会议信息

AIBlock 2026: International Conference on Application Intelligence and Blockchain Security

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截稿日期:
2026-05-01
通知日期:
2026-06-03
会议日期:
2026-07-24
会议地点:
Lancaster, UK
届数:
8
浏览: 6912   关注: 1   参加: 0

会伴指数 (CP-I)

46.5 / 100
全站第 2,431 名 / 共 5,682 个会议 · 前 43%

安全与隐私 第 153 / 360

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
19
资料公开度 (15%)
35

用到的输入: 有据可查的届次：8 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-19

征稿

AIBlock 2026 (International Conference on Application Intelligence and Blockchain Security) is an academic conference held in Lancaster, UK on 2026-07-24. The paper submission deadline is 2026-05-01. Acceptance notifications are sent on 2026-06-03.

As applications are one of the most critical assets, application security aims to take proper actions to improve the security of an application by identifying and fixing application vulnerabilities. Application intelligence plays an important role in designing an appropriate security mechanism; thus application intelligence security gains increasing attention. With the adoption of blockchain technology, how to benefit security by combining blockchains with application intelligence become an emerging research topic. This conference attempts to provide a platform for professionals from academia and industry to discuss challenges and potential solutions in this direction. We seek submissions describing either theoretical or practical solutions in relation to application intelligence security and blockchain security. Conference features: - A best paper award will be granted to the qualified papers. - Good quality papers will be invited to SCI-indexed journal special issues. ------------------------------------- Call for Papers: Topics of interest include, but are not limited to the ones listed below. - Authentication - Application Trustworthy - AI Security - Blockchain-based Applications - Cryptocurrency Analysis - Data and System Integrity - Data Protection - Data Privacy - Database Security - Decentralized Application Development - Formal Method - Machine Learning Security - Software Security - Intrusion Detection - Smart Contracts - Trust and Privacy of Applications - Vulnerability Analysis - Hardware and physical security
由 Dou Sun 最后更新于

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CCF全称影响因子出版商ISSN
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