A design and development of an intelligent jammer and jamming detection methodologies using machine learning approach

Nowadays, the utilization of mobile phones has increased rapidly. Due to this evolution schools, mosques, prisons, etc., require silence and security. This is achieved by using the mobile phone jammers. An intelligent mobile jammer is designed for allowing only the emergency calls by utilizing the microcontroller. Here, the jammer utilizes the successive approximation for reducing the transmission power. However, it requires few modifications. Therefore in this paper, an improved successive approximation based on divide and conquer algorithm is proposed in order to design the improved intelligent mobile jammer and reduce transmission power. Subsequently, the proposed jammer is analysed based on the different scenarios and frequency bands to illustrate their performance effectiveness. Furthermore, the normal activities are distinguished from jamming by using machine learning-based detection system according to the various parameters. Finally, the proposed algorithm is compared with conventional algorithms to demonstrate its performance efficiency in terms of detection accuracy.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal, Tamilnadu, 637215, India Sivaprakash S
  2. Department of Computer Science and Engineering, KSR Institute for Engineering and Technology, Tiruchengode, Namakkal, Tamilnadu, 637215, India Venkatesan M
  1. Sivaprakash S