Intrusion detection systems have proliferated with varying capabilities for data generation and learning towards detecting abnormal behavior. The goal of green intrusion detection systems is to design intrusion detection systems for energy efficiency, taking into account the resource constraints of embedded devices and analyzing energy-performance-security trade-offs. Towards this goal, we provide a comprehensive survey of existing green intrusion detection systems and analyze their effectiveness in terms of performance, overhead, and energy consumption for a wide variety of low-power embedded systems such as the Internet of Things (IoT) and cyber physical systems. Finally, we provide future directions that can be leveraged by existing systems towards building a secure and greener environment.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11397731 | PMC |
| http://dx.doi.org/10.3390/s24175516 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats.
Sci Rep
January 2025
College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia.
Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model.
View Article and Find Full Text PDFAn investigation of feature reduction, transferability, and generalization in AWID datasets for secure Wi-Fi networks.
PLoS One
January 2025
Department of Computer Engineering, University of Engineering and Technology, Lahore, Pakistan.
The widespread use of wireless networks to transfer an enormous amount of sensitive information has caused a plethora of vulnerabilities and privacy issues. The management frames, particularly authentication and association frames, are vulnerable to cyberattacks and it is a significant concern. Existing research in Wi-Fi attack detection focused on obtaining high detection accuracy while neglecting modern traffic and attack scenarios such as key reinstallation or unauthorized decryption attacks.
View Article and Find Full Text PDFText Messaging Versus Postal Reminders to Improve Participation in a Colorectal Cancer Screening Program: Randomized Controlled Trial.
JMIR Mhealth Uhealth
January 2025
see Acknowledgments, .
Article Synopsis
- The study evaluated SMS text reminders for colorectal cancer screening in Catalonia, finding that they were less effective than standard postal reminders in increasing participation rates.
- The trial involved over 24,000 participants aged 50 to 69 and was halted early due to lower than expected participation in the SMS group (17.2% vs. 21.9% for control).
- Despite initial low participation, a recovery strategy of sending additional postal reminders to nonparticipants in the SMS group improved overall participation rates to 29.3%.
The Representativeness of Subslab Soil Gas Collection as Effected by Probe Construction and Sampling Methods.
Ground Water Monit Remediat
June 2024
RTI International.
Subslab soil gas (SSSG) samples were collected as part of an investigation to evaluate vapor intrusion (VI) into a building. The June 2015 Office of Solid Waste and Emergency Response (OSWER) VI Guide (U.S.
View Article and Find Full Text PDFIntrusion detection system for V2X communication in VANET networks using machine learning-based cryptographic protocols.
Sci Rep
December 2024
Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.
Vehicle-to-everything (V2X) communication has many benefits. It improves fuel efficiency, road safety, and traffic management. But it raises privacy and security concerns.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!