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A blockchain-based framework of cross-border e-commerce supply chain
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2020 | International Journal of Information Management | Citations: 0
Authors: Liu, Zhiyong; Li, Zipei

Abstract: Blockchain technology provides us a new tool to solve the product traceability p ... Expand

Abstract: Blockchain technology provides us a new tool to solve the product traceability problem in supply chain management. This research focuses on the cross-border e-commerce context, to propose a blockchain-based framework, and develop a set of corresponding techniques and methods for achieving traceable products and transactions in supply chain management. A general blockchain-based product traceability framework is introduced. This framework is based on a cross-border e-commerce supply chain context, incorporating a series of blockchain-based models, including multi-chain structure model, data management model and block structure model. Several core methods and algorithms are also developed, such as information anchoring method, key distribution method, information encryption algorithm and anti-counterfeiting method. The framework, models and methods form a complete and comprehensive solution, which are evaluated by applying to several typical problems and attack cases. The case analysis results show that the framework, models and methods can successfully deal with key recover problem, and protect against clone attack, counterfeit tag attack and counterfeit product attack. The effectiveness, extendibility, security, implementation and governance issues of applying these solutions are also discussed. This research contributes to the theoretical and practical literatures on blockchain technology, cross-border e-commerce and supply chain management research fields. Collapse

Semantic filters: Advanced Encryption Standard

Topics: blockchain supply chain management electronic commerce public key encryption Diffie-Hellman key exchange

Methods: computational algorithm theory development case study
Document Verification using Blockchain for Trusted CV Information

2020 | Americas Conference on Information Systems | Citations: 0
Authors: Marella, Venkata; Vijayan, Anoop

Abstract: With the changing landscape of the job market, it is very difficult to secure a ... Expand

Abstract: With the changing landscape of the job market, it is very difficult to secure a job in a company. People manipulate their curriculum vitae with fake information to find a job. Multinational National Companies are investing heavily to verify the background details of the job applicants. But, the background verification process implemented by these companies is extremely costly, time-consuming, and inefficient. To resolve this problem, we present a working prototype of a solution using Design Science Research Methodology where the hash values of all the original documents of a job applicant provided by various organizations are saved on a consortium blockchain. The job applicant's details can be verified during the hiring process by comparing the hash value of the given document with the hash value of the document present on the blockchain. This process is extremely efficient, less time-consuming, and very cheap to implement for all kinds of companies. Collapse

Semantic filters: Advanced Encryption Standard

Topics: blockchain Advanced Encryption Standard information privacy law Python privacy

Methods: design science computational algorithm design artifact design process
Shortening Delivery Times by Predicting Customers' Online Purchases: a Case Study in the Fashion Industry

2020 | HICSS | Citations: 0
Authors: Weingarten, Jennifer; Spinler, Stefan

Abstract: Online retailers still struggle with the disadvantage of delivery times compared ... Expand

Abstract: Online retailers still struggle with the disadvantage of delivery times compared to traditional brick and mortar stores. With the emergence of big data analytics, it has become possible to extract meaningful knowledge from the volume of data that online retailers collect on their website. Nevertheless, limited research exists that investigates how this data can be used to optimize delivery times for customers. The goal of this paper is to develop a prediction model for anticipatory shipping, which predicts customers' online purchases with the aim of shipping products in advance, and subsequently minimize delivery times. Different forecasting methods in combination with k-means clustering are applied to test if, and how early, it is possible to predict online purchases. Results indicate that customer purchases are, to a certain extent, predictable, but anticipatory shipping comes at a high cost due to wrongly sent products. The proposed prediction model can easily be implemented and used to predict purchases, which can also be leveraged for other areas of application besides anticipatory shipping. Collapse

Semantic filters: Advanced Encryption Standard

Topics: logistics management electronic commerce website data quality Advanced Encryption Standard

Methods: support vector machine random forest classification computational algorithm logistic regression binary classification
Evolution of Format Preserving Encryption on IoT Devices: FF1+

2019 | HICSS | Citations: 0
Authors: Baccarini, Alessandro N; Hayajneh, Thaier

Abstract: The Internet of Things (IoT) is a network of interconnected low-power sensing de ... Expand

Abstract: The Internet of Things (IoT) is a network of interconnected low-power sensing devices designed to interact and communicate with each other. To avoid compromising user privacy, it is necessary to encrypt these channels. We introduce Format Preserving Encryption (FPE), a modern cryptosystem that allows full customization of the ciphertext, while offering comparable security to AES. To gauge the performance of FPE, we compare the NIST-approved FF1 algorithm against several symmetric and asymmetric encryption schemes on a Raspberry Pi 3. While suitable for small plaintexts, FF1 breaks down for longer character strings. We propose a modiﬁed algorithm, FF1+, that implements dynamic round selection and key scheduling. Signiﬁcant performance improvements are observed in our results, thus demonstrating FF1+ as a viable cryptosystem for IoT devices. Collapse

Semantic filters: Advanced Encryption Standard

Topics: data encryption internet of things mobile system cryptanalysis Advanced Encryption Standard

Methods: computational algorithm
BPDIMS:A Blockchain-based Personal Data and Identity Management System

2019 | HICSS | Citations: 0
Authors: Faber, Benedict; Michelet, Georg; Weidmann, Niklas; Mukkamala, Raghava Rao; Vatrapu, Ravi

Abstract: Recent scandals on the abuse of personal information from social media platforms ... Expand

Abstract: Recent scandals on the abuse of personal information from social media platforms and numerous user identity data breaches raise concerns about technical, commercial, and ethical aspects of privacy and security of user data. European Union’s new General Data Protection Regulation (GDPR) is one of the largest changes in data privacy regulation and entails several key regulatory measures for both data controllers and data processors to empower and protect EU citizens’ privacy. In this research work, we propose a conceptual design and high-level architecture for a Blockchain-based Personal Data and Identity Management System (BPDIMS), a human-centric and GDPR-compliant personal data and identity management system based on the blockchain technology. We describe how BPDIMS’s architecture utilizes blockchain technology to provide a high-level of security, trust and transparency. We discuss how BPDIM’s human-centric approach with GDPR compliance shifts the control over personal data to the end users and empowers them better. Collapse

Semantic filters: Advanced Encryption Standard

Topics: blockchain identity management General Data Protection Regulation legal context data encryption

Methods: archival research computational algorithm design artifact design guideline design science
Big Data SAVE: Secure Anonymous Vault Environment

2019 | HICSS | Citations: 1
Authors: Soliman, Omar H

Abstract: There has been great progress in taming the volume, velocity and variation of Bi ... Expand

Abstract: There has been great progress in taming the volume, velocity and variation of Big Data. Its volume creates need for increased storage space and improved data handling. Its velocity is concern for the speed and efficiency of applied algorithms and processes. Its variation requires flexibility to handle assorted datatypes. However, as with many emerging fields, security has taken a backseat to benchmarks. This has led to retrofitting traditional security techniques ill-suited for Big Data protection, or high-performance setups exposed to data breach. Proposed is an innovative storage system that can provide large-scale, lowoverhead data security, akin to safe-deposit boxes. This approach allows for anonymously-shared storage space, discrete levels of access, plausible deniability, and customizable degrees of overall protection (including warrant-proof). A promising factor of this new model is the use of a simple encryption algorithm (proven faster than industry-standard ciphers), that provides inherent attack resiliency and strong backward secrecy. Collapse

Semantic filters: Advanced Encryption Standard

Topics: electronic authentication data encryption Advanced Encryption Standard big data computer data storage

Methods: simulation computational algorithm
SecureNoSQL: An approach for secure search of encrypted NoSQL databases in the public cloud
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2017 | International Journal of Information Management | Citations: 0
Authors: Ahmadian, Mohammad; Plochan, Frank; Roessler, Zak; Marinescu, Dan C.

Abstract: a b s t r a c t While many schemes have been proposed to search encrypted relat ... Expand

Abstract: a b s t r a c t While many schemes have been proposed to search encrypted relational databases, less attention has been paid to NoSQL databases. In this paper we report on the design and the implementation of a security scheme called "SecureNoSQL" for searching encrypted cloud NoSQL databases. Our solution is one of the first efforts covering not only data confidentiality, but also the integrity of the datasets residing on a cloud server. In our system a secure proxy carries out the required transformations and the cloud server is not modified. The construction is applicable to all NoSQL data models and, in our experiments, we present its application to a Document-store data model. The contributions of this paper include: (1) a descriptive language based on a subset of JSON notations; (2) a tool to create and parse a security plan consisting of cryptographic modules, data elements, and mappings of cryptographic modules to the data fields; and (3) a query and data validation mechanism based on the security plan. Collapse

Semantic filters: Advanced Encryption Standard

Topics: database system data encryption nosql database cloud computing MongoDB

Methods: data modeling computational algorithm experiment literature study design artifact
Effective distributed service architecture for ubiquitous video surveillance
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2012 | Information Systems Frontiers | Citations: 1
Authors: Chang, Ray-I; Wang, Te-Chih; Wang, Chia-Hui; Liu, Jen-Chang; Ho, Jan-Ming

Abstract: Video surveillance systems are playing an important role to protect lives and as ... Expand

Abstract: Video surveillance systems are playing an important role to protect lives and assets of individuals, enterprises and governments. Due to the prevalence of wired and wireless access to Internet, it would be a trend to integrate present isolated video surveillance systems by applying distributed computing environment and to further gestate diversified multimedia intelligent surveillance (MIS) applications in ubiquity. In this paper, we propose a distributed and secure architecture for ubiquitous video surveillance (UVS) services over Internet and error-prone wireless networks with scalability, ubiquity and privacy. As cloud computing, users consume UVS related resources as a service and do not need to own the physical infrastructure, platform, or software. To protect the service privacy, preserve the service scalability and provide reliable UVS video streaming for end users, we apply the AES security mechanism, multicast overlay network and forward error correction (FEC), respectively. Different value-added services can be created and added to this architecture without introducing much traffic load and degrading service quality. Besides, we construct an experimental test-bed for UVS system with three kinds of services to detect fire and fall-incident features and record the captured video at the same time. Experimental results showed that the proposed distributed service architecture is effective and numbers of services on different multicast islands were successfully connected without influencing the playback quality. The average sending rate and the receiving rates of these services are quite similar, and the surveillance video is smoothly played. Collapse

Semantic filters: Advanced Encryption Standard

Topics: internet technology privacy Advanced Encryption Standard IT security threat wireless LAN

Methods: experiment simulation design artifact support vector machine

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Found 8 articles

A blockchain-based framework of cross-border e-commerce supply chain

Document Verification using Blockchain for Trusted CV Information

Shortening Delivery Times by Predicting Customers' Online Purchases: a Case Study in the Fashion Industry

Evolution of Format Preserving Encryption on IoT Devices: FF1+

BPDIMS:A Blockchain-based Personal Data and Identity Management System

Big Data SAVE: Secure Anonymous Vault Environment

SecureNoSQL: An approach for secure search of encrypted NoSQL databases in the public cloud

Effective distributed service architecture for ubiquitous video surveillance