{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T18:45:02Z","timestamp":1747248302618,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031281235"},{"type":"electronic","value":"9783031281242"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-28124-2_52","type":"book-chapter","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T10:20:17Z","timestamp":1680171617000},"page":"546-557","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Block-gram: Mining Knowledgeable Features for\u00a0Smart Contract Vulnerability Detection"],"prefix":"10.1007","author":[{"given":"Tao","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haolong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaozheng","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaolong","family":"Jian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zichun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueshuo","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,31]]},"reference":[{"issue":"11","key":"52_CR1","doi-asserted-by":"publisher","first-page":"2266","DOI":"10.1109\/TSMC.2019.2895123","volume":"49","author":"S Wang","year":"2019","unstructured":"Wang, S., Ouyang, L., Yuan, Y., Ni, X., Han, X., Wang, F.-Y.: Blockchain-enabled smart contracts: architecture, applications, and future trends. IEEE Trans. Syst. Man Cybern. Syst. 49(11), 2266\u20132277 (2019)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"52_CR2","doi-asserted-by":"crossref","unstructured":"Ma, F., et al.: EVM*: from offline detection to online reinforcement for ethereum virtual machine. In: 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 554\u2013558. IEEE (2019)","DOI":"10.1109\/SANER.2019.8668038"},{"key":"52_CR3","doi-asserted-by":"crossref","unstructured":"Sai, A.R., Holmes, C., Buckley, J., Gear, A.L.: Inheritance software metrics on smart contracts. In: Proceedings of the 28th International Conference on Program Comprehension, pp. 381\u2013385 (2020)","DOI":"10.1145\/3387904.3389284"},{"key":"52_CR4","doi-asserted-by":"crossref","unstructured":"Durieux, T., Ferreira, J.F., Abreu, R., Cruz, P.: Empirical review of automated analysis tools on 47,587 ethereum smart contracts. In: Proceedings of the ACM\/IEEE 42nd International Conference on Software Engineering, pp. 530\u2013541 (2020)","DOI":"10.1145\/3377811.3380364"},{"issue":"2","key":"52_CR5","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1109\/TNSE.2020.2968505","volume":"8","author":"W Wang","year":"2020","unstructured":"Wang, W., Song, J., Xu, G., Li, Y., Wang, H., Su, C.: ContractWard: automated vulnerability detection models for ethereum smart contracts. IEEE Trans. Netw. Sci. Eng. 8(2), 1133\u20131144 (2020)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"key":"52_CR6","doi-asserted-by":"crossref","unstructured":"Hildenbrandt, E., et al.: KEVM: a complete formal semantics of the ethereum virtual machine. In: 2018 IEEE 31st Computer Security Foundations Symposium (CSF), pp. 204\u2013217. IEEE (2018)","DOI":"10.1109\/CSF.2018.00022"},{"key":"52_CR7","unstructured":"Krupp, J., Rossow, C.: teEther: gnawing at ethereum to automatically exploit smart contracts. In: 27th USENIX Security Symposium (USENIX Security 2018), pp. 1317\u20131333 (2018)"},{"key":"52_CR8","doi-asserted-by":"crossref","unstructured":"Luu, L., Chu, D.-H., Olickel, H., Saxena, P., Hobor, A.: Making smart contracts smarter. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pp. 254\u2013269 (2016)","DOI":"10.1145\/2976749.2978309"},{"key":"52_CR9","doi-asserted-by":"crossref","unstructured":"Jiang, B., Liu, Y., Chan, W.K.: ContractFuzzer: fuzzing smart contracts for vulnerability detection. In: 2018 33rd IEEE\/ACM International Conference on Automated Software Engineering (ASE), pp. 259\u2013269. IEEE (2018)","DOI":"10.1145\/3238147.3238177"},{"key":"52_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/978-3-030-01090-4_30","volume-title":"Automated Technology for Verification and Analysis","author":"E Albert","year":"2018","unstructured":"Albert, E., Gordillo, P., Livshits, B., Rubio, A., Sergey, I.: EthIR: a framework for high-level analysis of ethereum bytecode. In: Lahiri, S.K., Wang, C. (eds.) ATVA 2018. LNCS, vol. 11138, pp. 513\u2013520. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01090-4_30"},{"issue":"4","key":"52_CR11","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/MNET.2018.1700407","volume":"32","author":"K Gai","year":"2018","unstructured":"Gai, K., Qiu, M.: Reinforcement learning-based content-centric services in mobile sensing. IEEE Netw. 32(4), 34\u201339 (2018)","journal-title":"IEEE Netw."},{"key":"52_CR12","doi-asserted-by":"crossref","unstructured":"Mi, F., Wang, Z., Zhao, C., Guo, J., Ahmed, F., Khan, L.: VSCL: automating vulnerability detection in smart contracts with deep learning. In: 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp. 1\u20139. IEEE (2021)","DOI":"10.1109\/ICBC51069.2021.9461050"},{"key":"52_CR13","doi-asserted-by":"crossref","unstructured":"Zhuang, Y., Liu, Z., Qian, P., Liu, Q., Wang, X., He, Q.: Smart contract vulnerability detection using graph neural network. In: IJCAI, pp. 3283\u20133290 (2020)","DOI":"10.24963\/ijcai.2020\/454"},{"key":"52_CR14","doi-asserted-by":"crossref","unstructured":"Zeng, Q., et al.: EtherGIS: a vulnerability detection framework for ethereum smart contracts based on graph learning features. In: IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1742\u20131749. IEEE (2022)","DOI":"10.1109\/COMPSAC54236.2022.00277"},{"issue":"12","key":"52_CR15","doi-asserted-by":"publisher","first-page":"4100","DOI":"10.1109\/TPDS.2022.3177405","volume":"33","author":"T Li","year":"2022","unstructured":"Li, T., et al.: SmartVM: a smart contract virtual machine for fast on-chain DNN computations. IEEE Trans. Parallel Distrib. Syst. 33(12), 4100\u20134116 (2022)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"52_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-030-05764-0_17","volume-title":"Smart Blockchain","author":"H Qiu","year":"2018","unstructured":"Qiu, H., Qiu, M., Memmi, G., Ming, Z., Liu, M.: A dynamic scalable blockchain based communication architecture for IoT. In: Qiu, M. (ed.) SmartBlock 2018. LNCS, vol. 11373, pp. 159\u2013166. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-05764-0_17"},{"issue":"6","key":"52_CR17","doi-asserted-by":"publisher","first-page":"4156","DOI":"10.1109\/TII.2019.2948094","volume":"16","author":"K Gai","year":"2019","unstructured":"Gai, K., Wu, Y., Zhu, L., Zhang, Z., Qiu, M.: Differential privacy-based blockchain for industrial Internet-of-Things. IEEE Trans. Ind. Inf. 16(6), 4156\u20134165 (2019)","journal-title":"IEEE Trans. Ind. Inf."},{"key":"52_CR18","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.ins.2019.04.011","volume":"491","author":"Z Tian","year":"2019","unstructured":"Tian, Z., Li, M., Qiu, M., Sun, Y., Su, S.: Block-DEF: a secure digital evidence framework using blockchain. Inf. Sci. 491, 151\u2013165 (2019)","journal-title":"Inf. Sci."},{"key":"52_CR19","doi-asserted-by":"crossref","unstructured":"Contro, F., Crosara, M., Ceccato, M., Dalla Preda, M.: EtherSolve: computing an accurate control-flow graph from ethereum bytecode. In: 2021 IEEE\/ACM 29th International Conference on Program Comprehension (ICPC), pp. 127\u2013137. IEEE (2021)","DOI":"10.1109\/ICPC52881.2021.00021"}],"container-title":["Lecture Notes in Computer Science","Smart Computing and Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28124-2_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T10:48:49Z","timestamp":1680173329000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28124-2_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031281235","9783031281242"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28124-2_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SmartCom","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart Computing and Communication","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New York, NY","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"smartc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cloud-conf.net\/smartcom\/2022\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"312","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"12","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}