| Title | Detection of Zero-Day Attacks in Network IDS through High Performance Soft Computing |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Mishra, Srinivas, Pradhan, Sateesh Kumar, Rath, Subhendu Kumar |
| Conference Name | 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) |
| Keywords | composability, Computers, Data Breach, Data security, defense, Fuzzy logic, High performance computing, Interference, Intrusion detection, intrusion detection system, Metrics, Neural Network, pubcrawl, resilience, Resiliency, soft computing, visualization, Zero day attacks |
| Abstract | The ever-evolving computers has its implications on the data and information and the threats that they are exposed to. With the exponential growth of internet, the chances of data breach are highly likely as unauthorized and ill minded users find new ways to get access to the data that they can use for their plans. Most of the systems today have well designed measures that examine the information for any abnormal behavior (Zero Day Attacks) compared to what has been seen and experienced over the years. These checks are done based on a predefined identity (signature) of information. This is being termed as Intrusion Detection Systems (IDS). The concept of IDS revolves around validation of data and/or information and detecting unauthorized access attempts with an intention of manipulating data. High Performance Soft Computing (HPSC) aims to internalize cumulative adoption of traditional and modern attempts to breach data security and expose it to high scale damage and altercations. Our effort in this paper is to emphasize on the multifaceted tactic and rationalize important functionalities of IDS available at the disposal of HPSC. |
| DOI | 10.1109/ICAIS50930.2021.9395929 |
| Citation Key | mishra_detection_2021 |
Detection of Zero-Day Attacks in Network IDS through High Performance Soft Computing