Workshop title: “A workshop on Trends, Challenges, and Solutions in AI based Cloud Forensics”
Mode of workshop: Online

Abstract:
The workshop on Trends, Challenges, and Solutions in AI based Cloud Forensics will offer a unique opportunity for scholars and practitioners to address emerging cloud forensics related challenges using AI. These challenges are becoming more urgent and significant as countries worldwide are becoming more dependent on AI and digital networks. Cloud forensics is an essential component in safeguarding digital information stored and processed in cloud computing environments, ensuring its security, integrity, and legal compliance. It guarantees that organizations can efficiently address security breaches, adhere to legal obligations, and protect their digital resources within the ever-evolving realm of cloud computing. The incorporation of artificial intelligence (AI) into cloud forensics has the potential to augment the efficiency, precision, and effectiveness of investigations in cloud computing environments. The workshop invites articles that target trends, challenges, and solutions of cloud forensics using AI.

Name, affiliation, and e-mail address for each organizer:

1. Jay Dave,
   Assistant Professor, Birla Institute of Technology and Science, Pilani – Hyderabad Campus,
   India
   Email: [email protected]
2. Nikumani Choudhury
   Assistant Professor, Birla Institute of Technology and Science, Pilani – Hyderabad Campus,
   India
   Email: [email protected]
3. Moustafa M. Nasralla
   Associate Professor, Prince Sultan University, Saudi Arabia
   Email: [email protected]
4. Vineeta Jain
   Research Associate, Fraunhofer Institute of Integrated Circuits IIS, Germany
   Email: [email protected]

Identification of the primary contact person(s):
Jay Dave, [email protected], +91-04066303664

Topics:
High-quality, previously unpublished submissions are solicited in the areas of AI-based cloud security
and cloud forensics. Topics of interest comprise but are not limited to:
⮚ Automated Forensic Analysis in Cloud Environments
⮚ Machine Learning for Anomaly Detection and Evidence Collection in Cloud Forensics
⮚ AI based Incident handling, Auditing and Logging in Cloud Forensics
⮚ Deep Learning/Machine Learning for Cloud Forensics
⮚ Blockchain and Cloud Forensics
⮚ Cross-Cloud Forensic Analysis
⮚ Mobile Cloud Security and Forensics
⮚ Big Data Forensics
⮚ Security and Privacy for Cloud Computing
⮚ Evaluation of Forensics-as-a-Service and Crime-as-a-Service provisioning
⮚AI based Criminal profiling and reconstruction in the cloud
⮚Automated Attack modelling and countermeasures

Background and Motivation:

Cloud forensics, i.e., an area of digital forensics, is dedicated to investigating and evaluating digital evidence within the context of cloud computing environments. The process entails the utilization of forensic methodologies to collect, examine, and preserve electronic evidence from infrastructure, platforms, and cloud services. In other words, cloud forensics addresses the challenges associated with investigating digital incidents, collecting evidence, and ensuring legal compliance in cloud computing environments. The expanding utilization of cloud computing services by organizations, enterprises, and individuals has elevated the significance of cloud forensics. In light of the increasing migration of data and critical operations to cloud environments, it is critical to comprehend and effectively tackle the distinct challenges associated with incident investigation and digital evidence management. Artificial Intelligence (AI) holds significant importance in today’s world across various sectors, influencing the way we live, work, and interact. AI is a transformative force that is reshaping industries, enhancing productivity, and contributing to innovations across diverse domains. AI plays a pivotal role in revolutionizing cloud forensics, offering advanced capabilities to address the dynamic and complex challenges associated with digital investigations in cloud computing environments. AI algorithms can analyze massive datasets, detect anomalies in user behavior, and provide predictive insights, aiding investigators in identifying security incidents and potential threats. The dynamic nature of cloud environments benefits from AI’s ability to adapt to evolving threats, ensuring that forensic analysis remains effective in the face of emerging challenges. Research on AI for cloud forensics is a burgeoning field that seeks to address the evolving complexities of digital investigations in cloud computing environments.

Format:

Paper Submission:
Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

Selection criteria:
The selection criteria for papers in this workshop includes:
● Papers should align with the overall theme and focus areas of the conference.
● Papers that introduce new ideas, methodologies, or technologies are often favored.
● Papers should provide clear details on research methods, data collection, and analysis.
● The practical relevance and applicability of the research to real-world problems are often considered.
● Papers should demonstrate ethical research conduct and ensure the appropriate use of data and
methodologies.
● Plagiarism policy for the workshop papers correspond to the plagiarism policy of the main conference.

Timeline (Tentative):
Introduction (by Workshop Organizers) 15 Mins
Invited Speaker 60 mins
Break 15 Mins
Paper Presentation-1 15 Mins
Paper Presentation-2 15 Mins
Paper Presentation-3 15 Mins
Paper Presentation-4 15 Mins
Paper Presentation-5 15 Mins
Paper Presentation-6 15 Mins
End of Workshop (Vote of Thanks) 15 Mins
Total Time 3 hours 15 Mins

Important Dates (Tentative):

• Full Paper Submission deadline: 1 July 2024
• Notification deadline: 1 August 2024
• Camera-ready deadline: 1 September 2024
• Start of workshop: 1 October 2024
• End of workshop: 1 October 2024

Workshop Publication:
Accepted and presented papers will be published alongside the main conference proceedings
as a sub section/chapter. Paper formats should, therefore, correspond to the templates of the publisher
of the main conference.

Organizers:

1. Jay Dave is working as an Assistant Professor at BITS Pilani, Hyderabad Campus, India. He
   received his Ph.D. degree from the Department of Computer Science & Engineering, MNIT
   Jaipur, India, in the year 2021. He has pursued his M.TECH from Dhirubhai Ambani Institute
   of Information and Communication Technology, India. His areas of research interests are
   Information Security, Cloud Computing, and Applied cryptography. Dr. Jay has published
   papers in various reputed journals and conferences. He has actively contributed as a committee
   member in various conferences, Global Initiative of Academic Networks (GIAN) courses, and
   various faculty development programs. Dr. Jay is supervising PhD student under BITS-RMIT
   (India-Australia) research program. He is a part of the editorial board of the Journal of Artificial
   Intelligence and Robotics.
2. Nikumani Choudhury is currently working as an Assistant Professor at BITS Pilani,
   Hyderabad Campus, India. He received his Ph.D. degree from Computer Science &
   Engineering department, IIIT Guwahati, India, in the year 2020. His research interests include
   low-power wireless sensor networks, security in the Internet of Things, and Intelligent
   Transportation Systems. He has more than 8 years of experience in low-power wireless
   networks, specifically in the MAC sub-layer for designing low-power communication among
   constrained wireless devices in IEEE 802.15.4 (standard) and LoRa-based IoT networks. He is
   an IEEE Senior Member and also an editorial board member of the IEEE Smart Cities
   Publications and is serving as an Associate Editor in Frontiers Networks and Communications
   journal. He received the best paper award at the IEEE WoWMoM’22 conference, held in the
   UK. He had received two Student Travel Grants from IEEE Compsoc. He has several
   publications (30+) in top journals and conferences and has over 850 citations in google scholar.
   He has multiple projects on wireless networks from Govt of India and a couple more as a PI
   with RMIT, Australia and La Trobe, Australia.
3. Moustafa M. Nasralla received B.Sc. degree (Hons.) in electrical engineering from Hashemite
   University, Jordan, in 2010, M.Sc. degree in networking and data communications from
   Kingston University, London, U.K., in 2011, and Ph.D. degree from the Faculty of Science,
   Engineering and Computing (SEC), Kingston University. He is currently an Associate
   Professor at the Department of Communications and Networks Engineering, Prince Sultan
   University (PSU), Riyadh, Saudi Arabia. He is currently the leader of the Smart Systems
   Engineering Laboratory (SSEL), PSU. His research interests include the latest generation of
   network security, wireless communication systems, wireless sensor networks, navigation and
   localization, IoT, machine learning, Artificial Intelligence, radio resource allocation,
   telemedicine and video compression, and multimedia communications.
4. Vineeta Jain received her PhD degree (Computer Science and Engineering) from the Malaviya
   National Institute of Technology Jaipur, India in 2020. She is currently working as a Research
   Associate in Industrial Wireless Communication Group at Fraunhofer Institute of Integrated
   Circuits IIS, Division Engineering of Adaptive Systems EAS in Germany. Her research
   interests include Network Security, Wireless Communication, Data Analysis Algorithms,
   Digital forensics and Applied Cryptography. She has participated in many European research
   projects and wrote research papers published in reputed international journals and conferences.