Defending the Digital Frontier: IDPS and the Battle Against Cyber Threat
Preprint
- 9 November 2023
- preprint
- Published by MDPI AG in Preprints.org
Abstract
The ever-evolving landscape of technology continually drives the demand for more robust and secure systems. Intrusion Detection and Prevention Systems (IPS) play a pivotal role in safeguarding digital infrastructures. IPS harnesses a blend of cutting-edge technologies, specifically Network-Based, Wireless-Based, and Host-Based Intrusion Detection Systems (IDS), to fortify network security. This multifaceted approach enhances the system's capacity to scrutinize incoming data and network traffic, effectively reducing the risk of intrusion. In the realm of malicious activity detection, IPS employs a diverse array of techniques and mechanisms. Our proposed IPS integrates both anomaly-based and signature-based analysis approaches. In signature-based analysis, intrusions are identified by matching data collected from various activities with pre-defined signatures, employing rule-based methods to detect anomalies effectively. In the anomaly-based analysis approach, the system juxtaposes current activities with a baseline of normal behaviour to flag any deviations. This is achieved through distance-based methods, ensuring a well-rounded approach to threat detection. Our comprehensive prevention system encompasses a suite of security measures, including anti-virus software, Deep Packet Inspection, and Quarantine. These components work in synergy to detect and thwart malicious activities effectively. Even when concealed or hidden, the IPS remains a reliable sentinel, ensuring the integrity of your digital ecosystem. This review delves into the intricate web of terminologies and concepts surrounding Intrusion Detection and Prevention Systems, shedding light on the evolving technology landscape and the critical role IPS plays in bolstering cybersecurity.Keywords
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This publication has 43 references indexed in Scilit:
- Influence of Hardiness and Habit on Security Behaviour Intention--Model2022
- Cybersecurity for Data Science: Issues, Opportunities, and Challenges2021
- What we think we know about cybersecurity: an investigation of the relationship between perceived knowledge, internet trust, and protection motivation in a cybercrime contextBehaviour & Information Technology, 2021
- A survey on intrusion detection and prevention systems in digital substationsComputer Networks, 2021
- An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart cityInternational Journal of Communication Systems, 2020
- Detecting Backdoor Attacks via Class Difference in Deep Neural NetworksIEEE Access, 2020
- A survey and taxonomy of the fuzzy signature-based Intrusion Detection SystemsApplied Soft Computing, 2020
- A deep learning approach for proactive multi-cloud cooperative intrusion detection systemFuture Generation Computer Systems, 2019
- A review on smart home present state and challenges: linked to context-awareness internet of things (IoT)Wireless Networks, 2018
- Practical privacy‐preserving deep packet inspection outsourcingConcurrency and Computation: Practice and Experience, 2018