Smart Contract Risk Assessment How Secure is the Contract You Are Calling

被引:0
|
作者
Li, Zexin [1 ]
Wang, Chao [1 ]
Zhang, Xucan [1 ]
Yu, Xiang [2 ]
Cui, Ting [3 ]
Yu, Yifan [4 ]
机构
[1] Guangzhou Univ, Guangdong Key Lab Blockchain Secur, Guangzhou 510006, Peoples R China
[2] Taizhou Univ, Sch Elect & Informat Engn, Taizhou 318000, Peoples R China
[3] Guangdong Univ Finance & Econ, Sch Econ, Guangzhou 510320, Peoples R China
[4] Jinan Univ, Sch Art, Guangzhou 510632, Peoples R China
来源
COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2 | 2025年 / 173卷
关键词
Blockchain; smart contract security; dynamic analysis; risk assessment; vulnerability detection;
D O I
10.1007/978-3-031-77489-8_40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Smart contracts, due to their decentralized nature and immutability, have demonstrated significant potential in various sectors such as finance and supply chains. However, as their applications have expanded, their security vulnerabilities have increasingly come to light. In response to the frequent occurrences of smart contract attacks, researchers have undertaken a series of studies, including the development of automated vulnerability detection tools, dynamic monitoring techniques, and vulnerability remediation strategies. However, these detection tools often rely on static analysis and fail to capture dynamic vulnerabilities that occur during runtime. Additionally, dynamic monitoring is limited by the ability to acquire and process real-time data, and it lacks the capability to globally analyze security risks during phased attacks. Similarly, mechanisms for updating vulnerabilities might inadvertently introduce new risks by leaving backdoors in smart contracts. To address these issues, this paper proposes a new method for assessing the reputation and evaluating the risks of smart contracts, aimed at enhancing the security of the blockchain ecosystem through the analysis of smart contract invocation trajectories. The effectiveness and practicality of this method have been validated by evaluating real attack cases that have occurred on-chain. Finally, the paper summarizes the research findings and explores potential future research directions, aiming to provide new insights and solutions for the field of smart contract security.
引用
收藏
页码:526 / 534
页数:9
相关论文
共 50 条
  • [41] Intelligible Description Language Contract (IDLC) - A Novel Smart Contract Model
    Qin, Peng
    Tan, Weiming
    Guo, Jingzhi
    Shen, Bingqing
    INFORMATION SYSTEMS FRONTIERS, 2021, 26 (5) : 1597 - 1614
  • [42] Secure Electric Vehicle Charging Infrastructure in Smart Cities: A Blockchain-Based Smart Contract Approach
    Chowdhury, Abdullahi
    Shafin, Sakib Shahriar
    Masum, Saleh
    Kamruzzaman, Joarder
    Dong, Shi
    SMART CITIES, 2025, 8 (01):
  • [43] SMART WILL Converting the Legal Testament into a Smart Contract
    Sreehari, P.
    Nandakishore, M.
    Krishna, Goutham
    Jacob, Joshin
    Shibu, V. S.
    2017 INTERNATIONAL CONFERENCE ON NETWORKS & ADVANCES IN COMPUTATIONAL TECHNOLOGIES (NETACT), 2017, : 203 - 207
  • [44] Risk Assessment Edge Contract for Efficient Resource Allocation
    Sheng, Minghui
    Wang, Hui
    Ma, Maode
    Sun, Yiying
    Zhou, Run
    MATHEMATICS, 2024, 12 (07)
  • [45] Exploring Blockchain and Smart Contract Technology for Reliable and Secure Land Registration and Record Management
    Swapnil Soner
    Ratnesh Litoriya
    Prateek Pandey
    Wireless Personal Communications, 2021, 121 : 2495 - 2509
  • [46] Exploring Blockchain and Smart Contract Technology for Reliable and Secure Land Registration and Record Management
    Soner, Swapnil
    Litoriya, Ratnesh
    Pandey, Prateek
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 121 (04) : 2495 - 2509
  • [47] On the Efficacy of Smart Contract Analysis Tools
    Bonomi, Silvia
    Cappai, Stefano
    Coppa, Emilio
    2023 IEEE 34TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING WORKSHOPS, ISSREW, 2023, : 37 - 38
  • [48] SmartEdge: A Smart Contract for Edge Computing
    Wright, Kwame-Lante
    Martinez, Martin
    Chadha, Uday
    Krishnamachari, Bhaskar
    IEEE 2018 INTERNATIONAL CONGRESS ON CYBERMATICS / 2018 IEEE CONFERENCES ON INTERNET OF THINGS, GREEN COMPUTING AND COMMUNICATIONS, CYBER, PHYSICAL AND SOCIAL COMPUTING, SMART DATA, BLOCKCHAIN, COMPUTER AND INFORMATION TECHNOLOGY, 2018, : 1685 - 1690
  • [49] Taming Callbacks for Smart Contract Modularity
    Albert, Elvira
    Grossman, Shelly
    Rinetzky, Noam
    Rodriguez-Nunez, Clara
    Rubio, Albert
    Sagiv, Mooly
    PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES-PACMPL, 2020, 4 (OOPSLA):
  • [50] Smart contract languages: A comparative analysis
    Bartoletti, Massimo
    Benetollo, Lorenzo
    Bugliesi, Michele
    Crafa, Silvia
    Dal Sasso, Giacomo
    Pettinau, Roberto
    Pinna, Andrea
    Piras, Mattia
    Rossi, Sabina
    Salis, Stefano
    Spano, Alvise
    Tkachenko, Viacheslav
    Tonelli, Roberto
    Zunino, Roberto
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2025, 164