Important IEEE Policy Announcement: The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Explore) if the paper is not presented at the conference.

Papers should be written in English with a maximum paper length of six (6) printed pages (two-column format, 10-point font) using the supplied paper template including figures without incurring any page charges. One additional page is permitted with an over-length page charge of USD 100. Papers exceeding 7 pages will not be accepted.

IEEE Conference Paper Template (Template overleaf)

Only PDF files will be accepted for the review process and all submissions must be done electronically through EDAS using the following link: https://edas.info/N29336

Official conference language is English. All submissions and presentations will be in English. Authors who are interested to present their papers in ICISCTI’22 but could not attend the conference, they can present their works by a Virtual Presentation.

Official conference language is English. All submissions and presentations will be in English. Authors who are interested to present their papers in ICISCTI’22 but could not attend the conference, they can present their works by a Virtual Presentation.

The overall Best Paper and Best Student Paper Awards will be given and recognized during the conference.

Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and the IEEE  will take action against any author who engages in either practice. Follow these links to learn more:

IEEE Policy on Plagiarism
IEEE Policy on Double Submission

All accepted papers and presented during the conference will be published in the conference proceedings and submitted for inclusion in IEEE Xplore Digital Library

The conference covers all research and novel papers tackling the following topics, but not limited to:

• Big data analytics for Cyber threat intelligence and detection

• Artificial Intelligence Analytics Techniques

• Real-time situational awareness

• Machine Learning techniques for CTI

• Deep Learning techniques for CTI

• Malware detection and prevention techniques

• Intrusion and cybersecurity threat detection and analysis

• Cyber-physical-social system security and incident management

• Mobile and cloud computing security

• IoT cybersecurity and privacy

• Big data analytics for cybersecurity

• Big data analytics for digital forensics 

• Dark Web Analytics for Proactive CTI applications  

• Real-time AI for cyber threat detection  

• Machine learning for CTI

• Data intelligence and DataOps  

• AI for preventing security and data breaches  

• AI for Risk management and threat management