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Related papers: Securing HPC using Federated Authentication

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Federated Learning enables one to jointly train a machine learning model across distributed clients holding sensitive datasets. In real-world settings, this approach is hindered by expensive communication and privacy concerns. Both of these…

Machine Learning · Statistics 2021-10-19 Constance Beguier , Mathieu Andreux , Eric W. Tramel

Biometric authentication systems are presented as the best way to reach high security levels in controlling access to IT systems or sensitive infrastructures. But several issues are often not taken properly into account. In order for the…

Cryptography and Security · Computer Science 2012-03-05 Alfredo Esposito

Risk-based authentication (RBA) extends authentication mechanisms to make them more robust against account takeover attacks, such as those using stolen passwords. RBA is recommended by NIST and NCSC to strengthen password-based…

Cryptography and Security · Computer Science 2023-01-05 Stephan Wiefling , Jan Tolsdorf , Luigi Lo Iacono

This paper proposes a frictionless authentication system, provides a comprehensive security analysis of and proposes potential solutions for this system. It first presents a system that allows users to authenticate to services in a…

Cryptography and Security · Computer Science 2018-02-21 Mustafa A. Mustafa , Aysajan Abidin , Enrique Argones Rúa

Federated learning is a method used in machine learning to allow multiple devices to work together on a model without sharing their private data. Each participant keeps their private data on their system and trains a local model and only…

Cryptography and Security · Computer Science 2025-04-07 Feiran Yang

Passwords are a fragile, inadequate, and insecure tool for authenticating users, and are especially fraught with problems when used to secure access to network resources and services. In many cases, passwords provide a false sense of…

Cryptography and Security · Computer Science 2012-09-06 Travis Z. Suel

We present the first general construction of a Multi-Factor Key Derivation Function (MFKDF). Our function expands upon password-based key derivation functions (PBKDFs) with support for using other popular authentication factors like TOTP,…

Cryptography and Security · Computer Science 2023-08-31 Vivek Nair , Dawn Song

The Public Key Infrastructure(PKI) provides facilities for data encryption, digital signature and time stamping. It is a system where different authorities verify and authenticate the validity of each participant with the use of digital…

Cryptography and Security · Computer Science 2012-10-11 Balachandra Muniyal , K. V. Prema , Mamatha Balachandra

The security of TLS depends on trust in certificate authorities, and that trust stems from their ability to protect and control the use of a private signing key. The signing key is the key asset of a certificate authority (CA), and its…

Cryptography and Security · Computer Science 2017-10-11 Bargav Jayaraman , Hannah Li , David Evans

Passwordless authentication has revolutionized the way we authenticate across various websites and services. FIDO2 Passkeys, is one of the most-widely adopted standards of passwordless authentication that promises phishing-resistance.…

Cryptography and Security · Computer Science 2025-12-29 Aditya Mitra , Sibi Chakkaravarthy Sethuraman

This paper studies privacy-preserving weighted federated learning within the oracle-aided multi-party computation (MPC) framework. The contribution of this paper mainly comprises the following three-fold: In the first fold, a new notion…

Cryptography and Security · Computer Science 2020-04-09 Huafei Zhu , Zengxiang Li , Mervyn Cheah , Rick Siow Mong Goh

The authentication field is evolving towards mechanisms able to keep users continuously authenticated without the necessity of remembering or possessing authentication credentials. While existing continuous authentication systems have…

Secure Multiparty Computation (MPC) can improve the security and privacy of data owners while allowing analysts to perform high quality analytics. Secure aggregation is a secure distributed mechanism to support federated deep learning…

Cryptography and Security · Computer Science 2022-05-04 Timothy Stevens , Joseph Near , Christian Skalka

Anonymity is an important principle online. However, malicious actors have long used misleading identities to conduct fraud, spread disinformation, and carry out other deceptive schemes. With the advent of increasingly capable AI, bad…

The development in the area of wireless communication, mobile and embedded computing leads to significant changes in the application of devices. Over the last years, embedded devices were brought into the consumer area creating the Internet…

Cryptography and Security · Computer Science 2019-05-30 Simon Duque Anton , Daniel Fraunholz , Christoph Lipps , Khurshid Alam , Hans Dieter Schotten

In the era of pervasive cyber threats and exponential growth in digital services, the inadequacy of single-factor authentication has become increasingly evident. Multi-Factor Authentication (MFA), which combines knowledge-based factors…

Cryptography and Security · Computer Science 2025-10-08 Abdelilah Ganmati , Karim Afdel , Lahcen Koutti

Cloud computing changed the way of computing as utility services offered through public network. Selecting multiple providers for various computational requirements improves performance and minimizes cost of cloud services than choosing a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-13 Thiruselvan Subramanian , Nickolas Savarimuthu

The ongoing transition from a linear (produce-use-dispose) to a circular economy poses significant challenges to current state-of-the-art information and communication technologies. In particular, the derivation of integrated, high-level…

Machine Learning · Statistics 2022-11-07 Du Nguyen Duy , David Gabauer , Ramin Nikzad-Langerodi

Anonymous Single-Sign-On authentication schemes have been proposed to allow users to access a service protected by a verifier without revealing their identity which has become more important due to the introduction of strong privacy…

Cryptography and Security · Computer Science 2018-04-20 Jinguang Han , Liqun Chen , Steve Schneider , Helen Treharne , Stephan Wesemeyer

Federated learning (FL) provides an efficient paradigm to jointly train a global model leveraging data from distributed users. As local training data comes from different users who may not be trustworthy, several studies have shown that FL…

Cryptography and Security · Computer Science 2024-01-02 Chulin Xie , Yunhui Long , Pin-Yu Chen , Qinbin Li , Arash Nourian , Sanmi Koyejo , Bo Li
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