AFTER

Conference Session Tracks

11 Tracks

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9 — Industry, Innovation and Infrastructure

SDG 11 — Sustainable Cities and Communities

SDG 16 — Peace, Justice and Strong Institutions

Session Tracks

Track 01

Neural Networks for Threat Detection

This track focuses on the application of neural networks in identifying and mitigating security threats. Researchers are invited to present innovative approaches that leverage deep learning for real-time threat detection.

Track 02

Anomaly Detection Techniques in Security

This session explores advanced anomaly detection methodologies utilizing neural networks. Contributions should highlight novel algorithms and their effectiveness in various security contexts.

Track 03

Malware Detection Using Deep Learning

This track emphasizes the role of deep learning in the detection and classification of malware. Papers should discuss the development of neural network architectures that enhance malware identification accuracy.

Track 04

Intrusion Detection Systems with Neural Networks

This session invites research on the integration of neural networks into intrusion detection systems. Submissions should focus on innovative techniques that improve the detection of unauthorized access and breaches.

Track 05

Neural Networks for Authentication Mechanisms

This track examines the use of neural networks in enhancing authentication processes. Researchers are encouraged to present methods that improve security while maintaining user convenience.

Track 06

Adversarial Neural Networks in Security Applications

This session delves into the challenges and solutions presented by adversarial neural networks in security contexts. Contributions should address the vulnerabilities and defenses associated with adversarial attacks.

Track 07

Neural Networks for Data Encryption

This track focuses on the application of neural networks in developing advanced encryption techniques. Papers should explore innovative approaches to secure data transmission and storage.

Track 08

Forensic Applications of Neural Networks

This session highlights the use of neural networks in forensic investigations. Researchers are invited to discuss methodologies that enhance evidence analysis and interpretation.

Track 09

Phishing Detection with Neural Models

This track explores the application of neural networks in identifying and preventing phishing attacks. Contributions should focus on the effectiveness of various models in detecting deceptive communications.

Track 10

Behavioral Analysis Using Neural Networks

This session examines the role of neural models in behavioral analysis for security purposes. Papers should present insights into how behavioral patterns can be leveraged to enhance security measures.

Track 11

Reinforcement Learning for Security Applications

This track investigates the intersection of reinforcement learning and security. Researchers are encouraged to present novel applications that utilize reinforcement learning to improve security protocols and systems.