Auto-ID enabled tracking and tracing data sharing over dynamic B2B and B2G relationships

RFID 2011 collocated with the 2011 IEEE MTT-S International Microwave Workshop Series on Millimeter Wave Integration Technologies (IMWS 2011)Growing complexity and uncertainty are still the key challenges enterprises are facing in managing and re-engineering their existing supply chains. To tackle these challenges, they are continuing innovating management practices and piloting emerging technologies for achieving supply chain visibility, agility, adaptability and security. Nowadays, subcontracting has already become a common practice in modern logistics industry through partnership establishment between the involved stakeholders for delivering consignments from a consignor to a consignee. Companies involved in international supply chain are piloting various supply chain security and integrity initiatives promoted by customs to establish trusted business-to-customs partnership for facilitating global trade and cutting out avoidable supply chain costs and delays due to governmental regulations compliance and unnecessary customs inspection. While existing Auto-ID enabled tracking and tracing solutions are promising for implementing these practices, they provide few efficient privacy protection mechanisms for stakeholders involved in the international supply chain to communicate logistics data over dynamic business-to-business and business-government relationships. A unified privacy protection mechanism is proposed in this work to fill in this gap. © 2011 IEEE.published_or_final_versio

Provenance-based Auditing of Private Data Use

Across the world, organizations are required to comply with regulatory frameworks dictating how to manage personal information. Despite these, several cases of data leaks and exposition of private data to unauthorized recipients have been publicly and widely advertised. For authorities and system administrators to check compliance to regulations, auditing of private data processing becomes crucial in IT systems. Finding the origin of some data, determining how some data is being used, checking that the processing of some data is compatible with the purpose for which the data was captured are typical functionality that an auditing capability should support, but difficult to implement in a reusable manner. Such questions are so-called provenance questions, where provenance is defined as the process that led to some data being produced. The aim of this paper is to articulate how data provenance can be used as the underpinning approach of an auditing capability in IT systems. We present a case study based on requirements of the Data Protection Act and an application that audits the processing of private data, which we apply to an example manipulating private data in a university

Quantum surveillance and 'shared secrets'. A biometric step too far? CEPS Liberty and Security in Europe, July 2010

It is no longer sensible to regard biometrics as having neutral socio-economic, legal and political impacts. Newer generation biometrics are fluid and include behavioural and emotional data that can be combined with other data. Therefore, a range of issues needs to be reviewed in light of the increasing privatisation of ‘security’ that escapes effective, democratic parliamentary and regulatory control and oversight at national, international and EU levels, argues Juliet Lodge, Professor and co-Director of the Jean Monnet European Centre of Excellence at the University of Leeds, U

Multi-authority attribute-based keyword search over encrypted cloud data

National Research Foundation (NRF) Singapore; AXA Research Fun

Privacy in the Genomic Era

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical services. While the benefits of the genomics revolution are trumpeted by the biomedical community, the increased availability of such data has major implications for personal privacy; notably because the genome has certain essential features, which include (but are not limited to) (i) an association with traits and certain diseases, (ii) identification capability (e.g., forensics), and (iii) revelation of family relationships. Moreover, direct-to-consumer DNA testing increases the likelihood that genome data will be made available in less regulated environments, such as the Internet and for-profit companies. The problem of genome data privacy thus resides at the crossroads of computer science, medicine, and public policy. While the computer scientists have addressed data privacy for various data types, there has been less attention dedicated to genomic data. Thus, the goal of this paper is to provide a systematization of knowledge for the computer science community. In doing so, we address some of the (sometimes erroneous) beliefs of this field and we report on a survey we conducted about genome data privacy with biomedical specialists. Then, after characterizing the genome privacy problem, we review the state-of-the-art regarding privacy attacks on genomic data and strategies for mitigating such attacks, as well as contextualizing these attacks from the perspective of medicine and public policy. This paper concludes with an enumeration of the challenges for genome data privacy and presents a framework to systematize the analysis of threats and the design of countermeasures as the field moves forward

Private set intersection: A systematic literature review

Secure Multi-party Computation (SMPC) is a family of protocols which allow some parties to compute a function on their private inputs, obtaining the output at the end and nothing more. In this work, we focus on a particular SMPC problem named Private Set Intersection (PSI). The challenge in PSI is how two or more parties can compute the intersection of their private input sets, while the elements that are not in the intersection remain private. This problem has attracted the attention of many researchers because of its wide variety of applications, contributing to the proliferation of many different approaches. Despite that, current PSI protocols still require heavy cryptographic assumptions that may be unrealistic in some scenarios. In this paper, we perform a Systematic Literature Review of PSI solutions, with the objective of analyzing the main scenarios where PSI has been studied and giving the reader a general taxonomy of the problem together with a general understanding of the most common tools used to solve it. We also analyze the performance using different metrics, trying to determine if PSI is mature enough to be used in realistic scenarios, identifying the pros and cons of each protocol and the remaining open problems.This work has been partially supported by the projects: BIGPrivDATA (UMA20-FEDERJA-082) from the FEDER Andalucía 2014– 2020 Program and SecTwin 5.0 funded by the Ministry of Science and Innovation, Spain, and the European Union (Next Generation EU) (TED2021-129830B-I00). The first author has been funded by the Spanish Ministry of Education under the National F.P.U. Program (FPU19/01118). Funding for open access charge: Universidad de Málaga/CBU

Advances in Information Security and Privacy

With the recent pandemic emergency, many people are spending their days in smart working and have increased their use of digital resources for both work and entertainment. The result is that the amount of digital information handled online is dramatically increased, and we can observe a significant increase in the number of attacks, breaches, and hacks. This Special Issue aims to establish the state of the art in protecting information by mitigating information risks. This objective is reached by presenting both surveys on specific topics and original approaches and solutions to specific problems. In total, 16 papers have been published in this Special Issue

A Solution for Privacy-Preserving and Security in Cloud for Document Oriented Data (By Using NoSQL Database)

Cloud computing delivers massively scalable computing resources as a service with Internet based technologies those can share resources within the cloud users. The cloud offers various types of services that majorly include infrastructure as services, platform as a service, and software as a service and security as a services and deployment model as well. The foremost issues in cloud data security include data security and user privacy, data protection, data availability, data location, and secure transmission. In now day, preserving-privacy of data and user, and manipulating query from big-data is the most challenging problem in the cloud. So many researches were conducted on privacy preserving techniques for sharing data and access control; secure searching on encrypted data and verification of data integrity. This work  included preserving-privacy of document oriented data security, user privacy in the three phases those are data security at rest, at process and at transit by using Full Homomorphic encryption and decryption scheme to achieve afore most mentioned goal. This work implemented on document oriented data only by using NoSQL database and  the encryption/decryption algorithm such as RSA and Paillier’s cryptosystem in Java package with MongoDB, Apache Tomcat Server 9.1, Python, Amazon Web Service mLab for MongoDB as remote server.  Keywords: Privacy-Preserving, NoSQL, MongoDB, Cloud computing, Homomorphic encryption/decryption, public key, private key, RSA Algorithm, Paillier’s cryptosystem DOI: 10.7176/CEIS/11-3-02 Publication date:May 31st 202