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Keyword: PrivacyMulti Attribute Stratified Sampling: An Automated Framework for Privacy-Preserving Healthcare Data Publishing with Multiple Sensitive Attributes
The accumulation and analysis of large-scale patient data have led to breakthrough discoveries in potential flags for diseases based on pattern recognition, highlight medication efficacy, and local population health trends that would be impossible with traditional paper-based records. However, these benefits come with unique challenges posed by the application of data sharing for research and…
Read MoreFederated Learning with Differential Privacy and Blockchain for Security and Privacy in IoMT A Theoretical Comparison and Review
The growing integration of the Internet of Medical Things (IoMT) into healthcare has amplified the need for secure and privacy-preserving artificial intelligence. Federated Learning (FL) has emerged as a pivotal paradigm for decentralized medical data processing; however, it still faces challenges concerning data confidentiality, trust management, and scalability. This review presents an extended theoretical comparison…
Read MoreExploring Current Challenges on Security and Privacy in an Operational eHealth Information System
Bearing in mind that patient data is extremely sensitive, it is crucial to establish strong protection when the security and privacy of healthcare data are concerned. Prioritizing data security and privacy is essential for the overall healthcare industry in order to maintain the reliability of electronic healthcare (eHealth) information systems. This study explores the gathered…
Read MoreOntology Based Privacy Preservation over Encrypted Data using Attribute-Based Encryption Technique
The web documents are automatically interacting to discover the information by web mining, which is one of the applications of Cloud Computing (CC) technologies. These documents may be in the form of structured, semi-structured, or unstructured formats. In current web technologies, the Semantic Web is an extension for better enabling the people and computers to…
Read MoreTime Granularity-based Privacy Protection for Cloud Metering Systems
Due to the advent of cloud computing and Internet of Things, smart meters have become a crucial part of smart cities. Smart meters generate vast amounts of fine-grained data that can immediately provide useful information to electricity consumers, such as automatic billing, load monitoring, and dynamic time pricing. This will make the electricity consumers more…
Read MoreEvolution of Privacy Preservation Models in Location-Based Services
Location-based services have become increasingly prevalent with the advancement in the positioning capabilities of smart devices and their emergence in social networking. In order to acquire a service, users must submit their identity, query interest and location details to service providers. Such information shared by users are accumulated continuously, stored and analyzed in order to…
Read MoreComparison Analysis between Mobile Banking and Mobile Payment as Determinant Factors of Customer Privacy
Mobile banking and mobile payment are currently always used by customers for financial payments. With customer payments, it is usually easier to make payments with mobile payment, because it is more practical and direct than mobile banking. However, is the privacy of both platforms understood by the customer? Research questions to be answered: 1) What…
Read MoreA Comprehensive Study of Privacy Preserving Techniques in Cloud Computing Environment
The huge growth in cloud storage utilization over the past years has made a big demand for an advanced technique and strong tools to make services even more practical and secure. Data privacy in cloud computing has become one of the biggest concerns for both individuals and organizations which adds more pressure on cloud service…
Read MoreUsing Privacy Enhancing and Fine-Grained Access Controlled eKYC to implement Privacy Aware eSign
eSign is an online electronic signature service which is recently gaining more prominence in India. eSign is based on two online services from UIDAI, viz. a viz., Aadhaar based authentication and retrieval of resident’s eKYC information after taking his/her consent. With increased adoption of Aadhaar based services, privacy of user data has become more and…
Read MoreHolistic Access Control and Privacy Infrastructure in Distributed Environment
This article discusses IoT security in situations whereby devices do not share the same security domains, which raises security, privacy and safety concerns. It then presents an Access Control and Privacy infrastructure for addressing these concerns in the context of distributed environments. IoT deployments allow billions of connected physical devices to collect, process and share…
Read MorePrivacy-by-Design (PbD) IoT Framework : A Case of Location Privacy Mitigation Strategies for Near Field Communication (NFC) Tag Sensor
Near Field Communication (NFC) technology is a short range (range about 10cm) standard extended from the core standard Radio Frequency Identifier (RFID). These technologies are a portion of wireless communication technology. Even though NFC technologies benefit in various field, but it’s still exposed to multiple type of privacy attacks and threat as well since the…
Read MoreCross layers security approach via an implementation of data privacy and by authentication mechanism for mobile WSNs
To implement a new secure network with high mobility and low energy consumption, we use smart sensors. These sensors are powered by micro batteries generally non rechargeable. So, to extend their lifetime, it is necessary to implement new energy conservation techniques. Existing works separate the two features (security, energy conservation) and are interested specifically in…
Read MoreA Multi-class Acoustic Dataset and Interactive Tool for Analyzing Drone Signatures in Real-World Environments
The rapid proliferation of drones across various industries has introduced significant challenges related to privacy, security, and noise pollution. Current drone detection systems, primarily based on visual and radar technologies, face limitations under certain conditions, highlighting the need for effective acoustic-based detection methods. This paper presents a unique and comprehensive dataset of drone acoustic signatures,…
Read MoreMulti-Layered Machine Learning Model For Mining Learners Academic Performance
Different colleges and universities have different approaches to dealing with low-performance learners. However, in most cases, analgesics do not deal with root problems. This research suggests a model of three layers of variables sequentially adaptable to a deep-root issue. The suggested model can identify early pupils who could be at risk because of inaccurate or…
Read MoreProfiling Attack on WiFi-based IoT Devices using an Eavesdropping of an Encrypted Data Frames
The rapid advancement of the Internet of Things (IoT) is distinguished by heterogeneous technologies that provide cutting-edge services across a range of application domains. However, by eavesdropping on encrypted WiFi network traflc, attackers can infer private information such as the types and working status of IoT devices in a business or residential home. Moreover, since…
Read MoreLeakage-abuse Attacks Against Forward Private Searchable Symmetric Encryption
Dynamic Searchable Symmetric Encryption (DSSE) methods address the problem of securely outsourcing updating private data into a semi-trusted cloud server. Furthermore, Forward Privacy (FP) notion was introduced to limit data leakage and thwart the related attacks on DSSE approaches. FP schemes ensure previous search queries cannot be linked to future updates and newly added files.…
Read MoreEthical Implications and Challenges in using Social Media: A Comprehensive Study
The technological revolution penetrates every aspect of our dailylives; it changed our lives in different fields such as communication, decision-making, information access and work environment. These changes have benefits, but they also have costs. These costs include many ethical and social problems that need more investigation. The human element is the most affected part of…
Read MoreNode-Node Data Exchange in IoT Devices Using Twofish and DHE
Internet of Things provides the support for devices, people and things to collaborate in collecting, analyzing and sharing sensitive information from one device onto the other through the internet. The internet of things is thriving largely due to access, connectivity, artificial intelligence and machine learning approaches that it supports. The stability and enhanced speed of…
Read MoreFactors Affecting Behavioural Intention to Shop in Self-Service Retail Case Study: JD.ID X Mart
This paper aims to measure the acceptance level of Indonesian customers to JD.ID X retail and to reveal the driving factors of behavioral intention to shop at the retail. JD.ID X is new retail that implements a new shopping technology called Just walk-out technology (JWOT) also known as retail without a cashier. JWOT is one…
Read MoreModified Blockchain based Hardware Paradigm for Data Provenance in Academia
Educational organizations often need to distribute academic transcripts and certificates upon student’s request since they are mandatory for admission into new scholarly programs including placement activities. Manual procedures involved with the transmission process of academic document is indeed a tedious task that results in substantial overhead. Thus the necessity for an autonomous electronic system for…
Read MoreAn Anonymity Preserving Framework for Associating Personally Identifying Information with a Digital Wallet
Growing adoption of cryptocurrencies by institutional investors coupled with recurring incidents of loss of access to digital wallets have resulted in emergence of custodial services for high net worth individuals and institutions. However, such services are not economically feasible for the wider community of crypto owners who are left with no recourse for recovery of…
Read More5G, Vehicle to Everything Communication: Opportunities, Constraints and Future Directions
The 5G, as a new source of telecommunication infrastructure technology, has attracted many stakeholders to promote the progress of its standards and the development of its technology industry. The 5G reinforces new technologies and delivers vehicles for everything services (V2X) to drivers and passengers. It also offers several advantages. On the other hand, due to…
Read MoreAn Overview on CryptDb and Word2vec Approaches
Big data is a vast data set that was used in many areas. Online applications are subject to theft of confidential information because opponents can exploit software errors to access private data, and because curious or malicious officials can capture and lose data. CryptDB is a functional system that provides security and confidentiality through a…
Read MoreMulti-layered Security Design and Evaluation for Cloud-based Web Application: Case Study of Human Resource Management System
Cloud computing is the development of information technology to provides resources that can be accessed through network. Security and privacy in cloud computing are major concern for companies. Therefore, cloud computing architecture strategy and design are needed to reduce costs and ensure the security of company assets in cloud computing. In this study, we are…
Read MoreRisk Management: The Case of Intrusion Detection using Data Mining Techniques
Every institution nowadays relies on their online system and framework to do businesses. Such procedures need more attention due to the massive amount of attacks that occurs. These procedures have to go first through the management team of the institution, in order to prevent exploits of the attackers. Thus, the risk management can easily control…
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