collaborators

8 papers

cs.CR2025

Security Risks Introduced by Weak Authentication in Smart Home IoT Systems

Daniyal Ganiuly, Nurzhau Bolatbek, Assel Smaiyl

Smart home IoT systems rely on authentication mechanisms to ensure that only authorized entities can control devices and access sensitive functionality. In practice, these mechanis…

cs.SE2025

Failure Analysis of Safety Controllers in Autonomous Vehicles Under Object-Based LiDAR Attacks

Daniyal Ganiuly, Nurzhau Bolatbek, Assel Smaiyl

Autonomous vehicles rely on LiDAR based perception to support safety critical control functions such as adaptive cruise control and automatic emergency braking. While previous rese…

cs.NI2025

A Secure Edge Gateway Architecture for Wi-Fi-Enabled IoT

Daniyal Ganiuly, Nurzhau Bolatbek, Assel Smaiyl

This paper presents a Secure Edge Gateway Architecture for Wi-Fi-Enabled IoT designed to strengthen local network protection without altering existing infrastructure. The proposed…

cs.CR2025

Stability-Drift Early Warning for Cyber-Physical Systems Under Degradation Attacks

Daniyal Ganiuly, Nurzhau Bolatbek, Assel Smaiyl

Cyber-physical systems (CPS) such as unmanned aerial vehicles are vulnerable to slow degradation that develops without causing immediate or obvious failures. Small sensor biases or…

cs.CR2025

Managed TLS Under Migration: Authentication Authority Across CDN and Hosting Transitions

Daniyal Ganiuly, Nurzhau Bolatbek, Assel Smaiyl

Managed TLS has become a common approach for deploying HTTPS, with platforms generating and storing private keys and automating certificate issuance on behalf of domain operators.…

cs.CR2025

Cross-Layer Detection of Wireless Misbehavior Using 5G RAN Telemetry and Operational Metadata

Daniyal Ganiuly, Nurzhau Bolatbek, Assel Smaiyl

5G Standalone deployments can exhibit uplink misbehavior from user equipment that remains fully compliant with standard control plane procedures. Manipulations such as transmit pow…

cs.CR2025

Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models

Daniyal Ganiuly, Assel Smaiyl

Large Language Models (LLMs) are increasingly used in intelligent systems that perform reasoning, summarization, and code generation. Their ability to follow natural-language instr…

cs.CR2025

Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models

Daniyal Ganiuly, Assel Smaiyl

Phishing emails continue to pose a persistent challenge to online communication, exploiting human trust and evading automated filters through realistic language and adaptive tactic…