Title | Development of Cyber Attack Model for Private Network |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Al-Amin, Mostafa, Khatun, Mirza Akhi, Nasir Uddin, Mohammed |
Conference Name | 2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS) |
Date Published | may |
Keywords | Backdoor, Companies, composability, compositionality, Computational modeling, cyber attack, Cyber Dependencies, cyber threat, cyberattack, DMZ, firewalls, honeypot, Human Behavior, human factors, LAN, Malware, Metrics, network threat, network vulnerabilities, Payload, private network, pubcrawl, python, resilience, Resiliency, Scalability, security, Servers, Technological innovation |
Abstract | Cyber Attack is the most challenging issue all over the world. Nowadays, Cyber-attacks are increasing on digital systems and organizations. Innovation and utilization of new digital technology, infrastructure, connectivity, and dependency on digital strategies are transforming day by day. The cyber threat scope has extended significantly. Currently, attackers are becoming more sophisticated, well-organized, and professional in generating malware programs in Python, C Programming, C++ Programming, Java, SQL, PHP, JavaScript, Ruby etc. Accurate attack modeling techniques provide cyber-attack planning, which can be applied quickly during a different ongoing cyber-attack. This paper aims to create a new cyber-attack model that will extend the existing model, which provides a better understanding of the network's vulnerabilities.Moreover, It helps protect the company or private network infrastructure from future cyber-attacks. The final goal is to handle cyber-attacks efficacious manner using attack modeling techniques. Nowadays, many organizations, companies, authorities, industries, and individuals have faced cybercrime. To execute attacks using our model where honeypot, the firewall, DMZ and any other security are available in any environment. |
DOI | 10.1109/ICPS55917.2022.00046 |
Citation Key | al-amin_development_2022 |