• Title/Summary/Keyword: Content Store

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A Study on Fake Data Filtering Method of CCN (콘텐츠 중심 네트워킹 환경에서의 Fake Data Filtering Method 연구)

  • Kim, DaeYoub
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.1
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    • pp.155-163
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    • 2014
  • To enhance network efficiency, content-centric networking (CCN) proposes that intermediated network nodes on a content-delivery path temporally cache transmitted contents. Then if an intermediated node receives a content request message (Interest) for previously cached content, the node directly transmits the cached content as a response message (Data) to requestors and finishes the transmission of the received Interest. Since Interest is performed by intermediated network nodes, it is possible to efficiently transmit contents and to effectively solve a network congestion problem caused around contents sources. For that, CCN utilizes both content store to temporarily cache content and pending Interest table (PIT) to record Interest incoming Face. However, it has mentioned the possibility of denial service attack using both the limitation of PIT resource and fake Interests. In this paper, we briefly describe the presented PIT flooding attack utilizing fake Interest. Then we introduce new attack possibility using fake Data and propose a countermeasure for the proposed attack. Also we evaluate the performance of our proposal.

Prediction of Temperature, Moisture Content and Quality Changes in Stored Bulk Rough Rice (시뮬레이션에 의한 산물(散物) 저장(貯藏) 벼의 온도(溫度), 함수율(含水率) 및 품질변화(品質變化)의 예측(豫測))

  • Keum, D.H.;Kim, J.Y.
    • Journal of Biosystems Engineering
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    • v.16 no.1
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    • pp.49-59
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    • 1991
  • A numerical model was developed to predict grain temperature, moisture content, and drymatter loss of rough rice in a grain storage bin. This model simulated conduction, natural convection, and mass transfer occuring inside a storage bin. The results obtained from the study were as follows. 1. The predicticted results agreed well with the measured results. 2. Rough rice could be store safely for one year in Suweon, Dajeon, and Jingu area. 3. Aeration of 5-day was required to control grain temperature and moisture content rise early in Jun and July, respectively.

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A Micro-Webpage Stored in NFC Tag (NFC태그에 저장 가능한 마이크로 웹페이지)

  • Choi, BokDong;Eun, SeongBae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.7 no.1
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    • pp.1-7
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    • 2012
  • A Smartphone has an ability accessing Internet by URL stored in NFC(Near Field Communication) Tag for storing the information of items, blogs and web pages. Because the system works through the Internet with URL, however, it needs to pay some costs like communication fee and time. If we can store the web page on the tags, we can save the communication overhead. But they have too small memory to store it. In this paper, we introduce the Micro-Webpage technology which can be stored in NFC tag or QR(Quick Response) code. To make a Micro-Webpage, we remove control tags from the web page to leave a user original content. The removed control tags are stored in our smartphone application as a template. The user content is also compressed to a smaller one by an lossless compression algorithm. When a tag is read, the stored content is decompressed and, it is combined with the template to make the original web page. We have implemented a prototype of Micro-Webpage system on Android platform and confirmed that the prototype has reasonable performance improvements in saving memory and loading web page time.

Meta's Metaverse Platform Design in the Pre-launch and Ignition Life Stage

  • Song, Minzheong
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.121-131
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    • 2022
  • We look at the initial stage of Meta (previous Facebook)'s new metaverse platform and investigate its platform design in pre-launch and ignition life stage. From the Rocket Model (RM)'s theoretical logic, the results reveal that Meta firstly focuses on investing in key content developers by acquiring virtual reality (VR), video, music content firms and offering production support platform of the augmented reality (AR) content, 'Spark AR' last three years (2019~2021) for attracting high-potential developers and users. In terms of three matching criteria, Meta develops an Artificial Intelligence (AI) powered translation software, partners with Microsoft (MS) for cloud computing and AI, and develops an AI platform for realistic avatar, MyoSuite. In 'connect' function, Meta curates the game concept submitted by game developers, welcomes other game and SNS based metaverse apps, and expands Horizon Worlds (HW) on VR devices to PCs and mobile devices. In 'transact' function, Meta offers 'HW Creator Funding' program for metaverse, launches the first commercialized Meta Avatar Store on Meta's conventional SNS and Messaging apps by inviting all fashion creators to design and sell clothing in this store. Mata also launches an initial test of non-fungible token (NFT) display on Instagram and expands it to Facebook in the US. Lastly, regarding optimization, especially in the face of recent data privacy issues that have adversely affected corporate key performance indicators (KPIs), Meta assures not to collect any new data and to make its privacy policy easier to understand and update its terms of service more user friendly.

Effects of Buyer Position on Job Performance and Store Performance in Power Retailers (대형소매점 구매담당자의 PAQ차원이 업무성과 및 점포성과에 미치는 영향에 관한 연구)

  • Park, Yeung-Kurn;Kim, Tae-Sik
    • Journal of Global Scholars of Marketing Science
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    • v.7
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    • pp.209-238
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    • 2001
  • Objectives of this study were: First, to review the effect of buyer position in power retailer on job performance and store performance. Second, to set up research model specifying relationships between the PAQ dimensions of retailer's buyer, job performance and store performance. Third, to test hypotheses derived from the research model of this study and to establish strategy for managing discount store and department store. Marketing Implications of this study were: First, buyers of power retailers should respond more actively to rapidly changing purchasing situation. Second, job content of buyers in power retailers can be redesigned based upon results of this study. Third, as the size and the length of operation of retailers increase, an innovative system should be invented to enhance the effectiveness of power retailers. Limitations of this study were: First, validity and reliability of data collection methods used in this study were questionable for the lack of past researches in Korea. Second, static research method was employed in this study. Generalization over different time interval was almost impossible from results of this study.

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Case Study on Fashion Brand Flagship Store in Metaverse -Focusing on Fashion Brand in ZEPETO- (패션 브랜드 메타버스 플래그십 스토어 사례연구 -제페토(ZEPETO) 내 패션 브랜드를 중심으로-)

  • Kim, Woo Bin;Hur, Hee Jin;Choo, Ho Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.3
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    • pp.545-563
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    • 2022
  • Metaverse is a digitally generated world beyond the physical realm; many fashion brands are launching virtual stores in Metaverse. This study explores the cases of flagship stores of fashion brands in Metaverse to understand the peculiarity of Metaverse retailing. This study selected four flagship stores of fashion brands launched on ZEPETO, the largest Metaverse platform in Korea. The characteristics of Metaverse retailing used for case analysis were store (store credibility, servicescape, ease of use), product (content, demos, incentives), social factor (store personnel, store customers), and entertainment (events, games, free gifts). The results illustrate that a transaction system linked to reality could not be established due to technical limitations; it was difficult to obtain specific product information, such as the color, size, and fabric. However, all four fashion brands overwhelmed the traditional retail channels in terms of providing various spatial experiences by operating their virtual stores in global cities related to the heritage and identity of each brand. Furthermore, fashion brands can convey a sense of deviation and fantasy to consumers by delivering unique entertainment activities in Metaverse that they cannot easily provide in real life.

An Automatic and Scalable Application Crawler for Large-Scale Mobile Internet Content Retrieval

  • Huang, Mingyi;Lyu, Yongqiang;Yin, Hao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.4856-4872
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    • 2018
  • The mobile internet has grown ubiquitous across the globe with the widespread use of smart devices. However, the designs of modern mobile operating systems and their applications limit content retrieval with mobile applications. The mobile internet is not as accessible as the traditional web, having more man-made restrictions and lacking a unified approach for crawling and content retrieval. In this study, we propose an automatic and scalable mobile application content crawler, which can recognize the interaction paths of mobile applications, representing them as interaction graphs and automatically collecting content according to the graphs in a parallel manner. The crawler was verified by retrieving content from 50 non-game applications from the Google Play Store using the Android platform. The experiment showed the efficiency and scalability potential of our crawler for large-scale mobile internet content retrieval.

Implementation of Digital Contents Safety Trade System using Encryption Technology (암호 기술을 이용한 디지털 콘텐츠 안전 거래 시스템 구현)

  • Yang, Jeong Mo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.4
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    • pp.119-125
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    • 2013
  • The amount of digital content grows exponentially by the development of the internet and the change of computing environments and the target also is getting wider. The industry using this digital content has been growing greatly. However, the distribution of pirated digital content is increasing using internet because digital content is easy to store and transmit and the damage is growing. In this paper, we propose safety trading system which can conceal the author's information safely in digital content in order to block illegal distribution of digital content. ARIA encryption algorithm is used to protect the concealed information of author in digital content and it is a help to track the illegal traders by doing fingerprinting of buyer information to digital content and managing the transaction information. The technical support for copyright dispute is to allow by providing the capability to verify illegal edit to original digital contents.

Provider's Mobility Supporting Proactive Neighbor Pushing Scheme in CCN (CCN에서 정보제공자의 이동성 지원을 위한 푸싱 기법)

  • Woo, Taehee;Kwon, Taewook
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.6
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    • pp.721-729
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    • 2016
  • CCN(Content-Centric Network) enables users to retrieve content using the content's name. Researchers face critical challenges in terms of mobility. Since the routing information is part of the content name, when the provider moves, it is necessary to update all the routers routing information. However, this requires significant costs. In this paper, we propose PNPCCN(Proactive Neighbor Pushing CCN), considering the popularity and rarity of mobility support, for providers in CCN environments. Via simulation studies, we demonstrate that our solutions are effective in terms of shorter numbers of retransmitted Interest packets, and average download times and higher delivery ratios during mobility.

Design and Evaluation of a Hierarchical Hybrid Content Delivery Scheme using Bloom Filter in Vehicular Cloud Environments (차량 클라우드 환경에서 블룸 필터를 이용한 계층적 하이브리드 콘텐츠 전송 방법의 설계 및 평가)

  • Bae, Ihn-Han
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1597-1608
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    • 2016
  • Recently, a number of solutions were proposed to address the challenges and issues of vehicular networks. Vehicular Cloud Computing (VCC) is one of the solutions. The vehicular cloud computing is a new hybrid technology that has a remarkable impact on traffic management and road safety by instantly using vehicular resources. In this paper, we study an important vehicular cloud service, content-based delivery, that allows future vehicular cloud applications to store, share and search data totally within the cloud. We design a VCC-based system architecture for efficient sharing of vehicular contents, and propose a Hierarchical Hybrid Content Delivery scheme using Bloom Filter (H2CDBF) for efficient vehicular content delivery in Vehicular Ad-hoc Networks (VANETs). The performance of the proposed H2CDBF is evaluated through an analytical model, and is compared to the proactive content discovery scheme, Bloom-Filter Routing (BFR).