The purpose of this paper is to propose a new hybrid metaheuristic to solve the problem of feature selection. Feature selection problem is the process of finding the most relevant subset based on some criteria. A hybrid metaheuristic is a new trend in the development of optimization algorithms. In this paper, two different hybrid models are designed based on spotted hyena optimization (SHO) for feature selection problem. The SHO algorithm can find the optimal or nearly optimal feature subset in the feature space to minimize the given fitness function. In the first model, the simulated annealing algorithm (SA) is embedded in the SHO algorithm (called SHOSA-1) to enhance the optimal solution found by the SHO algorithm after each iteration. In the second model, SA enhances the final solution obtained by the SHO algorithm (called SHOSA-2). The performance of these methods is evaluated in 20 datasets in the UCI repository. The experiments show that SHOSA-1 performs better than the native algorithm and SHOSA-2. And then, SHOSA-1 is compared with six state-of-the-art optimization algorithms. The experimental results confirm that SHOSA-1 improves the classification accuracy and reduces the number of selected features compared with other wrapper-based optimization algorithms. That proves the excellent performance of SHOSA-1 in spatial search and feature attribute selection.
The Internet of Things (IoT) is the development production of the computer science and communication technology. As IoT is broadly used in many fields, the security of IoT is becoming especially important and will take great effects on the industry of IoT. Beginning with the concept of IoT, its features and systemic structure, this paper analyzes the security problem of IoT in the stratums of perception, network and application in the system of IoT, puts forward the secure construction of IoT, and offers the corresponding secure strategies based on the existing problems in the framework of IoT. And eventually the theoretical basis will be offered to build up reliable security system of IoT.
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