Results 31 to 40 of about 1,338 (191)

Thunderbird: Efficient Homomorphic Evaluation of Symmetric Ciphers in 3GPP by combining two modes of TFHE

Transactions on Cryptographic Hardware and Embedded Systems
Hybrid homomorphic encryption (a.k.a., transciphering) can alleviate the ciphertext size expansion inherent to fully homomorphic encryption by integrating a specific symmetric encryption scheme, which requires selected symmetric encryption scheme that ...
Benqiang Wei, Xianhui Lu, Ruida Wang, Kun Liu, Zhihao Li, Kunpeng Wang   +5 more
doaj   +1 more source

Oblivious network intrusion detection systems

Scientific Reports, 2023
A main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being ...
Mahmoud AbdelHafeez Sayed, Mostafa Taha
doaj   +1 more source

Secure Token–Key Implications in an Enterprise Multi-Tenancy Environment Using BGV–EHC Hybrid Homomorphic Encryption

, 2022
Authentication, authorization, and data access control are playing major roles in data security and privacy. The proposed model integrated the multi-factor authentication–authorization process with dependable and non-dependable factors and ...
Rajakumar Ramalingam, Ahmed Saeed AlGhamdi, Abdullah Alshehri, Mamoon Rashid, Pooja Dhiman, Ankur Dumka, Rajesh Singh, Anita Gehlot, Santosh Kumar Henge, Sultan S. Alshamrani   +9 more
core   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

On the Feasibility of Hybrid Homomorphic Encryption for Intelligent Transportation Systems

CoRR
Many Intelligent Transportation Systems (ITS) applications require strong privacy guarantees for both users and their data. Homomorphic encryption (HE) enables computation directly on encrypted messages and thus offers a compelling approach to privacy-preserving data processing in ITS.
Kyle Yates, Abdullah Al Mamun, Mashrur Chowdhury   +2 more
openaire   +2 more sources

Research on data security protection and risk identification technology for industrial information systems [PDF]

Zhihui kongzhi yu fangzhen
With the development of Industry 4.0 and smart manufacturing, industrial information systems face increasingly complex security threats, especially in data security and risk identification.
CHEN Shufan, QIAN Cheng, ZHAO Bingying, CAO Hao
doaj   +1 more source

Presto: Hardware Acceleration of Ciphers for Hybrid Homomorphic Encryption

CoRR
Hybrid Homomorphic Encryption (HHE) combines symmetric key and homomorphic encryption to reduce ciphertext expansion crucial in client-server deployments of HE. Special symmetric ciphers, amenable to efficient HE evaluation, have been developed. Their client-side deployment calls for performant and energy-efficient implementation, and in this paper we ...
Yeonsoo Jeon, Mattan Erez, Michael Orshansky   +2 more
openaire   +2 more sources

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Personalisation‐Privacy Paradox: Systematic Review and Survey Evidence on Personal Data Stores

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The personalisation–privacy paradox captures the tension between using personal data for personalised services and respecting individuals' privacy. This study adopts a holistic research framework to clarify the paradox's core challenges, review existing approaches, and examine a user‐centric solution.
Ming‐Wei Hsu, Glenn Parry, Irene Ng
wiley   +1 more source

Comparative AI‐Based Framework for Name‐Based Demographic Inference in the Indian Subcontinent

Engineering Reports, Volume 8, Issue 6, June 2026.
A multi‐task framework of five AI models (SVM, XGBoost, LightGBM, BiLSTM, and XLM‐RoBERTa) infers nationality, religion, and gender from personal names across seven Indian subcontinent countries. Character‐level TF‐IDF with SVM achieves the highest accuracy: 83.23% for nationality, 92.94% for religion, and 92.67% for gender across 7581 names.
Sherin Sultana, Zaed Bin Monir Atib, Md. Omur Faruk Redoy, Md. Ataur Rahman, Mohammad Shorif Uddin, Md. Tarek Habib   +5 more
wiley   +1 more source