Cosci Press-Journal of Superintelligence and Computing

Vol.2 2026 - Issue 2

Open Access

SpikeYOLO-C2TCA: An Improved Spiking Convolutional Neural Network for Remote Sensing Image Object Detection

by Xianyi Wu, Guoyan Wang and Sergey Ablameyko

https://doi.org/10.66967/jsc.2026.v2i203

Abstract Despite their well-known energy advantages, spiking neural networks (SNNs) still fall short of conventional artificial neural networks in detection accuracy for on-orbit remote sensing, limiting their use on power-constrained satellites. To address this gap, we present SpikeYOLO-C2TCA, an improved SNN detector built upon the SpikeYOLO backbone. The core of our method is a new attention module, Sp [...] Read more.

Open Access

03 September 2026

A Case Study on Using Local LLMs for Automated Cybersecurity Analysis

by Andrei Brazhuk

https://doi.org/10.66967/jsc.2026.v2i202

Abstract The use of generative AI technologies in architectural threat modeling automation seems to be a promising alternative to ‘traditional’ formal approaches (e.g., attack-defense trees, domain-specific languages, knowledge graphs, etc.). The main advantage of Large Language Models (LLMs) is that they can work with system and threat descriptions in textual form, skipping the formalization stage requir [...] Read more.

Open Access

27 August 2026

Adaptive Defense: Enhancing NIDS with Smart Honeypots and Attack Profiling

by Rachel John Robinson

https://doi.org/10.66967/jsc.2026.v2i201

Abstract The paper examines the integration of the clever honeypots with the attacker behaviour analysis to enhance the network intrusion detection in the contemporary cyberspace environment. Due to the rapid development of cyber threats, the target of traditional intrusion detection systems (that are primarily based on fixed rules and known signatures) is to identify zero-day exploits, polymorphism, malw [...] Read more.