An Entropy-based Method for Detection of Covert Channels over LTE

被引:0
|
作者
Wang, Zukui [1 ]
Huang, Liusheng
Yang, Wei
He, Zhiqiang
机构
[1] USTC, Sch CS & Tech, Hefei 230027, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Sequence Number; Covert Channels; Entropy; Corrected Conditional Entropy;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the rapid development of mobile technologies, LTE is turning to be a wonderful carrier for covert channels. Existing detection for covert storage channel (CSC) are almost packet analysis based methods. In this paper, we present an entropy-based method for detecting CSC in Sequence Number (SN) fields of PDCP and RLC layer, which is seen as the most difficult to be detected. We simulate the LTE network in NS3 platform, and propose a Protocol Data Unit (PDU) based blind method to calculate the distance between the SN of PDU and its first left neighbor, instead of analyzing the packets or extracting the value of SN from the PDU. Our experimental results have demonstrated that the proposed detection method is sensitive to the hidden information in the SN fields of PDCP and RLC layer. It can detect them in an accurate manner, and can be conducted in both real-time online and offline storage detection.
引用
收藏
页码:872 / 877
页数:6
相关论文
共 50 条
  • [41] Entropy-Based Method for Bivariate Drought Analysis
    Hao, Z.
    Singh, V. P.
    JOURNAL OF HYDROLOGIC ENGINEERING, 2013, 18 (07) : 780 - 786
  • [42] New Entropy-Based Method for Gene Selection
    Mahmoodian, Hamid
    Marhaban, M. H.
    Rahim, R. Abdul
    Rosli, R.
    Saripan, I.
    IETE JOURNAL OF RESEARCH, 2009, 55 (04) : 162 - 168
  • [43] Entropy-based method for COP data analysis
    Jiang, Bernard C.
    Yang, W. -H.
    Shieh, J. -S.
    Fan, J. S. -Z.
    Peng, C. -K.
    THEORETICAL ISSUES IN ERGONOMICS SCIENCE, 2013, 14 (03) : 227 - 246
  • [44] Effects of normalization on the entropy-based TOPSIS method
    Chen, Pengyu
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 136 : 33 - 41
  • [45] An Entropy-based Method for Estimating Demographic Trends
    Zhao, Guang-She
    Xu, Yi
    Li, Guoqi
    Yang, Zhao-Xu
    2015 IEEE INTERNATIONAL CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2015,
  • [46] Entropy Sharing in Ransomware: Bypassing Entropy-Based Detection of Cryptographic Operations
    Bang, Jiseok
    Kim, Jeong Nyeo
    Lee, Seungkwang
    SENSORS, 2024, 24 (05)
  • [47] Entropy-Based re-sampling method on SAR class imbalance target detection
    Zhang, Chong-Qi
    Deng, Yao
    Chong, Ming-Zhe
    Zhang, Zi-Wen
    Tan, Yun-Hua
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 209 : 432 - 447
  • [48] AUTOMATIC DETECTION OF ILLEGAL TRANSMISSION IN A NETWORK (Covert Timing Channels An Entropy Approach)
    2012 THIRD INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION & NETWORKING TECHNOLOGIES (ICCCNT), 2012,
  • [49] Entropy-Based Automated Method for Detection and Assessment of Spalling Severities in Reinforced Concrete Bridges
    Abdelkader, Eslam Mohammed
    Moselhi, Osama
    Marzouk, Mohamed
    Zayed, Tarek
    JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES, 2021, 35 (01)
  • [50] Research on NOFRF Entropy-Based Detection Method for Early Damage of Pillar Porcelain Insulator
    Mao, Hanling
    Tang, Weili
    Huang, Yingxiang
    Mao, Hanying
    Huang, Zhenfeng
    Li, Xinxin
    SHOCK AND VIBRATION, 2020, 2020