Umesh Kumar

We are living in an era where the concept of the futuristic, automated home has successfully transitioned from science fiction into everyday reality.

The Art of the Prompt: A massive, paradigm-shifting transformation is sweeping through the global creative ecosystem.

Healthcare fog computing enables low-latency processing of sensitive medical data by distributing computation closer to data sources such as medical IoT devices and edge systems. Despite these advantages, the decentralized and heterogeneous nature of fog environments introduces substantial challenges related to security, privacy, and performance, particularly under sophisticated cyber threats, data tampering risks, and emerging quantum computing attacks. To address these challenges, this paper proposes Q-ZeroFog, a post-quantum security framework designed to enhance privacy, resilience, and performance in healthcare fog computing environments. Q-ZeroFog integrates a quantum-resistant blockchain layer, an AI-driven software-defined networking (SDN) control plane, and an adaptive zero-trust security model to ensure secure and efficient operation of healthcare fog networks and e-health applications. The framework employs post-quantum cryptographic schemes to protect sensitive healthcare data against quantum-enabled attacks, reinforcement learning–based SDN control for dynamic traffic optimization, and digital twin technology for proactive fault detection and autonomous recovery of fog nodes. In addition, homomorphic encryption is applied to lightweight healthcare data analytics (e.g., aggregation and threshold-based computations), enabling privacy-preserving processing without exposing raw patient data. Extensive simulations conducted in a controlled, permissioned healthcare fog environment demonstrate that Q-ZeroFog consistently outperforms existing security models across multiple performance metrics. The framework achieves intrusion detection rates of 99.15%, 98.45%, and 98.00% under low, medium, and high network loads, respectively, surpassing benchmark models such as ZT-1 and FogGuard. Data integrity reaches up to 99.20%, while task completion rates exceed 97.85% across all load conditions. Furthermore, Q-ZeroFog delivers reduced latency (130–210 ms), lower energy consumption (95.5 Wh for fog nodes and 21.75 Wh for IoT devices), improved scalability, and minimal privacy leakage (as low as 1.25% under high load). These results validate Q-ZeroFog as a scalable, privacy-preserving, and high-performance post-quantum security framework capable of meeting the stringent requirements of latency-sensitive healthcare fog computing applications.

James Cameron's 1997 film Titanic has to be one of the greatest films of all time. Starring Leonardo DiCaprio and Kate Winslet in lead, Titanic was the first film to cross the $2 billion mark.

Tucked neatly between the towering, mist-laden peaks of the Western Ghats and the vast, azure expanse of the Arabian Sea, the southwestern state of

Electromagnetic interference (EMI) has become a critical issue in modern electronic devices, necessitating effective shielding materials for mitigating its adverse effects.

For over four decades, the Evil Dead franchise has stood as an unholy monument in the horror pantheon.

The global conversation surrounding Artificial Intelligence has achieved a state of near-religious fervor.

Due to the ongoing movement of dak kanwars until August 11, the Meerut-UP Gate stretch of the Delhi-Meerut Expressway is facing temporary closures.

Dhiraj Kumar Singh [1] Rashmi Gupta [2] Umesh Kumar [3] Saurabh Gupta [4]