A real-Time multi-Agent system for cryptographic key generation using imaging-based textural features

被引:0
|
作者
Abukhait J. [1 ]
Saleh M. [1 ]
机构
[1] Tafila Technical University, P.O. Box 179, Tafila
关键词
Advanced encryption standard; AES; Cryptography; GLCM; Grey level co-occurrence matrix; Network node; QoS; Quality-of-service; Security key; Textural features;
D O I
10.1504/IJICT.2019.101866
中图分类号
学科分类号
摘要
Traditional network security protocols depend on exchanging the security keys between the network nodes, and thus opposing the network to different classes of security threats. In this paper, a multi-Agent system for cryptographic key generation is proposed for real-Time networks. The proposed key generation technique generates a 256-bit security key for the advanced encryption standard (AES) algorithm using the textural features of digital images. By implementing this key generation technique at both the sender and receiver network nodes, the process of exchanging the security keys through the network would be eliminated, and thus making communication between network nodes robust against different security threats. Simulation results over a real-Time network show the efficiency of the proposed system in reducing the overhead of the security associations performed by the IPsec protocol. On the other hand, the proposed agent-based system shows a high efficiency in guaranteeing the quality-of-service (QoS) of the real-Time requests in terms of miss-ratio and total average delay through applying the best scheduling algorithm. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码:470 / 484
页数:14
相关论文
共 50 条
  • [21] An Intelligent Real-Time Process Quality Adjustment System Based on Multi-Agent
    Jiang, Xingyu
    Xu, Longzhen
    Wang, Shijie
    Zhang, Xinmin
    2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGEMENT SCIENCE (ICIEMS 2013), 2013, : 393 - 398
  • [22] A multi-agent mixed initiative system for real-time scheduling
    Teredesai, T
    Ramesh, VC
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 439 - 444
  • [23] Real-time multi-agent system for an adaptive intrusion detection system
    Al-Yaseen, Wathiq Laftah
    Othman, Zulaiha Ali
    Nazri, Mohd Zakree Ahmad
    PATTERN RECOGNITION LETTERS, 2017, 85 : 56 - 64
  • [24] A modeling methodology based on multi-agent for real-time software
    Jin Yongxian
    Li Shuyu
    ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, PROCEEDINGS, 2007, : 1004 - 1007
  • [25] Developing real-time multi-agent systems
    Julian, V
    Botti, V
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2004, 11 (02) : 135 - 149
  • [26] Multi-agent Negotiation in Real-time Bidding
    Kong, Chao
    Zhu, Haibei
    Li, Hao
    Liu, Jianye
    Wang, Zheng
    Qian, Yinliang
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [27] Real-time extensions in multi-agent communication
    Soler, J
    Julián, V
    García-Fornes, A
    Botti, V
    CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE, 2004, 3040 : 468 - 477
  • [28] Control and real-time experiments for a multi-agent aerial transportation system
    Ravell, Diego A. Mercado
    Oliva-Palomo, Fatima
    Sanahuja, Guillaume
    Castillo, Pedro
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (10)
  • [29] Scalable multi-agent system for real-time electric power management
    Tolbert, LM
    Qi, HR
    Peng, FZ
    2001 POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2001, : 1676 - 1679
  • [30] A Multi-agent System for Real-Time Ride Sharing in Congested Networks
    Alisoltani, Negin
    Zargayouna, Mahdi
    Leclercq, Ludovic
    AGENTS AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS 2019, 2020, 148 : 333 - 342