Sharing about Asia Joint Conference on Information Security (AsiaJCIS 2025)

DESCRIPTION

The Asia Joint Conference on Information Security (AsiaJCIS) is an international academic exchange events in the field of information security. AsiaJCIS 2025 was held in Seoul, Republic of Korea on 12-13 August 2025. In this sharing session, I will present some insights gained from the conference and discuss some interesting topics presented in AsiaJCIS 2025. In particular, I will discuss about a generic zero knowledge range argument with preprocessing constructed using a VOLE-based ZKP for arithmetic circuit.

An Efficient Approach for Echo Signal Reconstruction and Clutter Classification

ABSTRACT

Bat echolocation in complex environments provides crucial insights into biological sonar mechanisms. While the wire maze paradigm is widely used for laboratory studies, quantitative tools for assessing its acoustic similarity to natural vegetation remain lacking. We present an integrated framework combining physical modeling with deep learning to evaluate acoustic correspondence between laboratory wire mazes and natural environments. By computing high-frequency time-domain acoustic signals through frequency-domain solutions based on multiple scattering model, we achieve three orders of magnitude improvement in computational efficiency over traditional numerical methods, enabling rapid sound field assessment and large-scale dataset generation. We apply convolutional neural networks to identify five typical scatterer distribution patterns (jittered square lattice, Poisson disk, jittered hexagonal lattice, inhomogeneous random distribution, and clustered distribution) from echo spectrograms. Results show classification accuracy exceeding 97% with 28 scatterers, with accuracy increasing monotonically with scatterer density while maintaining robust noise tolerance. These findings validate that wire maze systems generate acoustically distinguishable signatures positively correlated with scatterer density. This work provides biosonar researchers with quantitative assessment tools for optimizing laboratory wire maze designs, ensuring acoustic matching with target natural environments and enhancing ecological validity of research outcomes.

Avian-Inspired Morphing for UAV Flight Control

ABSTRACT

By studying how birds morph their body to achieve flight control and stability, the possibility of allowing modern aircrafts to achieve the same aerodynamic efficiency and agility by using unconventional control systems can be further investigated. Birds generally control their pitch, yaw and roll by morphing both their wings and tails together, allowing them to transition between stable and unstable flight quickly. The tail plays a critical role in agile flights of birds; hence my study aims to demonstrate the feasibility of using the horizontal tail to rotate on 2 axes to control both pitch and yaw. Throw tests of prototype models without vertical tails have shown that adverse yaw plays a significant role in determining the flight path of the plane.