A study on the covert channel detection of TCP/IP header using support vector machine

被引：0
|
作者：
Sohn, T [1 ]
Seo, JT
Moon, J
机构：
[1] Korea Univ, Ctr Informat Secur Technol, Seoul 136701, South Korea
[2] ETRI, Natl Secur Res Inst, Taejon, South Korea
来源：
INFORMATION AND COMMUNICATIONS SECURITY, PROCEEDINGS | 2003年 / 2836卷
关键词：
intrusion detection; covert channel; support vector machine; TCP/IP protocol;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nowadays, threats of information security have become a big issue in internet environments. Various security solutions are used as such problems' countermeasure; IDS, Firewall and VPN. However, a TCP/IP protocol based Internet basically has great vulnerability of protocol itself. It is especially possible to establish a covert channel using TCP/IP header fields such as identification, sequence number, acknowledgement number, timestamp and so on[3]. In this paper, we focus on the covert channels using identification field of IP header and the sequence number field of TCP header. To detect such covert channels, our approach uses a Support Vector Machine which has excellent performance in pattern classification problems. Our experiments showed that the proposed method could discern the abnormal cases(including covert channels) from normal TCP/IP traffic using a Support Vector Machine.
引用
收藏
页码：313 / 324
页数：12
相关论文
共 50 条
  • [21] Atrial Fibrillation Detection Using Support Vector Machine
    Nuryani, Nuryani
    Harjito, Bambang
    Yahya, Iwan
    Lestari, Anik
    PROCEEDING JOINT INTERNATIONAL CONFERENCE ON ELECTRIC VEHICULAR TECHNOLOGY AND INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING (ICEVT & IMECE), 2015, : 215 - 218
  • [22] Pathological Voices Detection using Support Vector Machine
    Hammami, Imen
    Salhi, Lotfi
    Labidi, Salam
    2016 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP), 2016, : 662 - 666
  • [23] Intrusion Detection Using Isomap and Support Vector Machine
    Zheng, Kai-mei
    Qian, Xu
    Zhou, Yu
    Jia, Li-juan
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS, 2009, : 235 - 239
  • [24] Weed Detection System using Support Vector Machine
    Ishak, Asnor Juraiza
    Mustafa, Mohd Marzuki
    Tahir, Noritawati Md
    Hussain, Aini
    2008 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS, VOLS 1-3, 2008, : 445 - 448
  • [25] Bank Fraud Detection Using Support Vector Machine
    Gyamfi, Nana Kwame
    Abdulai, Jamal-Deen
    2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2018, : 37 - 41
  • [26] Fraud detection using support vector machine ensemble
    Pang, SN
    Kim, D
    Bang, SY
    8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING, 2001, : 1344 - 1349
  • [27] Study of multiuser detection: The support vector machine approach
    Yang, T
    Hu, B
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS, 2005, 3614 : 442 - 451
  • [28] Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network
    Roy, Sanjiban Sekhar
    Sinha, Abhishek
    Roy, Reetika
    Barna, Cornel
    Samui, Pijush
    SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 2, 2018, 634 : 162 - 174
  • [29] Channel state dependent robust TCP/IP header compression for 3G wireless networks
    Wu, YC
    Sun, LM
    Zheng, JP
    Huang, K
    Liao, Y
    CONFERENCE PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL PERFORMANCE, COMPUTING, AND COMMUNICATIONS CONFERENCE, 2004, : 141 - 145
  • [30] Support vector machine in novelty detection for multi-channel combustion data
    Clifton, Lei A.
    Yin, Hujun
    Zhang, Yang
    ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, 2006, 3973 : 836 - 843
12345