| Title | A Step Towards Improvement in Classical Honeypot Security System |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Mudgal, Akshay, Bhatia, Shaveta |
| Conference Name | 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) |
| Date Published | may |
| Keywords | apache spark, Big Data, big data security in the cloud, Data security, High Interaction Honeypot Security, Low Interaction Honeypot, machine learning, Medium Interaction Honeypot, Metrics, Network security, Organizations, parallel processing, pubcrawl, resilience, Resiliency, Scalability, Technological innovation |
| Abstract | Data security is a vast term that doesn't have any limits, but there are a certain amount of tools and techniques that could help in gaining security. Honeypot is among one of the tools that are designated and designed to protect the security of a network but in a very dissimilar manner. It is a system that is designed and developed to be compromised and exploited. Honeypots are meant to lure the invaders, but due to advancements in computing systems parallelly, the intruding technologies are also attaining their gigantic influence. In this research work, an approach involving apache-spark (a Big Data Technique) would be introduced in order to use it with the Honeypot System. This work includes an extensive study based on several research papers, through which elaborated experiment-based result has been expressed on the best known open-source honeypot systems. The preeminent possible method of using The Honeypot with apache spark in the sequential channel would also be proposed with the help of a framework diagram. |
| DOI | 10.1109/COM-IT-CON54601.2022.9850502 |
| Citation Key | mudgal_step_2022 |
A Step Towards Improvement in Classical Honeypot Security System