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Volume 36, Issue 4December 2024Current Issue
Editor:
  • Jim Woodcock
Guest Editors:
  • Zhe Hou,
  • Yun Liu
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
ISSN:0934-5043
EISSN:1433-299X
Reflects downloads up to 11 Dec 2024Bibliometrics
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SECTION: Special Collection from PRDC 2023
introduction
Open Access
Introduction to the Special Collection from PRDC 2023
Article No.: 18, Pages 1–3https://doi.org/10.1145/3706576

This is a special issue of Formal Aspects of Computing for the 28th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2023).

research-article
Open Access
Using Multi-dimensional Quorums for Optimal Resilience in Multi-resource Blockchains
Article No.: 19, Pages 1–28https://doi.org/10.1145/3665338

Permissionless blockchains commonly use resource challenges to defend against sybil attacks. For example, popular resource challenge designs include Proof-of-Work and Proof-of-Stake. It is well-known that simultaneously exploiting multiple resources can ...

research-article
Open Access
RNA: R1CS Normalization Algorithm Based on Data Flow Graphs for Zero-Knowledge Proofs
Article No.: 20, Pages 1–24https://doi.org/10.1145/3665339

The communities of blockchains and distributed ledgers have been stirred up by the introduction of zero-knowledge proofs (ZKPs). Originally designed as a solution to privacy issues, ZKPs have now evolved into an effective remedy for scalability concerns. ...

research-article
Open Access
SecCT: Secure and Scalable Count Query Models on Encrypted Genomic Data
Article No.: 21, Pages 1–25https://doi.org/10.1145/3670697

Recently, due to the continued reduction in DNA sequencing cost, large-scale genetic samples are being gathered for accelerating predispositions to specific diseases, tailoring treatment of efficient drugs and therapies, and the like. Massive genetic ...

research-article
Open Access
Empirical Architecture Comparison of Two-input Machine Learning Systems for Vision Tasks
Article No.: 22, Pages 1–19https://doi.org/10.1145/3674849

As machine learning models have been deployed in many vision systems, including autonomous vehicles and robots, designing architectures for machine learning systems (MLSs) has emerged as a critical concern. Previous studies have shown that enhancing the ...

research-article
Open Access
Automated Generation of Modular Assurance Cases with the System Assurance Reference Model
Article No.: 23, Pages 1–29https://doi.org/10.1145/3685936

Assurance cases are structured arguments used to demonstrate specific system properties such as safety or security. They are used in many industrial sectors including automotive, aviation and medical devices. Assurance cases are usually divided into ...

research-article
Open Access
Exploring Scalability of BFT Blockchain Protocols through Network Simulations
Article No.: 24, Pages 1–29https://doi.org/10.1145/3689343

Novel Byzantine fault-tolerant (BFT) state machine replication protocols improve scalability for their practical use in distributed ledger technology, where hundreds of replicas must reach consensus. Assessing that BFT protocol implementations meet their ...

research-article
Open Access
PoTR: Accurate and Efficient Proof of Timely-Retrievability for Storage Systems
Article No.: 25, Pages 1–26https://doi.org/10.1145/3685935

The use of remote storage has become prevalent both by organizations and individuals. By relying on third-party storage, such as cloud or peer-to-peer storage services, availability, fault tolerance, and low access latency can be attained in a cost-...

research-article
Open Access
OMAHA: Opportunistic Message Aggregation for pHase-based Algorithms
Article No.: 26, Pages 1–23https://doi.org/10.1145/3698593

In the cloud computing context, several applications run concurrently over the same underlying physical infrastructure. Phase-based algorithms are key building blocks for many distributed applications such as DBMS or transaction validation services. ...

research-article
Open Access
Measurement-Noise Filtering for Automatic Discovery of Flow Splitting Ratios in ISP Networks
Article No.: 27, Pages 1–18https://doi.org/10.1145/3700602

Network telemetry and analytics is essential for providing highly dependable services in modern computer networks. In particular, network flow analytics for internet service provider (ISP) networks allows operators to inspect and reason about traffic ...

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