Using chaotic maps for 3D boundary surveillance by quadrotor robot

Gohari, Payam Shafiei; Mohammadi, Hossein; Taghvaei, Sajjad

doi:10.1016/j.asoc.2018.11.051

Cited by 53 publications

(25 citation statements)

References 15 publications

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“…Less dimensional chaos cannot work properly in order to produce more random substitution boxes and more random numbers. One can use high dimensional chaotic maps such as hyper chaotic map to solve the generation of truly random number [132].…”

Section: Authentication Obstacles In Uavsmentioning

confidence: 99%

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have increased in civil and military applications including rescue operations, disaster recovery, and military operations. Despite the utility and advantages of UAVs, they may lead to major security breaches in the context of hardware, software, and communication channel, due their ease of use and availability. UAVs are vulnerable to various types of attacks such as spoofing, false data injection, jamming, fuzzing, availability, confidentiality, and integrity attacks. To overcome these security threats, researchers have been investigating strong security protocols to keep UAVs safe from the attackers. Nevertheless, there are many flaws in the developed protocols which can be exploited by hackers. Therefore, it is becomes crucial to study and analyze the existing security protocols used in UAVs to discover and address their vulnerabilities and weaknesses. The purpose of this study is to explore the vulnerabilities in the security protocols and propose guidelines to improve the security and provide future research directions.

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Section: Authentication Obstacles In Uavsmentioning

confidence: 99%

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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“…Multi-Robot Systems (MRS) are formed by more than one robot and have the objective of performing a set of tasks in an efficient manner. These systems have been used in the last decades for purposes such as logistics (Farinelli et al, 2017), surveillance (Gohari et al, 2019), filming (Zema et al, 2017), agriculture (agr), inspection (Brusell et al, 2016), and mapping (Yang et al, 2017).…”

Section: Other Parametersmentioning

confidence: 99%

Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network

2021

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An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurements spots and allocates the RSN accordingly to carry out the dynamic estimation of DNI. A generic thermosolar power plant with a fleet of vehicles is used as a simulated case study to assess the performance of the algorithm. The results show that the proposed method allows us to obtain a spatial estimation of the DNI that improves the flow control in the loops of the plant, outperforming estimations based on a single pyrheliometer.

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“…D ETERMINISTIC chaos is a common behavior in continuous-time dynamical systems of differential equations with nonlinear terms, which exhibit aperiodicity, ergodicity and sensitivity to initial conditions [1]. These properties of chaotic systems are needed in many applications such as modeling of robots [2], motion control [3], Random Number Generation and encryption applications [4]. This demand on chaotic systems in various applications has encouraged the exploration of different methods for their analog and digital hardware realizations [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

FPGA Realizations of Chaotic Epidemic and Disease Models Including Covid-19

et al. 2021

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The spread of epidemics and diseases is known to exhibit chaotic dynamics; a fact confirmed by many developed mathematical models. However, to the best of our knowledge, no attempt to realize any of these chaotic models in analog or digital electronic form has been reported in the literature. In this work, we report on the efficient FPGA implementations of three different virus spreading models and one disease progress model. In particular, the Ebola, Influenza, and COVID-19 virus spreading models in addition to a Cancer disease progress model are first numerically analyzed for parameter sensitivity via bifurcation diagrams. Subsequently and despite the large number of parameters and large number of multiplication (or division) operations, these models are efficiently implemented on FPGA platforms using fixed-point architectures. Detailed FPGA design process, hardware architecture and timing analysis are provided for three of the studied models (Ebola, Influenza, and Cancer) on an Altera Cyclone IV EP4CE115F29C7 FPGA chip. All models are also implemented on a high performance Xilinx Artix-7 XC7A100TCSG324 FPGA for comparison of the needed hardware resources. Experimental results showing real-time control of the chaotic dynamics are presented.

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Using chaotic maps for 3D boundary surveillance by quadrotor robot

Cited by 53 publications

References 15 publications

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network

FPGA Realizations of Chaotic Epidemic and Disease Models Including Covid-19

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