Cognitive Radar Information Networks for Security - Enhancing Risk Mitigation for Reducing Operator Overload

被引：0

作者：

Nohara, Tim J. ^{[1
]}

Eng, P. ^{[1
]}

Haykin, Simon ^{[2
]}

机构：

[1] Accipiter Radar Technol Inc, Niagara, ON, Canada

[2] McMaster Univ, Hamilton, ON, Canada

来源：

2013 IEEE RADAR CONFERENCE (RADAR) | 2013年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents a practical foundation for building and deploying affordable, cognitive radar information networks (CRINs) to secure large, unmanned borders such as the 3,700 km Canada/U.S. border that runs through the Great Lakes. The proposed systems and methods are novel and necessary if radar's future in the 21st century is to embody the risk management principles needed to optimize system and operator resources for detection of suspicious target behaviour. Human cognitive abilities of attention and intelligence are proposed as cardinal characteristics that are built into CRINs to provide force multiplication and reduce operator overload.

引用

页数：6

共 42 条

[31] Physical Layer Security in NOMA-Enabled Cognitive Radio Networks With Outdated Channel State Information
Chen, Yong
Zhang, Tao
Liu, Yongxiang
Qiao, Xiaoqiang
IEEE ACCESS, 2020, 8 (08): : 159480 - 159492
[32] Quantitative Evaluation Model for Information Security Risk of Wireless Communication Networks Under Big Data
Jiang, Bin-bin
ADVANCED HYBRID INFORMATION PROCESSING, ADHIP 2019, PT I, 2019, 301 : 458 - 468
[33] Planning exploitation graph-Bayesian networks model for information security risk frequency measurement
Wang, Zhen-Zhen
Jiang, Xin
Wu, Xiao-Yue
Tan, Xu
Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2010, 38 (2A): : 18 - 22
[34] Cooperative Cognitive Radio Model for Enhancing Physical Layer Security in Two-Path Amplify-and-Forward Relaying Networks
Abd El-Malek, Ahmed H.
Zummo, Salam A.
2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
[35] ANALYSIS OF DATABASE INFORMATION SYSTEM SECURITY RISK ASSESSMENT TECHNOLOGY IN THE ERA OF BIG DATA UNDER THE BACKGROUND OF COGNITIVE IMPAIRMENT
Liu, Zhangrong
PSYCHIATRIA DANUBINA, 2022, 34 : S394 - S395
[36] Outage Performance of Physical Layer Security for Multi-hop Underlay Cognitive Radio Networks with Imperfect Channel State Information
Shim, Kyusung
Do, Nhu Tri
An, Beongku
Nam, Sang-Yep
2016 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATIONS (ICEIC), 2016,
[37] Topology-aware Cognitive Self-protection Framework for Automated Detection and Mitigation of Security and Privacy Incidents in 5G-IoT Networks
Benlloch-Caballero, Pablo
Sanchez-Navarro, Ignacio
Matencio-Escolar, Antonio
Calero, Jose M. Alcaraz
Wang, Qi
2023 IEEE 31ST INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS, ICNP, 2023,
[38] Emotional and Cognitive Responses to COVID-19 Information Overload under Lockdown Predict Media Attention and Risk Perceptions of COVID-19
Gardikiotis, Antonis
Malinaki, Evanthia
Charisiadis-Tsitlakidis, Charalambos
Protonotariou, Aristea
Archontis, Stamatis
Lampropoulou, Anna
Maraki, Irini
Papatheodorou, Konstantina
Zafeiriou, George
JOURNAL OF HEALTH COMMUNICATION, 2021, 26 (06) : 434 - 442
[39] A dynamic decision support system based on geographical information and mobile social networks: A model for tsunami risk mitigation in Padang, Indonesia
Ai, Fuli
Comfort, Louise K.
Dong, Yongqiang
Znati, Taieb
SAFETY SCIENCE, 2016, 90 : 62 - 74
[40] Design of Rice Logistic Geographic Information Systems Using SCOR, FMEA, and AHP Method to Support National Food Security Risk Mitigation System
Pranatio, Muhammad Iqbal
Ridwan, Ari Yanuar
Akbar, Mohammad Deni
2022 IEEE ASIA PACIFIC CONFERENCE ON WIRELESS AND MOBILE (APWIMOB), 2022, : 118 - 124

← 1 2 3 4 5 →