Competitive resource allocation in an attacker-defender game: When citizens become targets of being ingratiated

被引:0
作者
Long, Jie [1 ]
Dong, Yucheng [1 ,2 ]
Chen, Xia [3 ]
机构
[1] Sichuan Univ, Ctr Network Big Data & Decis Making, Business Sch, Chengdu 610065, Peoples R China
[2] Xiangjiang Lab, Changsha 410205, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Publ Adm, Chengdu 611731, Peoples R China
基金
中国国家自然科学基金;
关键词
Homeland security; Game theory; Resource allocation; Citizen target; Contest success function; PREPAREDNESS; STRATEGIES; FACE;
D O I
10.1016/j.eswa.2023.122840
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the realm of counterterrorism, the role of citizens is crucial. In certain scenarios, such as during epidemics or political conflicts, citizens can become targets of being ingratiated between governments and terrorists. Notably, citizen targets possess distinct characteristics compared to other target types. This article centers on the competitive allocation of resources by the defender and the attacker on citizen targets. First, we incorporate utility functions into contest success functions to capture the subjective preferences of citizen targets. Subsequently, we construct a sequential game model of the defender and the attacker, considering their respective budget constraints. Furthermore, we examine how the investment effectiveness of both players impacts the likelihood of a successful attack, optimal resource allocations, and defense losses. Additionally, we model the relationship between the investment effectiveness and the inherent defense levels of citizen targets. Finally, we present a case study to demonstrate the practical applicability of our proposed model. The article's findings indicate that (i) achieving the optimal resource allocation should consider a combination of factors, including the effectiveness of defender and attacker investments, the inherent defense levels of citizen targets, and the population sizes of these targets and (ii) acknowledging the positive correlation between inherent defense levels and defense effectiveness, enhancing the inherent defense levels of citizen targets can substantially reduce defense losses. This article provides valuable methods and insights that can benefit government agencies worldwide in efficiently allocating resources to protect vulnerable citizen populations from terrorism risks.
引用
收藏
页数:18
相关论文
共 64 条
  • [11] Cavaliere GA, 2021, HEALTH SECUR, V19, P546, DOI 10.1089/hs.2021.0004
  • [12] Counterterrorism resource allocation during a pandemic: The effects of dynamic target valuations when facing a strategic terrorist
    Chen, Xia
    Dong, Yucheng
    Hunt, Kyle
    Zhuang, Jun
    [J]. RISK ANALYSIS, 2023, 43 (06) : 1235 - 1253
  • [13] Columbo Emilia, 2020, Center for Strategic and International Studies
  • [14] RISK SHARING AND GROUP DECISION-MAKING
    ELIASHBERG, J
    WINKLER, RL
    [J]. MANAGEMENT SCIENCE, 1981, 27 (11) : 1221 - 1235
  • [15] An economic analysis of information security decisions with mandatory security standards in resource sharing environments
    Gao, Xing
    Gong, Siyu
    Wang, Ying
    Wang, Xifan
    Qiu, Manting
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 206
  • [16] Glaser M.A., 2006, Public Administration Quarterly, V39, P177
  • [17] Global Terrorism Database (GTD), 2022, US
  • [18] Modeling a Multitarget Attacker-Defender Game with Budget Constraints
    Guan, Peiqiu
    He, Meilin
    Zhuang, Jun
    Hora, Stephen C.
    [J]. DECISION ANALYSIS, 2017, 14 (02) : 87 - 107
  • [19] Modeling Resources Allocation in Attacker-Defender Games with "Warm Up" CSF
    Guan, Peiqiu
    Zhuang, Jun
    [J]. RISK ANALYSIS, 2016, 36 (04) : 776 - 791
  • [20] Deterring the Smuggling of Nuclear Weapons in Container Freight Through Detection and Retaliation
    Haphuriwat, Naraphorn
    Bier, Vicki M.
    Willis, Henry H.
    [J]. DECISION ANALYSIS, 2011, 8 (02) : 88 - 102