Developing intelligence-based threat definitions for global information security management

被引:0
|
作者
Korzyk, AD [1 ]
机构
[1] Univ Idaho, Dept Business, Moscow, ID 83844 USA
关键词
threat definition; scenario; military intelligence; information system security;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the major problems with global information security management is the piecemeal nature of pertinent information. An alert or item of interest might not mean anything in and of itself, however, combined with other items of interest and data, the last item might be the piece of the puzzle missing to uncover the nature of suspicious activity or unexplained problems. This research attempts to define how the pieces of data can be combined into information forming the basis of a possible scenario. Information systems using the database approach have generally failed to provide adequate information security because databases are not generally designed to discover facts or knowledge. Unlike databases, Model bases are generally integrative facilities that allow the capture of not just data, but the combination of data and information to form knowledge by storing combined data in a scenario. The proposed new threat definition model classifies the internal and external forces facing a trans-national organization from the relatively common operating environment for many organizations and the intra-organization environment. Businesses using information systems need to continuously monitor their common operating environment (COE). This threat definition model identifies the sources of macro-level potential threat forces and micro-level potential threat forces. These include nation-states, terrorists, hackers, and even software developers worldwide.
引用
收藏
页码:862 / 864
页数:3
相关论文
共 50 条
  • [21] Network security situational awareness model based on threat intelligence
    基于威胁情报的网络安全态势感知模型
    [J]. 1600, Editorial Board of Journal on Communications (42): : 182 - 194
  • [22] Cyber Security Threat Intelligence Sharing Model Based on Blockchain
    Huang, Kezhen
    Lian, Yifeng
    Feng, Dengguo
    Zhang, Haixia
    Liu, Yuling
    Ma, Xiangliang
    [J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2020, 57 (04): : 836 - 846
  • [23] Network Security Situation Awareness Framework based on Threat Intelligence
    Zhang, Hongbin
    Yi, Yuzi
    Wang, Junshe
    Cao, Ning
    Duan, Qiang
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2018, 56 (03): : 381 - 399
  • [24] Developing an Artificial Intelligence-Based Pediatric and Adolescent Migraine Diagnostic Model
    Sasaki, Shiori
    Katsuki, Masahito
    Kawahara, Junko
    Yamagishi, Chinami
    Koh, Akihito
    Kawamura, Shin
    Kashiwagi, Kenta
    Ikeda, Takashi
    Goto, Tetsuya
    Kaneko, Kazuma
    Wada, Naomichi
    Yamagishi, Fuminori
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (08)
  • [25] Adaptive management and water security in a global context: definitions, concepts, and examples
    Varady, Robert G.
    Zuniga-Teran, Adriana A.
    Garfin, Gregg M.
    Martin, Facundo
    Vicuna, Sebastian
    [J]. CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY, 2016, 21 : 70 - 77
  • [26] Cyber Security and Global Information Assurance: Threat Analysis and Response Solutions
    Kessler, Gary C.
    [J]. JOURNAL OF DIGITAL FORENSICS SECURITY AND LAW, 2009, 4 (03) : 57 - 59
  • [27] Artificial intelligence-based design of a management information system for large-scale Chinese sports events
    Song, Honglian
    [J]. AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (01): : 2151 - 2155
  • [28] A Threat Table Based Assessment of Information Security in Telemedicine
    Pendergrass, John C.
    Heart, Karen
    Ranganathan, C.
    Venkatakrishnan, V. N.
    [J]. INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS, 2014, 9 (04) : 20 - 31
  • [29] SECURITY SITUATION MANAGEMENT - DEVELOPING A CONCEPT OF OPERATIONS AND THREAT PREDICTION CAPABILITY
    Kolev, Denis
    Koelle, Rainer
    Casar Rodriguez, Rosa Ana
    Montefusco, Patrizia
    [J]. 2015 IEEE/AIAA 34TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2015,
  • [30] Developing a Scalable Network of High-Interaction Threat Intelligence Sensors for IoT Security
    Zimmermann, Till
    Lanfer, Eric
    Aschenbruck, Nils
    [J]. PROCEEDINGS OF THE 2022 47TH IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2022), 2022, : 251 - 253