Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 27751,
    "title": "Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games",
    "subtitle": null,
    "abstract": "To improve cyber defense, researchers have developed\nalgorithms to allocate limited defense resources optimally.\nThrough signaling theory, we have learned that it is possible to\ntrick the human mind when using deceptive signals. The\npresent work is an initial step towards developing a\npsychological theory of cyber deception. We use simulations\nto investigate how humans might make decisions under various\nconditions of deceptive signals in cyber-attack scenarios. We\ncreated an Instance-Based Learning (IBL) model of the\nattacker decisions using the ACT-R cognitive architecture. We\nran simulations against the optimal deceptive signaling\nalgorithm and against four alternative deceptive signal\nschemes. Our results show that the optimal deceptive algorithm\nis more effective at reducing the probability of attack and\nprotecting assets compared to other signaling conditions, but it\nis not perfect. These results shed some light on the expected\neffectiveness of deceptive signals for defense. The implications\nof these findings are discussed.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Cyber deception"
        },
        {
            "word": "Cognitive Models"
        },
        {
            "word": "Instance-based learning"
        },
        {
            "word": "Stackelberg security games"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8pb7r5hw",
    "frozenauthors": [
        {
            "first_name": "Edward",
            "middle_name": "A",
            "last_name": "Cranford",
            "name_suffix": "",
            "institution": "Carnegie Mellon",
            "department": ""
        },
        {
            "first_name": "Cleotilde",
            "middle_name": "",
            "last_name": "Gonzalez",
            "name_suffix": "",
            "institution": "Carnegie Mellon",
            "department": ""
        },
        {
            "first_name": "Sarah",
            "middle_name": "",
            "last_name": "Cooney",
            "name_suffix": "",
            "institution": "University of Southern California",
            "department": ""
        },
        {
            "first_name": "Milind",
            "middle_name": "",
            "last_name": "Tambe",
            "name_suffix": "",
            "institution": "University of Southern California",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27751/galley/17391/download/"
        }
    ]
}