Derek Leung (MIT CSAIL), Adam Suhl (MIT CSAIL), Yossi Gilad (MIT CSAIL), Nickolai Zeldovich (MIT CSAIL)

Decentralized cryptocurrencies rely on participants to keep track of the state of the system in order to verify new transactions. As the number of users and transactions grows, this requirement becomes a significant burden, requiring users to download, verify, and store a large amount of data to participate.

Vault is a new cryptocurrency design based on Algorand that minimizes these storage and bootstrapping costs for participants. Vault’s design is based on Algorand’s proof-of-stake consensus protocol and uses several techniques to achieve its goals. First, Vault decouples the storage of recent transactions from the storage of account balances, which enables Vault to delete old account state. Second, Vault allows sharding state across participants in a way that preserves strong security guarantees. Finally, Vault introduces the notion of stamping certificates, which allow a new client to catch up securely and efficiently in a proof-of-stake system without having to verify every single block.

Experiments with a prototype implementation of Vault’s data structures show that Vault’s design reduces the bandwidth cost of joining the network as a full client by 99.7% compared to Bitcoin and 90.5% compared to Ethereum when downloading a ledger containing 500 million transactions.

View More Papers

One Engine To Serve 'em All: Inferring Taint Rules...

Zheng Leong Chua (National University of Singapore), Yanhao Wang (TCA/SKLCS, Institute of Software, Chinese Academy of Sciences), Teodora Baluta (National University of Singapore), Prateek Saxena (National University of Singapore), Zhenkai Liang (National University of Singapore), Purui Su (TCA/SKLCS, Institute of Software, Chinese Academy of Sciences)

Read More

YODA: Enabling computationally intensive contracts on blockchains with Byzantine...

Sourav Das (Department of Computer Science and Engineering, Indian Institute of Technology Delhi), Vinay Joseph Ribeiro (Department of Computer Science and Engineering, Indian Institute of Technology Delhi), Abhijeet Anand (Department of Computer Science and Engineering, Indian Institute of Technology Delhi)

Read More

Graph-based Security and Privacy Analytics via Collective Classification with...

Binghui Wang (Iowa State University), Jinyuan Jia (Iowa State University), Neil Zhenqiang Gong (Iowa State University)

Read More

NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage

Wajih Ul Hassan (NEC Laboratories America, Inc.; University of Illinois at Urbana–Champaign), Shengjian Guo (Virginia Tech), Ding Li (NEC Laboratories America, Inc.), Zhengzhang Chen (NEC Laboratories America, Inc.), Kangkook Jee (NEC Laboratories America, Inc.), Zhichun Li (NEC Laboratories America, Inc.), Adam Bates (University of Illinois at Urbana–Champaign)

Read More