Federated edge learning model based on multi-level proxy permissioned blockchain by GE Li’na, LI Haiao, WANG Jie

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Federated edge learning model based on multi-level proxy permissioned blockchain by GE Li’na, LI Haiao, WANG Jie

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Cryptographic Techniques in Artificial Intelligence Security: A Bibliometric Review by Hamed Taherdoost, Tuan-Vinh Le, Khadija Slimani

“…Traditional AI systems often lack robust security measures, making them vulnerable to adversarial attacks, data breaches, and privacy violations. Cryptography has emerged as a crucial component in enhancing AI security by ensuring data confidentiality, authentication, and integrity. …”
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SafeTrack: Secure Tracking Protocol for Mobile Sensor Nodes in Unstable Wireless Sensor Networks by Ali Adnan Al-Khazraji, Fatimah Abdulridha Rashid

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Detecting Advanced Persistent Threat Exfiltration With Ensemble Deep Learning Tree Models and Novel Detection Metrics by Xiaojuan Cai, Haibo Zhang, Chuadhry Mujeeb Ahmed, Hiroshi Koide

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Organizations` Responsibility in Maintaining the Security of Personal Data posted Online by Romanian Consumers: an Exploratory Analysis of Facebook and Linkedin by Andreea Ionescu, Laurenţiu-Dan Anghel, Gheorghe Jinga

“…The information was gathered with the help of an online questionnaire, administered to people over 18 years old. It is a very useful and needed tool for Romanian companies, as it presents the users’ point of view, allowing them to find the best and most ethical way to do social data mining or use consumers’ private information, disclosed on such sites. …”
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Privacy Harm and Non-Compliance from a Legal Perspective by Suvineetha Herath, Haywood Gelman, Lisa McKee

“…Increased data mining techniques used to analyze big data have posed significant risks to data security and privacy. …”
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Decentralized Blockchain-Based Authentication and Interplanetary File System-Based Data Management Protocol for Internet of Things Using Ascon by Hiba Belfqih, Abderrahim Abdellaoui

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Fine-grained privacy operation control method for layout documents by Peijie YIN, Fenghua LI, Ben NIU, Haiyang LUO, Bin KUANG, Lingcui ZHANG

“…In view of the problem of privacy information disclosure caused by uncontrolled forwarding in the context of frequent exchange of privacy information, a fine-grained privacy operation control method for layout documents was proposed, which could achieve differentiated fine-grained privacy operation control according to the requirements of the sharer during the sharing process of privacy information.For the received multimodal layout document, the existing privacy operation control strategy was extracted, which combined the current sharer’s use attribute and the receiver’s privacy protection ability and other factors.The privacy operation control strategy was generated iteratively, and an abstract control strategy generation algorithm framework was given.Based on the iterative privacy operation control strategy and combined with specific operation scenarios, the differentiated data-masking control, exchange boundary control and local use control were carried out for different modes of information components, and the abstract privacy operation control algorithm framework was given.A prototype system for privacy operation control of OFD (open fixed-layout document) was developed to verify the above algorithms.The generation and delivery of iterative privacy operation control strategy based on friendship, as well as the differential data-masking control, exchange boundary control and local use control of OFD were implemented in the instant messaging system.…”
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MAD-RAPPEL: Mobility Aware Data Replacement And Prefetching Policy Enrooted LBS by Ajay K. Gupta, Udai Shanker

“…The features of mobile devices are being continuously upgraded to provide quality of services to the mobile user seeking location-based information by allowing the usage of context-aware data. To protect an individual’s location & his information to untrusted entity, a multi-level caching, i.e., Mobility Aware Data Replacement & Prefetching Policy Enrooted LBS using spatial k-anonymity (MAD-RAPPEL) is being proposed in this paper. …”
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Social media in health care- - Ethically challenging - -Dangerous but attractive- -use with caution by Shrikant B. Mali

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Artificial Intelligence and Privacy: The Urgent Need for Children’s Media Literacy by Katharine Sarikakis, Angeliki Chatziefraimidou

“… Protecting children’s privacy continues to challenge policymakers and citizens alike in the media age and debates often point to the need for data protection literacy. …”
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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

“…Among the existing botnet detection methods, whether they extract deterministic traffic interaction features, use DNS traffic, or methods based on raw traffic bytes, these methods focus on the detection performance of the detection model and ignore possible privacy leaks. …”
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An efficient secure predictive demand forecasting system using Ethereum virtual machine by Himani Saraswat, Mahesh Manchanda, Sanjay Jasola

“…The system leverages the Ethereum virtual machine to establish a secure, decentralized, and tamper‐resistant platform for demand prediction while ensuring data integrity and privacy. By utilizing the capabilities of smart contracts and decentralized applications within the Ethereum ecosystem, the proposed system offers an efficient and transparent solution for demand forecasting challenges. …”
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Policy-Based Smart Contracts Management for IoT Privacy Preservation by Mohsen Rouached, Aymen Akremi, Mouna Macherki, Naoufel Kraiem

“…This paper addresses the challenge of preserving user privacy within the Internet of Things (IoT) ecosystem using blockchain technology. …”
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BPS-FL: Blockchain-Based Privacy-Preserving and Secure Federated Learning by Jianping Yu, Hang Yao, Kai Ouyang, Xiaojun Cao, Lianming Zhang

“…To resist malicious gradient attacks, we design a Byzantine-robust aggregation protocol for BPS-FL to realize the cipher-text level secure model aggregation. Moreover, we use a blockchain as the underlying distributed architecture to record all learning processes, which ensures the immutability and traceability of the data. …”
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Exposing privacy risks in indoor air pollution monitoring systems by Singh Krishna, Gujar Shreyash, Chaudhari Sachin, Kumaraguru Ponnurangam

“…Less detailed data like hourly averages, can be used to make meaningful conclusions that might intrude on an individual’s privacy. …”
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Privacy as Invisibility: Pervasive Surveillance and the Privatization of Peer-to-Peer Systems by Francesca Musiani

“…Yet, it also suggests that the richness of today’s landscape of P2P technology development and use, mainly in the field of Internet-based services, opens up new dimensions to the conceptualization of privacy, and may give room to a more articulate definition of the concept as related to P2P technology; one that includes not only the need of protection from external attacks, and the temporary outcomes of the competition between surveillance and counter-surveillance measures, but also issues such as user empowerment through better control over personal information, reconfiguration of data management practices, and removal of intermediaries in sharing and communication activities. …”
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Privacy and security challenges of the digital twin: systematic literature review by Marija Kuštelega, Renata Mekovec, Ahmed Shareef

“…The results indicate that the privacy and security challenges for digital twin implementation are complicated and may be divided into six primary groups: (1) data privacy, (2) data security, (3) data management, (4) data infrastructure and standardization, (5) ethical and moral issues, (6) legal and social issues. …”
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Comprehensive Review on Facets of Cloud Computing in Context of Security and Privacy by Saurabh Aggarwal, Ashish Khanna, Abhilash Maroju

“…Cloud adoption is hampered by the serious security and privacy issues that arise when data and apps are outsourced to unaffiliated cloud providers. …”
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