AI in Cybersecurity
Session Overview:
The upcoming AI & Its Applications: Transforming Industries and Society-2024 promises to be a pivotal event, uniting leading Research Experts worldwide. Attendees can look forward to unparalleled networking opportunities, gaining invaluable insights, and showcasing their research contributions. With a central theme focused on sustainability, the conference aims to lay the groundwork for a healthier and more prosperous future for generations to come.
Don't miss out on this opportunity to collaborate with esteemed experts and contribute to shaping the trajectory of scholarly excellence. Submit your full papers and abstracts across a wide range of sessions to be part of this transformative experience.
AI in Cybersecurity is
contribution to
The
Sustainable
Development Goals:
Goal 9:Industry, Innovation, and Infrastructure
Goal 8: Decent Work and Economic Growth
Goal 16: Peace, Justice and Strong Institutions
Goal 17: Partnerships for the Goals
Who Can Join
Research Scholars
Technology Experts
Students & Alumini’s
Editorial Board Members of Journals
Government Officials
Industry Professionals
Tracks
Topics of Interest for Submission include, but are not limited to:
1 Threat Detection and Prevention
2 Anomaly Detection
3 Identity and Access Management
4 Secure AI Development Practices
5 Behavioral Analytics in Cybersecurity
6 Incident Response and AI Automation
7 Adversarial Machine Learning
8 Network Security with AI
9 AI-powered Threat Hunting
10 Zero Trust Security Model with AI
11 AI-driven Deception Technologies
12 Quantum Computing and Cybersecurity
13 AI in Cloud Security
14 Threat Intelligence Integration with AI
15 Privacy-preserving AI in Cybersecurity
Session Speaker
Dr. Arvin R. De La Cruz
Program Chair of the MS Computer Engineering Program
Polytechnic University, Philipines
Key Themes
- In the realm of AI in Cybersecurity, innovation and adaptation are paramount in the ongoing battle against evolving threats. Threat Detection and Prevention leverage AI algorithms to analyse vast datasets and identify potential threats in real-time, bolstering defenses and pre-empting cyberattacks. Anomaly Detection employs machine learning techniques to discern unusual patterns and behaviours within networks, flagging suspicious activities for further investigation and mitigation.
- Identity and Access Management are fortified through AI-driven authentication and authorisation systems, enhancing security measures while minimising user friction. Secure AI Development Practices prioritise security throughout the AI lifecycle, from data collection and model training to deployment and maintenance, ensuring robust defenses against potential vulnerabilities. Behavioural Analytics in Cybersecurity harness the power of AI to monitor user behaviour and detect deviations from normal patterns, enabling proactive threat mitigation and risk management.
- Incident Response and AI Automation streamline response efforts, automating routine tasks and accelerating incident triage and remediation. Adversarial Machine Learning explores the adversarial landscape, developing resilient AI models capable of defending against sophisticated attacks and evasions. Network Security with AI fortifies perimeter defenses and intrusion detection systems, safeguarding against external threats and internal breaches.
- AI-powered Threat Hunting empowers cybersecurity professionals to proactively search for hidden threats and vulnerabilities, staying one step ahead of adversaries. Zero Trust Security Model with AI adopts a holistic approach to security, continuously verifying user identities and scrutinising network traffic to prevent unauthorised access and lateral movement.
- AI-driven Deception Technologies deploy decoys and traps to mislead attackers and gather intelligence on their tactics and motives. Quantum Computing and Cybersecurity navigate the emerging frontier of quantum-resistant encryption and quantum-safe protocols to safeguard sensitive data against future threats.
- AI in Cloud Security enhances cloud-native security measures, providing visibility, control, and compliance across hybrid and multi-cloud environments. Threat Intelligence Integration with AI enriches security operations with actionable insights and context from external sources, empowering organisations to make informed decisions and prioritise response efforts.
Scope & Benefits of Attending AI & Its Applications: Transforming Industries and Society-2024 conference:
Prepare yourself for an extraordinary experience at the AI & Its Applications: Transforming Industries and Society-2024 conference, where attendees will have the opportunity to explore a diverse range of topics spanning various disciplines.
Benefits of Attending AI & It's Applications
2024
- Attending the AI & Its Applications: Transforming Industries and Society-2024 conference presents a myriad of opportunities for professionals across various sectors. With subtopics spanning AI's impact on business transformation, agriculture, media, healthcare, education, engineering and manufacturing, social impact, cybersecurity, and emerging technologies, the conference offers a comprehensive exploration of AI's multifaceted applications.
- For businesses, the conference provides invaluable insights into leveraging AI for transformational growth. Attendees will discover innovative strategies and case studies showcasing how AI is reshaping industries, optimising operations, and driving competitive advantage.
- In the agriculture sector, participants can delve into the latest advancements in AI-driven precision farming, crop monitoring, and smart irrigation systems. By understanding how AI is revolutionising agricultural practices, attendees can harness these technologies to enhance productivity, sustainability, and food security.
- Media professionals will benefit from insights into AI's role in content creation, recommendation systems, and audience engagement. From personalised experiences to content optimisation, AI is redefining how media organisations deliver and monetise content in the digital age.
- Healthcare practitioners and researchers will find a wealth of knowledge on AI's applications in disease diagnosis, personalised medicine, and patient care. By exploring AI-driven healthcare innovations, attendees can discover new ways to improve patient outcomes, streamline workflows, and enhance overall healthcare delivery.
- Educators and policymakers will gain insights into AI's potential to revolutionise learning experiences, adaptive learning platforms, and educational content creation. By integrating AI into educational systems, attendees can explore opportunities to personalise learning, improve student outcomes, and address challenges in education access and equity.
- In engineering and manufacturing, AI is driving advancements in automation, predictive maintenance, and quality control. Attendees will learn how AI-powered technologies are optimizing processes, reducing downtime, and enabling agile, data-driven decision-making in industrial settings.
- AI for social impact and society explores how AI can address pressing global challenges, from poverty and inequality to climate change and humanitarian aid. By showcasing AI-driven initiatives and projects, attendees can gain inspiration and insights into leveraging technology for positive social change.
- Cybersecurity professionals will find a wealth of knowledge on AI's role in threat detection, vulnerability assessment, and incident response. By understanding AI's capabilities and limitations in cybersecurity, attendees can enhance their organisations' defense strategies and mitigate evolving cyber threats.
- Lastly, exploring AI's emerging technologies offers a glimpse into the future of AI innovation. From quantum computing to neuromorphic engineering, attendees can stay ahead of the curve by understanding the latest trends and developments shaping the AI landscape.
- Overall, AI-2024 promises to be an enriching experience, providing attendees with unparalleled opportunities for learning, collaboration, and innovation across a diverse spectrum of topics.
Author Guidelines
Guidelines for Abstract Submission:
- Language: Abstracts must be written in English.
- Length: Limited to one paragraph with 200-250 words.
- Format: Submit in MS Word (.doc or .docx) document format.
- Content: Abstracts should provide an informative summary of the original work. Include a brief biography with your abstract, following the example provided in the template.
- Formatting: Center-align the Title, Author's Names, and Affiliations. Underline the presenting author's name.
- Submission: Please submit your abstract through the designated submission portal.
- Acknowledgment: Upon abstract submission, you will receive an acknowledgment email within three working days.
Evaluation Process
Guidelines for Full Paper Submission
If your abstract has been accepted and the registration fee for AI & It's Applications -2024 has been paid, you are invited to submit the full paper. Please adhere to the following guidelines for the submission:
- Total number of pages: 6-8 in double-column format
- Language: English (checked for grammar and language errors)
- Tables, figures, and images should be properly named and of high quality.
- Keywords should be written in lowercase letters (except for names/scientific names) and separated by commas.
- Affiliation names, including the country, must be provided.
- Each paper should be structured into the following sections:
- Background, Motivation, and Objective
- Statement of Contribution/Methods
- Results, Discussions, and Conclusions
Once your full paper is prepared according to the above instructions, please proceed to submit it through the provided link. Submit your Full paper Here.
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