{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T06:44:19Z","timestamp":1777358659581,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["IITP-2026-RS-2020-II201612"],"award-info":[{"award-number":["IITP-2026-RS-2020-II201612"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004085","name":"Ministry of Education, Science and Technology","doi-asserted-by":"publisher","award":["2018R1A6A1A03024003"],"award-info":[{"award-number":["2018R1A6A1A03024003"]}],"id":[{"id":"10.13039\/501100004085","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["IITP-2026-RS-2024-00438430"],"award-info":[{"award-number":["IITP-2026-RS-2024-00438430"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,12]]},"DOI":"10.1145\/3789418.3789441","type":"proceedings-article","created":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T08:42:29Z","timestamp":1777106549000},"page":"193-201","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Bioluminescent Filament-Inspired AI for Adaptive Smart Contract Intrusion Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2840-1693","authenticated-orcid":false,"given":"Love Allen Chijioke","family":"Ahakonye","sequence":"first","affiliation":[{"name":"ICT Convergence Research Centre, Kumoh National Institute of Technology, Gumi, Gyeongsang, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6388-9249","authenticated-orcid":false,"given":"Hamza","family":"Ibrahim","sequence":"additional","affiliation":[{"name":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongsang, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6885-5185","authenticated-orcid":false,"given":"Jae-Min","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongsang, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2977-5964","authenticated-orcid":false,"given":"Dong-Seong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Gyeongsang, Republic of Korea and NSLab Co. Ltd., Kumoh National Institute of Technology, Gumi, Gyeongsang, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,25]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Love Allen\u00a0Chijioke Ahakonye Cosmas\u00a0Ifeanyi Nwakanma and Dong-Seong Kim. 2024. Tides of Blockchain in IoT Cybersecurity. Sensors 24 10 (2024) 3111. 10.3390\/s24103111","DOI":"10.3390\/s24103111"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"Love Allen\u00a0Chijioke Ahakonye Cosmas\u00a0Ifeanyi Nwakanma Jae\u00a0Min Lee and Dong\u00a0Seong Kim. 2025. Purechain-Enhanced Federated Learning for Dynamic Fault Tolerance and Attack Detection in Distributed Systems. High-Confidence Computing (2025) 100354. 10.1016\/j.hcc.2025.100354","DOI":"10.1016\/j.hcc.2025.100354"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Imad Bourian Lahcen Hassine and Khalid Chougdali. 2025. AI-Driven Security for Blockchain-Based Smart Contracts: A GAN-Assisted Deep Learning Approach to Malware Detection. Journal of Cybersecurity and Privacy 5 3 (2025). 10.3390\/jcp5030053","DOI":"10.3390\/jcp5030053"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Yizhou Chen. 2024. Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities. arxiv:https:\/\/arXiv.org\/abs\/2407.05318\u00a0[cs.CR] 10.48550\/arXiv.2407.05318","DOI":"10.48550\/arXiv.2407.05318"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Wesley de Kraker Harald Vranken and Arjen Hommersom. 2025. MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection. Computers 14 3 (2025). 10.3390\/computers14030098","DOI":"10.3390\/computers14030098"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Jose\u00a0Juan de Leon Cenchuan Zhang Christos-Spyridon Koulouris Francesca Medda and Rahul. 2025. Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning. Applied Sciences 15 11 (2025). 10.3390\/app15115924","DOI":"10.3390\/app15115924"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Li Duan Liu Yang Chunhong Liu Wei Ni and Wei Wang. 2023. A New Smart Contract Anomaly Detection Method by Fusing Opcode and Source Code Features for Blockchain Services. IEEE Transactions on Network and Service Management 20 4 (2023) 4354\u20134368. 10.1109\/TNSM.2023.3278311","DOI":"10.1109\/TNSM.2023.3278311"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/WETSEB.2019.00008"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Seon-Jin Hwang Seok-Hwan Choi Jinmyeong Shin and Yoon-Ho Choi. 2022. CodeNet: Code-Targeted Convolutional Neural Network Architecture for Smart Contract Vulnerability Detection. IEEE Access 10 (2022) 32595\u201332607. 10.1109\/ACCESS.2022.3162065","DOI":"10.1109\/ACCESS.2022.3162065"},{"key":"e_1_3_3_1_11_2","volume-title":"Proceedings of the 35th Joint Conference on Communications and Information (JCCI 2025)","author":"Ibrahim Hamza","year":"2025","unstructured":"Hamza Ibrahim, Kalibbala\u00a0Jonathan Mukisa, Love Allen\u00a0Chijioke Ahakonye, Jae\u00a0Min Lee, and Dong-Seong Kim. 2025. Impact of PureChain for Secure and Scalable Cybersecurity in Resource-Constrained IIoT. In Proceedings of the 35th Joint Conference on Communications and Information (JCCI 2025)."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Lohith JJ and Kunwar Singh. 2024. Enhancing Oyente: four new vulnerability detections for improved smart contract security analysis. International Journal of Information Technology 16 6 (2024) 3389\u20133399. 10.1007\/s41870-024-01909-8","DOI":"10.1007\/s41870-024-01909-8"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE63647.2025.10930052"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Xue Liang Yao Tan Jun Song and Fan Yang. 2025. Contract-Graph Fusion and Cross-Graph Matching for Smart-Contract Vulnerability Detection. Applied Sciences 15 19 (2025). 10.3390\/app151910844","DOI":"10.3390\/app151910844"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","unstructured":"Zhenpeng Liu Mingxiao Jiang Shengcong Zhang Jialiang Zhang and Yi Liu. 2023. A Smart Contract Vulnerability Detection Mechanism Based on Deep Learning and Expert Rules. IEEE Access 11 (2023) 77990\u201377999. 10.1109\/ACCESS.2023.3298048","DOI":"10.1109\/ACCESS.2023.3298048"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","unstructured":"Zlatan Mori\u0107 Vedran Daki\u0107 and Damir Regvart. 2025. Advancing Cybersecurity with Honeypots and Deception Strategies. Informatics 12 1 (2025). 10.3390\/informatics12010014","DOI":"10.3390\/informatics12010014"},{"key":"e_1_3_3_1_17_2","unstructured":"Bernhard Mueller. 2017. A framework for bug hunting on the ethereum blockchain. ConsenSys\/mythril (2017)."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA54385.2022.10032337"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"Ebuka\u00a0Chinaechetam Nkoro Love Allen\u00a0Chijioke Ahakonye and Dong-Seong Kim. 2025. Explainable DNN for smart contract vulnerability detection in the Metaverse. High-Confidence Computing (2025) 100374. 10.1016\/j.hcc.2025.100374","DOI":"10.1016\/j.hcc.2025.100374"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","unstructured":"Mesut Ozdag. 2025. AI-Driven Vulnerability Analysis in Smart Contracts: Trends Challenges and Future Directions. International Journal of Artificial Intelligence & Applications (IJAIA) 16 3 (May 2025) 65\u201382. 10.5121\/ijaia.2025.16305","DOI":"10.5121\/ijaia.2025.16305"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","unstructured":"Mei\u00a0F Pook and Effirul\u00a0I Ramlan. 2019. The Anglerfish Algorithm: A Derivation of Randomized Incremental Construction Technique for Solving the Traveling Salesman Problem. Evolutionary Intelligence 12 1 (2019) 11\u201320. 10.1007\/s12065-018-0169-x","DOI":"10.1007\/s12065-018-0169-x"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","unstructured":"Balachandar Raju and Gayathri\u00a0Devi K. 2025. An Elegant Intellectual Engine Towards Automation of Blockchain Smart Contract Vulnerability Detection. Scientific Reports 15 1 (2025) 26104. 10.1038\/s41598-025-08870-x","DOI":"10.1038\/s41598-025-08870-x"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Dukka Karun\u00a0Kumar Reddy Janmenjoy Nayak HS Behera Vimal Shanmuganathan Wattana Viriyasitavat and Gaurav Dhiman. 2024. A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past Present and Future. Archives of Computational Methods in Engineering 31 5 (2024).","DOI":"10.1007\/s11831-023-10059-2"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","unstructured":"Harshit Shah Dhruvil Shah Nilesh\u00a0Kumar Jadav Rajesh Gupta Sudeep Tanwar Osama Alfarraj Amr Tolba Maria\u00a0Simona Raboaca and Verdes Marina. 2023. Deep Learning-Based Malicious Smart Contract and Intrusion Detection System for IoT Environment. Mathematics 11 2 (2023). 10.3390\/math11020418","DOI":"10.3390\/math11020418"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","unstructured":"Ekaterina\u00a0S Shakhova Tatiana\u00a0A Karataeva Nadezhda\u00a0M Markina Tatiana Mitiouchkina Kseniia\u00a0A Palkina Maxim\u00a0M Perfilov Monika\u00a0G Wood Trish\u00a0T Hoang Mary\u00a0P Hall Liliia\u00a0I Fakhranurova et\u00a0al. 2024. An Improved Pathway for Autonomous Bioluminescence Imaging in Eukaryotes. Nature Methods 21 3 (2024) 406\u2013410. 10.1038\/s41592-023-02152-y","DOI":"10.1038\/s41592-023-02152-y"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","unstructured":"Md\u00a0Alamin Talukder Majdi Khalid and Md\u00a0Ashraf Uddin. 2024. An Integrated Multistage Ensemble Machine Learning Model for Fraudulent Transaction Detection. Journal of Big Data 11 1 (2024) 168. 10.1186\/s40537-024-00996-5","DOI":"10.1186\/s40537-024-00996-5"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-1148-5_3"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","unstructured":"Yishun Wang Xiaoqi Li Shipeng Ye Lei Xie and Ju Xing. 2025. Smart Contracts in the Real World: A Statistical Exploration of External Data Dependencies. arxiv:https:\/\/arXiv.org\/abs\/2406.13253\u00a0[cs.CR] 10.48550\/arXiv.2406.13253","DOI":"10.48550\/arXiv.2406.13253"},{"key":"e_1_3_3_1_29_2","first-page":"442","volume-title":"Ocean Find Your Blue","author":"Ward L.K.","year":"2016","unstructured":"L.K. Ward. 2016. Meet the Tiny Bactria that Give Anglerfishes Their Spooky Glow. In Ocean Find Your Blue. Smithsonian National Museum of Natural History, 442\u2013453."},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","unstructured":"Jiahui Yang Xiangfu Zhao Hanfeng Zhang Long He Shiji Wang and Naixiang Gou. 2025. CSAFuzzer: Fuzzing Smart Cntracts Combining with Static Analysis. Empirical Software Engineering 30 3 (2025) 62. 10.1007\/s10664-025-10623-3","DOI":"10.1007\/s10664-025-10623-3"},{"key":"e_1_3_3_1_31_2","unstructured":"Zara2099. 2023. Fuzz Tested Smart Contract Vulnerabilities. Kaggle Dataset. https:\/\/www.kaggle.com\/datasets\/zara2099\/fuzz-tested-smart-contract-vulnerabilities Accessed: [Insert access date]."},{"key":"e_1_3_3_1_32_2","first-page":"442","volume-title":"International Conference on Emerging Networking Architecture and Technologies","author":"Zhang Haodi","year":"2022","unstructured":"Haodi Zhang, Zeyuan Huang, Shuai Wang, Huamin Jin, and Xiaodong Deng. 2022. A Framework of Intrusion Detection Inspired by Artificial Immune System. In International Conference on Emerging Networking Architecture and Technologies. Springer, 442\u2013453."},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"crossref","unstructured":"Li Zhang and Vrizlynn\u00a0LL Thing. 2021. Three Decades of Deception Techniques in Active Cyber Defense-Retrospect and Outlook. Computers & Security 106 (2021) 102288.","DOI":"10.1016\/j.cose.2021.102288"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/AEECA55500.2022.9918922"}],"event":{"name":"ICACS 2025: The 9th International Conference on Algorithms, Computing and Systems","location":"Bangkok Thailand","acronym":"ICACS 2025"},"container-title":["Proceedings of the 9th International Conference on Algorithms, Computing and Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3789418.3789441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T05:54:48Z","timestamp":1777355688000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3789418.3789441"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,12]]},"references-count":33,"alternative-id":["10.1145\/3789418.3789441","10.1145\/3789418"],"URL":"https:\/\/doi.org\/10.1145\/3789418.3789441","relation":{},"subject":[],"published":{"date-parts":[[2025,12,12]]},"assertion":[{"value":"2026-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}