Physical layer security is an emerging security area that achieves perfect secrecy data transmission between intended network nodes, while malicious nodes that eavesdrop the communication obtain zero information. The so-called secrecy capacity can be improved using friendly jammers that introduce extra interference to the eavesdroppers. We investigate the interaction between the source that transmits the useful data and friendly jammers who assist the source by "masking" the eavesdropper. To obtain distributed solution, we introduce a game theoretic approach. The game is defined such that the source pays the jammers to interfere the eavesdropper, therefore, increasing the secrecy capacity. The friendly jammers charge the source with a certain price for the jamming, and there is a tradeoff for the price. If too low, the profit of the jammers is low; and if too high, the source would not buy the "service" (jamming power) or would buy it from other jammers. To analyze the game outcome, we investigate a Stackelburg type of game and construct a distributed algorithm. Our analysis and simulation results show the effectiveness of friendly jamming and the tradeoff for setting the price. The distributed game solution is shown to have similar performances to those of the centralized one.
Abstract-Physical layer security is an emerging security technology that achieves perfect secrecy data transmission between the intended network nodes, while the eavesdropping malicious nodes obtain zero information. The so-called secrecy capacity can be improved using friendly jammers that introduce extra interference to the eavesdropping malicious nodes while the interference to the intended destination is limited. In this paper, we investigate the interaction between the source that transmits the desired data and friendly jammers who assist the source by "disguising" the eavesdropper. In order to obtain a distributed solution, we introduce a game theoretic approach. The game is defined in such a way that the source pays the friendly jammers to interfere the eavesdropper, therefore increasing its secrecy capacit; and the friendly jammers charge the source with a certain price for the jamming. There is a tradeoff for the price: If the price is too low, the profit of the jammers is low; and if the price is too high, the source would not buy the "service" (jamming power) or would buy it from other jammers. To analyze the game outcome, we define and investigate a Stackelburg game and construct a distributed algorithm. Our analysis and simulation results show the effectiveness of friendly jamming and the tradeoff for setting the price. The fancy title comes from the fact that it is similar to a scenario where the main character, namely the "source" tries to send a dating message to a lady (the intended destination), whose poor boyfriend plays the role of the eavesdropper that may hear the message. Friends of the source, the so called "friendly jammers," try to distract the boyfriend, so that the dating message can be secretly transmitted. The game is defined in order to derive what is the optimal price that the friends can charge for this "friendly" action.
The real estate industry is currently undergoing a digital transformation that not only changes its nature in terms of the markets and work environments, but is also influencing its growth. What are the main trends and concerns related to this transformation? To what extent is the real estate industry already prepared for this? This paper reviews the situation in terms of the emergence of a phenomenon known as PropTech. PropTech is characterized by the massive implementation of emerging technology such as home matching tools, drones, virtual reality, building information modelling (BIM), data analytics tools, artificial intelligence (AI), Internet of Things (IoT) and blockchain, smart contracts, crowdfunding in the real estate sector, fintechs related to real estate, smart cities, regions, smart homes and shared economy. This survey of changes in the real estate industry due to PropTech covers four areas: (1) PropTech applications in the real estate industry; (2) implications of PropTech for real estate market transparency; (3) how PropTech could give a region or a company a competitive advantage; and (4) concerns on the wider implications of these changes on a labour market and education. In a plausible scenario, changing the real estate technologies could change system dynamics and improve real estate market transparency. Moreover, it can be asserted that, in a broader sense, PropTech is beneficial for territorial competition and territorial growth strategies. And lastly, under different institutional arrangements, PropTech can affect the changing structure of the real estate market, the demand for hi-tech, new skills as well as emerging policy challenges for the real estate industry.
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