Linearly Homomorphic Signature Schemes: A Fair Comparison

Digital signatures are used everywhere around us. They are well-studied and have been standardized since 1994. In 2002, Johnson et al. introduced the notion of homomorphic digital signatures, allowing one to perform computations on signed data. These signatures are especially useful for linear network coding, a technique used to improve...

CovertSYS: A systematic covert communication approach for providing secure end-to-end conversation via social networks

While encryption can prevent unauthorized access to a secret message, it does not provide undetectability of covert communications over the public network. Implementing a highly latent data exchange, especially with low eavesdropping/discovery probability, is challenging for practical scenarios, such as social and political movements in...

Efficient Circuits for Permuting and Mapping Packed Values Across Leveled Homomorphic Ciphertexts

Cloud services are an essential part of our digital infrastructure as organizations outsource large amounts of data storage and computations. While organizations typically keep sensitive data in encrypted form at rest, they decrypt it when performing computations, leaving the cloud provider free to observe the data. Unfortunately, access to...

Mitigating Inference Attacks in Collaborative Credit Card Fraud Detection using Secure Multi-Party Selection

The convenient service offered by credit cards and the technological advances in e-commerce have caused the number of online payment transactions to increase daily. With this rising number, the opportunity for fraudsters to obtain cardholder details via online credit card fraud has also increased. As a result, according to the European Central...

Privacy-Preserving Data Aggregation with Probabilistic Range Validation

Privacy-preserving data aggregation protocols have been researched widely, but usually cannot guarantee correctness of the aggregate if users are malicious. These protocols can be extended with zero-knowledge proofs and commitments to work in the malicious model, but this incurs a significant computational cost on the end users, making adoption...

Privacy-Preserving Data Aggregation with Probabilistic Range Validation

Privacy-preserving data aggregation protocols have been researched widely, but usually cannot guarantee correctness of the aggregate if users are malicious. These protocols can be extended with zero-knowledge proofs and commitments to work in the malicious model, but this incurs a significant computational cost on the end users, making adoption...

Preserving privacy through cryptography in online behavioural advertising

Online advertising is a multi-billion dollar industry, forming one of the primary sources of income for many publishers that offer free web content. Online Behavioural Advertising (OBA), the practice of showing advertisements based on individual users' web browsing behaviours, greatly improves the expected effectiveness of advertisements, and is...

Mining encrypted software logs using alpha algorithm

The growing complexity of software with respect to technological advances encourages model-based analysis of software systems for validation and verification. Process mining is one recently investigated technique for such analysis which enables the discovery of process models from event logs collected during software execution. However, the...