A Heterogeneous Defense Method using Fuzzy Decision Making

被引：0

作者：

Rezaei, A. A. ^{[1
]}

Mohammadifar, R. ^{[1
]}

Lotfi, E. ^{[2
]}

Khosravi, A. ^{[3
]}

Nahavandi, S. ^{[4
,5
]}

机构：

[1] Payam E Noor Univ, Dept Comp Engn, Tehran, Iran

[2] Islamic Azad Univ, Torbat E Jam Branch, Dept Comp Engn, Torbat E Jam, Iran

[3] Deakin Univ, Ctr Intelligence Syst Res, Geelong, Vic 3217, Australia

[4] Deakin Univ, Engn, 75 Pigdons Rd, Waurn Ponds, Vic 3216, Australia

[5] Deakin Univ, Ctr Intelligent Syst Res, 75 Pigdons Rd, Waurn Ponds, Vic 3216, Australia

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) | 2017年

关键词：

Fuzzy decision making; Software Defined Networks; DDoS attacks; Flood attacks; SOFTWARE-DEFINED NETWORKING; DDOS ATTACKS; FRAMEWORK; OPENFLOW;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Denial of service flood attacks are among the most common and powerful attacks which abuse the computational resources and the bandwidth of a network. In this paper, a heterogeneous defense method is proposed based on a combination of the Software Defined controller and fuzzy decision making. Numerical results show that the proposed method has a lower computational load and response time compared to the traditional methods centralized in the controller.

引用

页数：8

共 44 条

[1] [Anonymous], 2014, 2014 AL TA14 017A UD
[2] [Anonymous], 2012, P USENIX HOT ICE
[3] [Anonymous], 2011, PROCEDIA COMPUTER SC
[4] An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection
Bhuyan, Monowar H.
Bhattacharyya, D. K.
Kalita, J. K.
[J]. PATTERN RECOGNITION LETTERS, 2015, 51 : 1 - 7
[5] Bojadziev G., 2007, Fuzzy Logic for Business, Finance, and Management Modeling, V2nd
[6] Borcoci E., 2013, 5 INT C ADV FUT INT
[7] Braga R, 2010, C LOCAL COMPUT NETW, P408, DOI 10.1109/LCN.2010.5735752
[8] SD-Anti-DDoS: Fast and efficient DDoS defense in software-defined networks
Cui, Yunhe
Yan, Lianshan
Li, Saifei
Xing, Huanlai
Pan, Wei
Zhu, Jian
Zheng, Xiaoyang
[J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 68 : 65 - 79
[9] Statistical approaches to DDoS attack detection and response
Feinstein, L
Schnackenberg, D
Balupari, R
Kindred, D
[J]. DARPA INFORMATION SURVIVABILITY CONFERENCE AND EXPOSITION, VOL I, PROCEEDINGS, 2003, : 303 - 314
[10] OPERETTA: An OPEnflow-based REmedy to mitigate TCP SYNFLOOD Attacks against web servers
Fichera, Silvia
Galluccio, Laura
Grancagnolo, Salvatore C.
Morabito, Giacomo
Palazzo, Sergio
[J]. COMPUTER NETWORKS, 2015, 92 : 89 - 100

← 1 2 3 4 5 →