Adequacyscrutinyof Intrusion Detection Techniques Over Discrete Dataset’s

  • Authors

    • Neha Singh
    • Dr. Deepali Virmani
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.28.28334
  • Intrusion, wireless sensor network, intrusion detection techniques, data mining, machine learning, fuzzy rules.

  • Abstract

    Intrusion detection is one of the major issues in wireless sensor networks. There is a drastic change in algorithms dealing with intrusion detections due to rapid change in types of intrusion. The paper presents a scrutiny of various intrusion detection techniques over various datasets and illustrates how these algorithms have evolved with time. The scrutiny is based on various parameters such as various types of technologies used to propose new systems and number of publications over a period of time, accuracy of intrusion detection rate of various data sets. The analysis concludes that their is a significant increase in new intrusion detection systems over time. The analysis also concludes that researchers are gradually shifting from old data sets to new data set to validate their systems. There is a rapid growth in systems using machine learning for intrusion detection systems.

     

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  • How to Cite

    Singh, N., & Deepali Virmani, D. (2018). Adequacyscrutinyof Intrusion Detection Techniques Over Discrete Dataset’s. International Journal of Engineering & Technology, 7(4.28), 626-630. https://doi.org/10.14419/ijet.v7i4.28.28334

    Received date: 2019-03-13

    Accepted date: 2019-03-13

    Published date: 2018-11-30