Journal of Future Internet and Hyperconnectivity

A Comprehensive Review of Cyber Kill Chain Models: Evolution, Applications, and Future Directions

Manas Kumar Yogi — 2024-09-26

The cyber kill chain has emerged as a fundamental framework for understanding and defending against sophisticated cyber-attacks. Originating from military strategy, the cyber kill chain offers a structured approach to breaking down the stages of an attack, from the initial survey to achieving the attacker's objective. This review explores the evolution of various cyber kill chain models, beginning with the Lockheed Martin Cyber kill chain, which introduced a linear attack sequence, to more advanced frameworks like MITRE ATT&CK and the Unified Kill Chain, which address the complexity of modern threats such as Advanced Persistent Threats (APTs) and ransomware. Each model brings unique strengths in adaptability, threat intelligence, and incident response but also faces limitations in keeping pace with the rapidly changing cybersecurity landscape. This paper compares the efficacy of each model, discussing their practical applications in defensive cybersecurity, offensive security (red teaming), and industry-specific use cases, such as critical infrastructure and healthcare. Finally, the paper examines future research directions, focusing on integrating artificial intelligence, the need for real-time threat detection, and ethical considerations in leveraging these models for proactive cybersecurity strategies.

Designing Future Internet Architectures: Ad-Hoc Networks, Mobile Computing, and Hyperconnectivity

Anuj Kumar — 2024-12-16

The rapid advancement of technology and the proliferation of devices have created a significant demand for more efficient, scalable, and flexible Internet architectures. This paper explores integrating three significant technologies ad-hoc networks, mobile computing, and hyperconnectivity into future internet infrastructures. Ad-hoc networks provide decentralized, self-organizing communication that enhances flexibility, while mobile computing ensures connectivity anywhere, contributing to the first mobile revolution. Hyperconnectivity, which involves connecting numerous devices and systems, drives the need for scalable, low-latency architecture. The study examines how these technologies can complement each other to create adaptive, resilient, and efficient network architectures. Through literature reviews, case studies, and simulation models, this research proposes a comprehensive framework for the next generation of internet systems capable of supporting billions of devices with seamless connectivity and robust communication. Key challenges, including energy efficiency, security, and scalability, are discussed with potential solutions.

Feedlytics: A Feedback-Driven Insight System

Keshant Kumar Uikey — 2024-12-18

In today's competitive and innovation-driven environment, user feedback is a cornerstone for improving products and services. Feedlytics is a web application designed to revolutionize feedback analysis by providing businesses with the tools to understand user sentiments, identify trends, and make data-driven decisions.

Feedlytics bridges the gap between feedback collection and actionable insights by combining an intuitive React-based frontend with a Python-powered backend. The platform incorporates advanced techniques such as natural language processing (NLP) using a Large Language Model (LLM) to categorize sentiments and detect trends in real-time. Its robust architecture ensures scalability and performance, making it suitable for businesses of all sizes.

Through a streamlined feedback submission process and visually engaging dashboards, Feedlytics enhances user engagement and enables organizations to respond promptly to customer needs. This project report discusses the design, development, and evaluation of Feedlytics, illustrating its potential to transform feedback into a powerful decision-making tool.

Artificial Intelligence (AI) in Future Internet Architectures

Shilpi Gupta — 2024-12-18

The rapid evolution of the Future Internet demands more intelligent, efficient, and adaptive network architectures to support emerging applications like the Internet of Things (IoT), smart cities, autonomous systems, and 5G/6G technologies. Artificial Intelligence (AI) is at the forefront of this transformation, providing advanced tools to automate network management, optimize resource allocation, enhance security, and improve user experience. AI technologies, including machine learning (ML), deep learning (DL), and reinforcement learning (RL), are enabling networks to autonomously adapt to changing conditions, perform self-healing, and optimize performance in real-time. In addition, AI-based systems can significantly improve traffic prediction, anomaly detection, and security measures by continuously analyzing vast amounts of data from connected devices and applications. As AI becomes integral to network optimization, it can ensure Quality of Service (QoS), bandwidth allocation, and energy management in increasingly complex environments. However, integrating AI in Future Internet architectures presents challenges in data privacy, scalability, and algorithm transparency. This paper explores the role of AI in shaping the Future Internet, discusses its applications, highlights the challenges of integration, and proposes future research directions for achieving intelligent, autonomous, and secure networks.

The Convergence of Future Internet Technologies and Hyperconnectivity: A Path toward Smart Societies

Sanjay Kumar — 2024-12-23

The era of hyperconnectivity has been brought about by the Internet's quick development and the growing number of linked gadgets. How we live, work, and engage with one another in our communities is changing due to the confluence of new Internet technologies and the widespread use of linked gadgets. Smart societies can be developed more easily thanks to hyperconnectivity, which makes it possible for information to flow freely across large networks. interconnected ecosystems that leverage advanced communication systems, real-time data analytics, and intelligent systems to improve daily life. These technologies enable cities to enhance urban living, optimize public services, streamline economic activities, and foster more efficient social processes. At the heart of this transformation is integrating future Internet technologies, such as 5G, edge computing, and artificial intelligence (AI), alongside the Internet of Things (IoT), which provides the backbone for continuous connectivity and data sharing. This article explores the interplay between these technologies and hyperconnectivity, assessing their implications for developing smart cities and societies. It thoroughly reviews the literature on the most recent developments in data infrastructure, networking protocols, communication technologies, artificial intelligence, and the Internet of Things, showing how to create smarter, more resilient, and sustainable urban environments. This study aims to illustrate the future course of hyperconnected smart societies by analyzing the potential and difficulties brought about by these technologies.