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The internet of things (IoT) is used in domestic, industrial as well as mission-critical systems including homes, transports, power plants, industrial manufacturing and health-care applications. Security of data generated by such systems and IoT systems itself is very critical in such applications. Early detection of any attack targeting IoT system is necessary to minimize the damage. This paper reviews security attack detection methods for IoT Infrastructure presented in the state-of-the-art. One of the major entry points for attacks in IoT system is topology exploitation. This paper proposes a distributed algorithm for early detection of such attacks with the help of predictive descriptor tables. This paper also presents feature selection from topology control packet fields. The performance of the proposed algorithm is evaluated using an extensive simulation carried out in OMNeT++. Performance parameter includes accuracy and time required for detection. Simulation results presented in this paper show that the proposed algorithm is effective in detecting attacks ahead in time.

Radio spectrum is limited resource in wireless mobile communication system. However, efficient use of available channels has been shown to improve the system performance. Most of the channels in various technologies are known to have partial overlap. Due to the interference effects the use of such partially overlapped channels is avoided. The use of partially overlapped channel is not always harmful. This paper presents the solutions how to avoid interferences which occur due to partially overlap. This helps to use the maximum radio spectrum.

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