Experience-Based Access Control in UbiComp: A New Paradigm

Experience is a sociological concept and builds over time. In a broader sense, the human-centered equivalents of experience and trust apply to D2D interaction. Ubiquitous computing (UbiComp) embeds intelligence and computing capabilities in everyday objects to make them effectively communicate, share resources, and perform useful tasks. The safety of resources is a serious problem. As a result, authorization and access control in UbiComp is a significant challenge. Our work presents experience as an outcome of history (HI), reliability (RL), transitivity (TR), and Ubiquity (UB). This experience model is easily adaptable to a variety of self-regulating context-aware access control systems. This paper proposes a framework for Experience-Based Access Control (EX-BAC) with all major services provided by the model. EX-BAC extends attribute-based access control. It uses logical device type and experience as context parameters for policy design. When compared with the state-of-the-art, EX-BAC is efficient with respect to response time.

Evolutionary Experience-Driven Particle Swarm Optimization with Dynamic Searching

Particle swarm optimization(PSO)algorithms have been successfully used for various complex optimization problems.However,balancing the diversity and convergence is still a problem that requires continuous research.Therefore,an evolutionary experience-driven particle swarm optimization with dynamic searching(EEDSPSO)is proposed in this paper.For purpose of extracting the effective information during population evolution,an adaptive framework of evolutionary experience is presented.And based on this framework,an experience-based neighborhood topology adjustment(ENT)is used to control the size of the neighborhood range,thereby effectively keeping the diversity of population.Meanwhile,experience-based elite archive mechanism(EEA)adjusts the weights of elite particles in the late evolutionary stage,thus enhancing the convergence of the algorithm.In addition,a Gaussian crisscross learning strategy(GCL)adopts cross-learning method to further balance the diversity and convergence.Finally,extensive experiments use the CEC2013 and CEC2017.The experiment results show that EEDSPSO outperforms current excellent PSO variants.

Green Tourism in Japan: Opportunities for a GIAHS Pilot Site

Numerous studies have looked at sustainable tourism as the key to balancing environmental conservation and development in agricultural heritage sites.A microcosm of the traditional rural productive landscape,the Noto Satoyama Satoumi landscape has been designated as a pilot site for the Globally Important Agricultural Heritage System （GIAHS） in Japan.This paper discusses the challenges and opportunities of green tourism,focusing on the GIAHS program.The secondary objective is to explore the features of green tourism in Japan.First,the historic development and current state of green tourism in Japan is reviewed.The case in study is a typical green tourism project concerning an organization of farmers in the Noto Peninsula-the Shunran-no-Sato group.The question of how to develop green tourism in the context of the GIAHS project and considering the sustainable development of rural society and its farming systems by increasing incomes of rural households,is investigated.The study combined literature review and in-depth interviews with farm inn owners to investigate tourism development in the depopulated rural areas of Japan,examine its challenges,and present this information to international readers.