Considerations for Human-Machine Teaming in Cybersecurity

被引:2
|
作者
Gomez, Steven R. [1 ]
Mancuso, Vincent [1 ]
Staheli, Diane [1 ]
机构
[1] MIT, Lincoln Lab, Lexington, MA 02421 USA
来源
AUGMENTED COGNITION, AC 2019 | 2019年 / 11580卷
关键词
Cybersecurity; Cyber; HCI; Teaming; Interaction; Sensemaking; Situational awareness; Artificial intelligence;
D O I
10.1007/978-3-030-22419-6_12
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Understanding cybersecurity in an environment is uniquely challenging due to highly dynamic and potentially-adversarial activity. At the same time, the stakes are high for performance during these tasks: failures to reason about the environment and make decisions can let attacks go unnoticed or worsen the effects of attacks. Opportunities exist to address these challenges by more tightly integrating computer agents with human operators. In this paper, we consider implications for this integration during three stages that contribute to cyber analysts developing insights and conclusions about their environment: data organization and interaction, toolsmithing and analytic interaction, and human-centered assessment that leads to insights and conclusions. In each area, we discuss current challenges and opportunities for improved human-machine teaming. Finally, we present a roadmap of research goals for advanced human-machine teaming in cybersecurity operations.
引用
收藏
页码:153 / 168
页数:16
相关论文
共 50 条
  • [1] Trusting Human-Machine Teaming
    Michael, James Bret
    COMPUTER, 2021, 54 (11) : 104 - 107
  • [2] Editorial: Teamwork in human-machine teaming
    Funke, Gregory
    Lyons, Joseph B.
    Greenlee, Eric T.
    Tolston, Michael T.
    Matthews, Gerald
    FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [3] Trust and communication in human-machine teaming
    Ibrahim, Memunat A. A.
    Assaad, Zena
    Williams, Elizabeth
    FRONTIERS IN PHYSICS, 2022, 10
  • [4] Mutual Understanding in Human-Machine Teaming
    Paleja, Rohan
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 12896 - 12897
  • [5] Ethics and Safety of Human-Machine Teaming
    Assaad, Zena
    Boshuijzen-Van Burken, Christine
    FIRST INTERNATIONAL SYMPOSIUM ON TRUSTWORTHY AUTONOMOUS SYSTEMS, TAS 2023, 2022,
  • [6] Human-machine teaming is key to the future of aerospace
    Clarke, John-Paul
    AEROSPACE AMERICA, 2020, 58 (11) : 43 - 43
  • [7] Towards a systematic educational framework for human-machine teaming
    McCall, Finlay
    Hussein, Aya
    Petraki, Eleni
    Elsawah, Sondoss
    Abbass, Hussein
    IEEE TALE2021: IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND EDUCATION, 2021, : 375 - 382
  • [8] The Behavioral Science of Software Engineering and Human-Machine Teaming
    Ozkaya, Ipek
    IEEE SOFTWARE, 2020, 37 (06) : 3 - 6
  • [9] Optimal Human-Machine Teaming for a Sequential Inspection Operation
    Kalyanam, Krishnamoorthy
    Pachter, Meir
    Patzek, Michael
    Rothwell, Clayton
    Darbha, Swaroop
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 46 (04) : 557 - 568
  • [10] Autonomous Policy Explanations for Effective Human-Machine Teaming
    Tabrez, Aaquib
    THIRTY-EIGTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 21, 2024, : 23423 - 23424