A Network-Based Response Framework and Implementation

被引:0
|
作者
Tylutki, Marcus [1 ]
Levitt, Karl [1 ]
机构
[1] Univ Calif Davis, Davis, CA 95616 USA
来源
关键词
Autonomic response; response modeling; response framework;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As the number of network-based attacks increase, and system administrators become overwhelmed with Intrusion Detection System (IDS) alerts, systems that respond to these attacks are rapidly becoming a key area of research. Current response solutions are either localized to individual hosts, or focus on a refined set of possible attacks or resources, which emulate many features of low level IDS sensors. In this paper, we describe a modular network-based response framework that can incorporate existing response solutions and IDS sensors. This framework combines these components by uniting models that represent: events that affect the state of the system, the detection capabilities of sensors, the response capabilities of response agents, and the conditions that represent system policy. Linking these models provides a foundation for generating responses that can best satisfy policy, given the perceived system state and the capabilities of sensors and response agents.
引用
收藏
页码:65 / 82
页数:18
相关论文
共 50 条
  • [31] Deep neural network-based secure healthcare framework
    Aldaej, Abdulaziz
    Ahanger, Tariq Ahamed
    Ullah, Imdad
    [J]. Neural Computing and Applications, 2024, 36 (28) : 17467 - 17482
  • [32] A Framework for the Network-Based Assessment of System Dynamic Resilience
    Wang, Huixiong
    Pan, Xing
    Liu, Zeqing
    Dang, Yuheng
    Hong, Dongpao
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2024, : 1 - 11
  • [33] Implementation of a network-based distributed system using the CAN protocol
    Jung, J
    Park, K
    Cha, JS
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2005, 3681 : 1104 - 1110
  • [34] Towards Hardware Implementation of Neural Network-based Communication Algorithms
    Aoudia, Faycal Ait
    Hoydis, Jakob
    [J]. 2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019), 2019,
  • [35] Design and implementation of network-based smart transducer interface module
    Ren Zuoxin
    Zhang Jilong
    Han Wei
    Wu Xiaolei
    [J]. ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 5421 - 5424
  • [36] The design, implementation and evaluation of a network-based university level course
    Yun, YF
    [J]. ED-MEDIA 2004: World Conference on Educational Multimedia, Hypermedia & Telecommunications, Vols. 1-7, 2004, : 5120 - 5125
  • [37] Network-based distributed approach for implementation of an unmanned autonomous forklift
    Song Y.H.
    Park J.H.
    Lee K.C.
    Lee S.
    [J]. Journal of Institute of Control, Robotics and Systems, 2010, 16 (09) : 898 - 904
  • [38] Implementation of Neural Network-Based Classification Approach on Embedded Platform
    Saric, Rijad
    Jokic, Dejan
    Beganovic, Nejra
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING, CMBEBIH 2019, 2020, 73 : 43 - 49
  • [39] Hardware implementation of common protocol interface for a network-based multiprocessor
    Shinozaki, Arata
    Kubo, Mitsunori
    Nakatomi, Takayuki
    Ye, Baoliu
    Guo, Minyi
    [J]. PARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS, PROCEEDINGS, 2007, 4742 : 303 - 313
  • [40] Nonlinear Multiview Analysis: Identifiability and Neural Network-based Implementation
    Lyu, Qi
    Fu, Xiao
    [J]. 2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2020,