CONSTRUCTION OF CUSTOMIZABLE SOA SECURITY FRAMEWORK USING ARTIFICIAL NEURAL NETWORKS

被引:0
|
作者
Ibrahim, Mohamed B. [1 ]
Hassan, Mohd Fadzil [2 ]
机构
[1] Res Scholar Software Solut Architect, Kuala Lumpur, Malaysia
[2] Univ Teknol PETRONAS, Dept Comp & Informat Sci, Seri Iskandar, Malaysia
来源
JURNAL TEKNOLOGI | 2016年 / 78卷 / 12-3期
关键词
SOA; web services; security; neural nets; machine learning; SOAP; WSDL;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Web Services technology for the implementation of Service Oriented Architecture (SOA) is the preferred choice in the current era of Enterprise Application Integration (EAI). As Web Services architecture is dynamic and loosely coupled, security aspects must be considered thoroughly at the time of designing. It is prone for attacks as it uses XML format for data exchange, which is a plain text. A novel security component named "Intelligent Security Engine (ISE)" is introduced into the proposed framework which incorporates Artificial Neural Networks (ANN) Learning Techniques for supervised knowledge acquisition on security threats of SOA. Thus, the proposed security framework is capable in the identification of future security vulnerabilities of SOA and can work effectively even for in-secured cross organizational EAI environment.
引用
收藏
页码:69 / 75
页数:7
相关论文
共 50 条
  • [21] Framework for the interactive learning of artificial neural networks
    Uzak, Matus
    Jaksa, Rudolf
    ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1, 2006, 4131 : 103 - 112
  • [22] Research and Application of Customizable Cooperative Work Framework Architecture based on SOA
    Qu Ming
    Liu Shufen
    Yao Zhilin
    Zheng Wanbo
    Bao Tie
    2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS, 2008, : 481 - 486
  • [23] Information Security: Artificial Immune Detectors in Neural Networks
    Fatima, Huda
    Al-Turki, Saleh Mohammed
    Pradhan, Sateesh Kumar
    Dash, G. N.
    2015 2ND WORLD SYMPOSIUM ON WEB APPLICATIONS AND NETWORKING (WSWAN), 2015,
  • [24] Developing Password Security System By Using Artificial Neural Networks In User Log In Systems
    Korkmaz, Yusuf
    2016 ELECTRIC ELECTRONICS, COMPUTER SCIENCE, BIOMEDICAL ENGINEERINGS' MEETING (EBBT), 2016,
  • [25] Power system dynamic security enhancement using artificial neural networks and energy margin
    Momoh, JA
    Effiong, CB
    PROCEEDINGS OF THE AMERICAN POWER CONFERENCE, VOL 58, PTS I AND II, 1996, 58 : 1303 - 1308
  • [26] Analysis and Prediction of Security Factors In Public Passenger Transport Using Artificial Neural Networks
    Jozwiak, Arkadiusz
    Lesiak, Gabriel
    EDUCATION EXCELLENCE AND INNOVATION MANAGEMENT: A 2025 VISION TO SUSTAIN ECONOMIC DEVELOPMENT DURING GLOBAL CHALLENGES, 2020, : 11242 - 11254
  • [27] Evolving Artificial Neural Networks for Nonlinear Feature Construction
    Berka, Tobias
    Mayer, Helmut A.
    GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2013, : 1037 - 1044
  • [28] Implementing artificial neural networks through bionic construction
    He, Hu
    Yang, Xu
    Xu, Zhiheng
    Deng, Ning
    Shang, Yingjie
    Liu, Guo
    Ji, Mengyao
    Zheng, Wenhao
    Zhao, Jinfeng
    Dong, Liya
    PLOS ONE, 2019, 14 (02):
  • [29] Artificial Neural Networks for Sustainable Development of the Construction Industry
    Ahmed, Mohd
    AlQadhi, Saeed
    Mallick, Javed
    Ben Kahla, Nabil
    Le, Hoang Anh
    Singh, Chander Kumar
    Hang, Hoang Thi
    SUSTAINABILITY, 2022, 14 (22)
  • [30] Use of artificial neural networks in construction management: A review
    Boussabaine, A.H.
    Construction Management and Economics, 1996, 14 (05): : 427 - 436