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  • Open Access


    City-Level Homogeneous Blocks Identification for IP Geolocation

    Fuxiang Yuan, Fenlin Liu, Chong Liu, Xiangyang Luo*

    Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1403-1417, 2020, DOI:10.32604/iasc.2020.011902

    Abstract IPs in homogeneous blocks are tightly connected and close to each other in topology and geography, which can help geolocate sensitive target IPs and maintain network security. Therefore, this manuscript proposes a city-level homogeneous blocks identification algorithm for IP geolocation. Firstly, IPs with consistent geographic location information in multiple databases and some landmarks in a specific area are obtained as targets; the /31 containing each target is used as a candidate block; vantage points are deployed to probe IPs in the candidate blocks to obtain delays and paths, and alias resolution is performed. Then, based on… More >

  • Open Access


    Development of an Artificial Fish Swarm Algorithm Based on a Wireless Sensor Networks in a Hydrodynamic Background

    Sheng Bai, Feng Bao*, Fengzhi Zhao, Miaomiao Liu

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 935-946, 2020, DOI:10.32604/fdmp.2020.010113

    Abstract The main objective of the present study is the development of a new algorithm that can adapt to complex and changeable environments. An artificial fish swarm algorithm is developed which relies on a wireless sensor network (WSN) in a hydrodynamic background. The nodes of this algorithm are viscous fluids and artificial fish, while related ‘events’ are directly connected to the food available in the related virtual environment. The results show that the total processing time of the data by the source node is 6.661 ms, of which the processing time of crosstalk data is 3.789… More >

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