A Secure Data Transmission Mechanism for Cloud Outsourced Data

被引:8
|
作者
Alhaj, Abdullah [1 ]
Aljawarneh, Shadi [2 ]
Masadeh, Shadi [3 ]
Abu-Taieh, Evon [1 ]
机构
[1] Univ Jordan Aqaba, Fac Informat Technol, Aqaba, Jordan
[2] Isra Univ, Fac Informat Technol, Amman, Jordan
[3] Al Hussein Bin Talal Univ, Dept Comp Sci, Maan, Jordan
关键词
Cloud Computing; Data Transmission; Malicious Packets Detection System (MPDS); Quality of Service (QoS); Secure Data Transmission Mechanism (SDTM);
D O I
10.4018/ijcac.2013010104
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The Cloud has become a significant topic in computing; however, the trend has established a new range of security issues that need to be addressed. In Cloud, the data and associated software are not under their control. In addition, with the growing demands for Cloud networks communication, it becomes increasingly important to secure the data flow path. The existing research related to security mechanisms only focuses on securing the flow of information in the communication networks. There is a lack of work on improving the performance of networks to meet quality of service (QoS) constrains for various services. The security mechanisms work by encryption and decryption of the information, but do not consider the optimised use of the network resources. In this paper the authors propose a Secure Data Transmission Mechanism (SDTM) with Preemption Algorithm that combines between security and quality of service. Their developed SDTM enhanced with Malicious Packets Detection System (MPDS) which is a set of technologies and solutions. It enforces security policy and bandwidth compliance on all devices seeking to access Cloud network computing resources, in order to limit damage from emerging security threats and to allow network access only to compliant and trusted endpoint devices. This SDTM also provides support for quality of service. High-level simulations and the related results are provided to show the properties of the SDTM.
引用
收藏
页码:34 / 43
页数:10
相关论文
共 50 条
  • [21] On Deletion of Outsourced Data in Cloud Computing
    Mo, Zhen
    Xiao, Qingjun
    Zhou, Yian
    Chen, Shigang
    2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2014, : 344 - 351
  • [22] Integrity and Confidentiality in Cloud Outsourced Data
    Rady, Mai
    Abdelkader, Tamer
    Ismail, Rasha
    AIN SHAMS ENGINEERING JOURNAL, 2019, 10 (02) : 275 - 285
  • [23] Deterministic Algorithm for Cloud Outsourced Data
    Tajammul M.
    Parveen R.
    Asif S.
    SN Computer Science, 2022, 3 (3)
  • [24] Secure kNN query of outsourced spatial data using two-cloud architecture
    Tasneem Ghunaim
    Ibrahim Kamel
    Zaher Al Aghbari
    The Journal of Supercomputing, 2023, 79 : 21310 - 21345
  • [25] Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data
    Liu, Lin
    Su, Jinshu
    Liu, Ximeng
    Chen, Rongmao
    Huang, Kai
    Deng, Robert H.
    Wang, Xiaofeng
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (06) : 9841 - 9852
  • [26] Secure kNN query of outsourced spatial data using two-cloud architecture
    Ghunaim, Tasneem
    Kamel, Ibrahim
    Al Aghbari, Zaher
    JOURNAL OF SUPERCOMPUTING, 2023, 79 (18): : 21310 - 21345
  • [27] A Secure and Efficient Data Sharing Scheme with Outsourced Signcryption and Decryption in Mobile Cloud Computing
    Fugkeaw, Somchart
    2021 IEEE INTERNATIONAL CONFERENCE ON JOINT CLOUD COMPUTING (JCC 2021) / 2021 9TH IEEE INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD 2021), 2021, : 72 - 79
  • [28] ACAFD: Secure and Scalable Access Control with Assured File Deletion for Outsourced Data in Cloud
    Senthilkumar, Sudha
    Viswanatham, Madhu
    JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2014, 8 (01) : 18 - 30
  • [29] Efficient and secure data sharing with outsourced decryption and efficient revocation for cloud storage systems
    El Ghoubach I.
    Abbou R.B.
    Mrabti F.
    International Journal of Security and Networks, 2019, 14 (03) : 133 - 145
  • [30] Secure and verifiable outsourced data dimension reduction on dynamic data
    Chen, Zhenzhu
    Fu, Anmin
    Deng, Robert H.
    Liu, Ximeng
    Yang, Yang
    Zhang, Yinghui
    INFORMATION SCIENCES, 2021, 573 : 182 - 193