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Yiqiao Song

dblp:174/6391 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0007-7662-0870ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Blockchain and cryptocurrency security · 36% Network security · 32% Privacy and data protection · 32%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Blockchain and cryptocurrency security
smart contract security
0.912025
SmartUpdater: Enabling Transparent, Automated, and Secure Maintenance of Stateful Smart Contracts · IEEE Trans. Software Eng. 2025
Software maintenance and evolution
software updates
0.912025
SmartUpdater: Enabling Transparent, Automated, and Secure Maintenance of Stateful Smart Contracts · IEEE Trans. Software Eng. 2025
Network security › intrusion detection and prevention › intrusion detection
deep packet inspection
0.812024
Privacy-Preserving and Lightweight Verification of Deep Packet Inspection in Clouds · IEEE/ACM Trans. Netw. 2024
Privacy and data protection
privacy-preserving computation
0.812024
Privacy-Preserving and Lightweight Verification of Deep Packet Inspection in Clouds · IEEE/ACM Trans. Netw. 2024
Cloud and datacenter computing
cloud security
0.812024
Privacy-Preserving and Lightweight Verification of Deep Packet Inspection in Clouds · IEEE/ACM Trans. Netw. 2024

Methods — techniques the papers use, named apart from their topics

hyperproxy-based maintenance pattern · 1.7delegatecall · 1.7trusted third party · 1.5delayed sampling · 1.5commitment scheme · 1.5
YearPublicationVenuePosition
2025 SmartUpdater: Enabling Transparent, Automated, and Secure Maintenance of Stateful Smart Contracts
abstract
Smart contracts in the Ethereum system are stored tamper-resistant, complicating necessary maintenance for offering new functionalities or fixing security vulnerabilities. Previous contract maintenance approaches mainly focus on logic modification using delegatecall-based patterns. While popular, they fail to handle data state updates (like storage layout changes), leading to impracticality and security risks in real-world applications. To address these challenges, this paper introduces SmartUpdater, a novel toolchain designed for transparent, automated, and secure maintenance of stateful smart contracts. SmartUpdater employs a hyperproxy-based contract maintenance pattern, where the hyperproxy serves as a constant entry and ensures that any state/logic modifications remain transparent to end users. SmartUpdater automates the maintenance process in terms of development streamlining, gas cost efficiency, and state migration verifiability. In extensive evaluations, we show that SmartUpdater can reduce gas consumption in contract maintenance compared with actual maintenance approaches. The evaluations point out the potential of SmartUpdater to significantly simplify the maintenance process for developers.
Xiaoli Zhang 0003, Yiqiao Song, Yuefeng Du 0001, Chengjun Cai, Hongbing Cheng, Ke Xu 0002, Qi Li 0002
IEEE Trans. Software Eng.2
2024 Privacy-Preserving and Lightweight Verification of Deep Packet Inspection in Clouds
abstract
In the trend of network middleboxes as a service, enterprise customers adopt in-the-cloud deep packet inspection (DPI) services to protect networks. As network misconfigurations and hardware failures notoriously exist, recent efforts envision to ensure the execution integrity of DPI services in untrusted clouds. However, they either require enterprise customers to know proprietary DPI rulesets of cloud providers or introduce forbidden overhead in the network context. In the paper, we propose a privacy-preserving and lightweight verification scheme that efficiently checks whether in-the-cloud DPI services run correctly without leaking private DPI rulesets. Particularly, our design introduces one trusted third party to perform privacy-preserving and trustworthy ruleset evaluation and DPI execution verification. Meanwhile, it devises a novel DPI ruleset authentication method that enables tamper-proof DPI operations and facilitates fast proof generation. The proofs can be verified without requiring the verifier to always maintain all rulesets. To further reduce the verification costs while resisting cloud cheating behaviors like bias treatments of packets, it employs a commitment-based delayed sampling mechanism which requires the DPI services to first demonstrate that all packets have been processed before receiving sampling decisions. Moreover, extensive experiments are conducted based on Click modules. The results show that the proposed scheme is practical and only incurs the real-time overhead of 10–20 microseconds.
Xiaoli Zhang 0003, Yiqiao Song, Hongbing Cheng, Ke Xu 0002, Qi Li 0002
IEEE/ACM Trans. Netw.3