jian WANG1,2()   

  1. 1. College of Computer Science and Technology, Jilin University，Changchun 130012, China
    2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
    3. Baidu International Technology (Shenzhen) Co. Ltd. , Shenzhen 518000, China
  • Received:2018-12-29 Online:2020-01-01 Published:2020-02-06
  • Contact: Jian WANG E-mail:dengjunyi@vip.sina.com;wangjian591@jlu.edu.cn

RICH HTML

 4   

PDF (PC)

86

Abstract:

The tradeoff between performance and security has always been a key issue in ad-hoc network research, and many optimization schemes have been proposed by the researchers. However, there has been no a unified quantitative criterion to compare the performance and benefits of these schemes. This paper proposes a widely used method to evaluate performance and security tradeoff in ad-hoc networks. Firstly, GSPN was used to construct the data transmission model within and between nodes. Then the model is abstracted and refined by Petri net. Finally, combining with Continuous-time Markov Chain (CTMC) the method calculates the performance, security and benefits. In this way, the different strategies can be incorporated into the unified evaluation framework, the optimal equilibrium solution can be selected according to the different environments and requirements. Simulations are carried out on data encryption algorithms, key size and strategy selections, which provides theoretical basis and data support to this model for the effective utilization of network resources.

Key words: computer application, Ad-hoc network, GSPN model, performance evaluation, performance and security tradeoff

CLC Number: 

  • TP393

Fig.1

GSPN model within nodes"

Fig.2

Security strategies of P3"

Fig.3

Definition of security strategy"

Fig.4

State transition diagram of intra-node"

Fig.5

GSPN model of inter?node transport protocol"

Table 1

GSPN object implication"

位置和转变 含义
O1 数据到达之前
T_arrive 数据到达
O2 检测信道
T_access 准备访问信道
T_defer 推迟访问信道
O3, T_instability 数据处于不稳定期
O4, T_collision 信道冲突
O5, T_succeed 成功传输数据
O6, T_backoff 回滚

Fig.6

State transition diagram of inter?node transport protocol"

Table 2

Basic parameters of three encryption algorithms"

算 法 键大小/位 块大小/位
DES 64 64
AES 256 128
Blowfish 448 64

Table 3

Average execution time and data processing rate"

算 法 平均执行时间/s 处理数据速率/(Byte?s-1)
DES 134 835
AES 228 491
Blowfish 108 1 036

Fig.7

Relationship between R R,R S,R N,delay and n in different algorithms"

Table 4

Performance of DES"

算 法 平均时间/s 速率/(Byte?s–1)
AES?128bit 4.196 61.010
AES?192bit 4.817 53.145
AES?256bit 5.308 48.229

Fig.8

Relationship between R R,R S,R N, delay and n in different AES key sizes"

Fig.9

Relationship between S and g(n=25)"

Fig.10

Relationship between P and g(n=10,25,50)"

Fig.11

Relationship between I and g(n=10,25,50)"

1 Al-Sultan Saif , Al-Doori Moath M , Al-Bayatti Ali H , et al . A comprehensive survey on vehicular Ad Hoc network[J]. Journal of Network & Computer Applications, 2014, 37(1): 380-392.
2 Deepak, Kumar R , Rishi R . Routing and security analysis in vehicular ad-hoc networks(VANETs)[C]∥IEEE International Conference on Power Electronics Intelligent Control and Energy Systems (ICPEICES)，Delhi, India, 2017.
3 Qiu T , Chen N , Li K , et al . Heterogeneous ad hoc networks: architectures, advances and challenges[J]. Ad Hoc Networks, 2016, 55: 143-152.
4 Wolter K , Reinecke P . Performance and security tradeoff[C]∥LNCS 6154, 2010:135-167.
5 Zhao Y , Thomas N . Efficient solutions of a PEPA model of a key distribution centre[J]. Performance Evaluation, 2010, 67(8): 740-756.
6 Aldini A . Trade-off between performance and security[R]∥Foundations of Security Analysis and Design (FOSAD), Bertinoro, Italy, 2011.
7 Kumar N , Chilamkurti N . Collaborative trust aware intelligent intrusion detection in VANETs[J]. Computers & Electrical Engineering, 2014, 40(6): 1981-1996.
8 Liu Z C , Xiong L , Peng T , et al . A realistic distributed conditional privacy-preserving authentication scheme for vehicular Ad⁃hoc networks[J]. IEEE Access, 2018, 6: 26307-26317
9 Marsan M A , Balbo G , Conte G , et al . Modelling with generalized stochastic petri nets[J]. ACM Sigmetrics Performance Evaluation Review, 1998, 26(2): 2.
10 Huaizhou Y , Zengzhi L I . Web service composition and performance analysis based on GSPN[J]. Computer Engineering, 2009, 35(22): 1-3.
11 Shi Z S , Wang C F , Zheng P , et al . An energy consumption prediction model based on GSPN for wireless sensor networks[C]∥International Conference on Computational & Information Sciences, Chengdu, China, 2011.
12 Zhao X , Malasse O , Buchheit G . Verification of safety integrity level of high demand system based on Stochastic Petri Nets and Monte Carlo simulation[J]. Reliability Engineering & System Safety, 2019, 184: 258-265.
13 Ma X , Chen X . Saturation Performance of IEEE 802.11 broadcast networks[J]. IEEE Communications Letters, 2007, 11(8): 686-688.
14 Ma X , Chen X . Performance Analysis of IEEE 802.11 broadcast scheme in Ad Hoc wireless LANs[J]. IEEE Transactions on Vehicular Technology, 2008, 57(6): 3757-3768.
15 Al Tamimi A K . Performance analysis of data encryption algorithms[DB/OL].[2018-10-13]. https:∥
[1] Man CHEN,Yong ZHONG,Zhen-dong LI. Multi-focus image fusion based on latent low⁃rank representation combining low⁃rank representation [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 297-305.
[2] Xiao-dong ZHANG,Xiao-jun XIA,Hai-feng LYU,Xu-chao GONG,Meng-jia LIAN. Dynamic load balancing of physiological data flow in big data network parallel computing environment [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 247-254.
[3] Xiao-hui WANG,Lu-shen WU,Hua-wei CHEN. Denoising of scattered point cloud data based on normal vector distance classification [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 278-288.
[4] Tie-jun WANG,Wei-lan WANG. Thangka image annotation based on ontology [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 289-296.
[5] Xiong-fei LI,Jing WANG,Xiao-li ZHANG,Tie-hu FAN. Multi-focus image fusion based on support vector machines and window gradient [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 227-236.
[6] Hong-yan WANG,He-lei QIU,Jia ZHENG,Bing-nan PEI. Visual tracking method based on low⁃rank sparse representation under illumination change [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 268-277.
[7] Xiang-jiu CHE,Hua-luo LIU,Qing-bin SHAO. Fabric defect recognition algorithm based onimproved Fast RCNN [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 2038-2044.
[8] Bing-hai ZHOU,Qiong WU. Balancing and optimization of robotic assemble lines withtool and space constraint [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 2069-2075.
[9] Hong-wei ZHAO,Peng WANG,Li-li FAN,Huang-shui HU,Ping-ping LIU. Similarity retention instance retrieval method [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 2045-2050.
[10] Jun SHEN,Xiao ZHOU,Zu-qin JI. Implementation of service dynamic extended network and its node system model [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 2058-2068.
[11] You ZHOU,Sen YANG,Da-lin LI,Chun-guo WU,Yan WANG,Kang-ping WANG. Acceleration platform for face detection and recognition based on field⁃programmable gate array [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 2051-2057.
[12] Bin LI,Xu ZHOU,Fang MEI,Shuai-ning PAN. Location recommendation algorithm based on K-means and matrix factorization [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(5): 1653-1660.
[13] Xiong-fei LI,Lu SONG,Xiao-li ZHANG. Remote sensing image fusion based on cooperative empirical wavelet transform [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1307-1319.
[14] Yuan-ning LIU,Shuai LIU,Xiao-dong ZHU,Guang HUO,Tong DING,Kuo ZHANG,Xue JIANG,Shu-jun GUO,Qi-xian ZHANG. Iris secondary recognition based on decision particle swarm optimization and stable texture [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1329-1338.
[15] Bin LI,Guo⁃jun SHEN,Geng SUN,Ting⁃ting ZHENG. Improved chicken swarm optimization algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1339-1344.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd