{
  "id": "1806.07057",
  "version": "v1",
  "published": "2018-06-19T06:11:32.000Z",
  "updated": "2018-06-19T06:11:32.000Z",
  "title": "Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment",
  "authors": [
    "Md Mohaimenuzzaman",
    "Zahraa Said Abdallah",
    "Joarder Kamruzzaman",
    "Bala Srinivasan"
  ],
  "comment": "6 pages, 2 figures and 2 tables",
  "categories": [
    "cs.LG",
    "cs.CR",
    "stat.ML"
  ],
  "abstract": "This paper studies the effect of various hyper-parameters and their selection for the best performance of the deep learning model proposed in [1] for distributed attack detection in the Internet of Things (IoT). The findings show that there are three hyper-parameters that have more influence on the best performance achieved by the model. As a consequence, this study shows that the model's accuracy as reported in the paper is not achievable, based on the best selections of parameters, which is also supported by another recent publication [2].",
  "revisions": [
    {
      "version": "v1",
      "updated": "2018-06-19T06:11:32.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "deep learning model",
      "distributed attack detection",
      "hyper-parameter optimization",
      "things environment",
      "best performance"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 6,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}