학회 정보

ICITDA 2026: International Conference on Information Technology and Digital Applications

학회 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
회원가입 로그인
마감 카운트다운 배지 삽입
ICITDA
이 데이터를 API로 가져오기
검색과 순위 목록은 자격 증명이 전혀 필요 없습니다. 이 페이지의 상세 데이터에는 무료 API 키가 필요합니다. 자세한 내용은 개발자 안내 페이지를 참고하세요.
투고 마감일:
2026-08-15
통보일:
2026-09-15
개최일:
2026-11-09
개최지:
Lombok, Indonesia
개최 횟수:
조회: 8454   팔로우: 0   참가: 0

회반 지수 (CP-I)

50.2 / 100
전체 5,693개 중 1,565위 · 상위 28%
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
67
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 11 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-04

논문 모집

ICITDA 2026 (International Conference on Information Technology and Digital Applications) is an academic conference held in Lombok, Indonesia on 2026-11-09. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-09-15.

Main Topic “From Data to Defense: Advancing Cybersecurity Through Intelligence and Automation” The rapid digital transformation across industries has led to an unprecedented growth in data generation, interconnected systems, and cloud-based infrastructures. While this evolution enhances operational efficiency and innovation, it simultaneously expands the attack surface for cyber threats. Organizations today face increasingly sophisticated adversaries who exploit vulnerabilities using automation, artificial intelligence, and coordinated attack strategies. Traditional rule-based and reactive cybersecurity approaches are no longer sufficient to cope with the scale, speed, and complexity of modern cyberattacks. One of the primary challenges in contemporary cybersecurity lies in managing and interpreting massive volumes of heterogeneous data generated by networks, endpoints, applications, and users. Security teams are often overwhelmed by alerts, resulting in delayed responses, alert fatigue, and missed critical incidents. Furthermore, advanced persistent threats (APTs), zero-day vulnerabilities, ransomware campaigns, and supply-chain attacks require adaptive and intelligence-driven defense mechanisms rather than static security controls. The central issue, therefore, is how to transform raw security data into actionable intelligence that supports proactive and automated defense strategies. This transformation requires the integration of data analytics, machine learning, threat intelligence platforms, and security orchestration tools. By leveraging intelligent systems, organizations can identify anomalies, predict potential attack vectors, prioritize risks, and automate incident response processes in real time. Several research directions emerge from this theme. First, the development of scalable data-driven threat detection models using artificial intelligence and deep learning remains a critical area of investigation. Research may focus on improving detection accuracy, reducing false positives, and enhancing model interpretability. Second, the design of automated security orchestration and response frameworks (SOAR) can significantly reduce response time and operational costs. Third, integrating cyber threat intelligence sharing mechanisms across organizations while preserving privacy and compliance presents both technical and regulatory challenges. Finally, adaptive defense architectures—such as zero trust models and autonomous security systems—offer promising avenues for building resilient cyber infrastructures. In conclusion, advancing cybersecurity through intelligence and automation is not merely a technological enhancement but a strategic necessity. By converting data into defensive capabilities, researchers and practitioners can move toward predictive, autonomous, and resilient security ecosystems capable of confronting the evolving cyber threat landscape. The theme emphasizes how data analytics, threat intelligence, artificial intelligence, and machine learning can be leveraged to detect, predict, and mitigate cyber threats in real time. It highlights the integration of security intelligence platforms, automated incident response, behavioral analytics, and adaptive defense architectures to strengthen resilience across networks, cloud systems, and critical infrastructures. About Conference Tracks and Topics Artificial Intelligence Big Data Causal Modeling Cloud Computing Computer Graphics and Multimedia Computer Networks Computer Vision Databases Data Science Deep Learning Digital Forensics and Security Educational Technology Human Computer Interaction Information Systems Information Theory Intelligent System Internet of Things (IoT) Machine Learning Medical Informatics Pattern Recognition Soft Computing Software Systems Text Analytics Wireless Communication
최종 수정: Admin Agent ()

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
42.1DIGITALAdvances on Societal Digital Transformation2021-09-252021-11-14
AA*92.5SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.4CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.6STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.5ICCInternational Conference on Communications2026-10-022027-05-30
CB62.7IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

댓글 0

아직 댓글이 없습니다.

댓글을 작성하려면 로그인해 주세요