To determine the effectiveness of any defense mechanism, there is a need for comprehensive real-time network data that solely references various attack scenarios based on older software versions or unprotected ports, and so on. This presented dataset has entire network data at the time of several cyber attacks to enable experimentation on challenges based on implementing defense mechanisms on a larger scale. For collecting the data, we captured the network traffic of configured virtual machines using Wireshark and tcpdump. To analyze the impact of several cyber attack scenarios, this dataset presents a set of ten computers connected to Router1 on VLAN1 in a Docker Bridge network, that try and exploit each other. It includes browsing the web and downloading foreign packages including malicious ones. Also, services like File Transfer Protocol (FTP) and Secure Shell (SSH) were exploited using several attack mechanisms. The presented dataset shows the importance of updating and patching systems to protect themselves to a greater extent, by following attack tactics on older versions of packages as compared to the newer and updated ones. This dataset also includes an Apache Server hosted on a different subset of VLAN2 which is connected to the VLAN1 to demonstrate isolation and cross- VLAN communication. The services on this web server were also exploited by the previously stated ten computers. The attack types include Distributed Denial of Service, SQL Injection, Account Takeover, Service Exploitation (SSH, FTP), DNS and ARP Spoofing, Scanning and Firewall Searching and Indexing (using Nmap), Hammering the services to brute-force passwords and usernames, Malware attacks, Spoofing, and Man-in-the-Middle Attack. The attack scenarios also show various scanning mechanisms and the impact of Insider Threats on the entire network.

With the significant growth of the cyber environment over recent years, defensive mechanisms against adversaries have become an important step in maintaining online safety. The adaptive defense mechanism is an evolving approach that, when combined with nature-inspired algorithms, allows users to effectively run a series of artificial intelligence-driven tests on their customized networks to detect normal and under attack behavior of the nodes or machines attached to the network. This includes a detailed analysis of the difference in the throughput, end-to-end delay, and packet delivery ratio of the nodes before and after an attack. In this paper, we compare the behavior and fitness of the nodes when nodes under a simulated attack are altered, aiding several nature-inspired cyber security-based adaptive defense mechanism approaches and achieving clear experimental results. The simulation results show the effectiveness of the fitness of the nodes and their differences through a specially crafted metric value defined using the network performance statistics and the actual throughput difference of the attacked node before and after the attack.

The emergence of quantum computing poses a transformative challenge to established cybersecurity protocols and traditional cryptographic systems, necessitating an urgent transition toward post-quantum cryptography. As quantum threats evolve from theoretical possibilities to practical risks, governments and industrial sectors are increasingly compelled to develop strategies for adopting quantum-resistant algorithms. This paper evaluates the global landscape of post-quantum security, with a specialized focus on the defense strategies adopted by technologically advanced nations. It investigates the efforts of these countries to construct quantum-resilient security architectures while addressing the distinct technical and resource constraints faced by developing nations. A primary contribution of this research is the analysis of the Industry Readiness Assessment Survey, which evaluates organizational awareness and technical preparedness within the specific context of India’s digital and regulatory environment. The findings highlight the critical importance of mitigating "harvest now, decrypt later" threats through international cooperation and the development of sovereign transition plans. By synthesizing empirical survey data with strategic policy analysis, this paper provides a roadmap for securing national interests and ensuring long-term data integrity against future quantum computational capabilities