A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder with Day-Forward-Chaining Analysis
2020
IEEE Access
Preserved Fulltext
ACKNOWLEDGMENT This research was partly conducted under a contract of "Research and development on IoT malware removal / make it non-functional technologies for effective use of the radio spectrum" among ...
"Research and Development for Expansion of Radio Wave Resources(JPJ000254)", which was supported by the Ministry of Internal Affairs and Communications, Japan. ...
METHODOLOGY This section presents the proposed method for automated and real-time alert prioritization using unsupervised isolation forest, SAE, and day-forward-chaining analysis. ...
doi:10.1109/access.2020.3041837
fatcat:j2gge7abtfb6pagdgfvddhx25m
Forecasting of COVID-19 cases using Deep learning models: Is it reliable and practically significant?
2021
Results in Physics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Subsequently, the prediction of cumulative confirmed, death and recovered global cases are modelled with Auto-Regressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Stacked Long Short-Term ...
The spread of COVID-19 is increasing day by day, imposing human lives and economy at risk. ...
The authors would also like to acknowledge the technical expertise provided by the Clean and Resilient Energy Systems (CARES) Laboratory, Texas A&M University, ...
doi:10.1016/j.rinp.2021.103817
pmid:33462560
pmcid:PMC7806459
fatcat:oyycklz67vgyncz5dsddqrpfzm
D2.1 5G Security: Current Status and Future Trends
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
It includes a summary of the 5G threat landscape, the 5G networks classification criteria and their threat taxonomy; a description of security requirements of 5G systems, divided into domain-specific use ...
This deliverable aims to provide a basis for the identification of use cases and the development of 5G security enablers in INSPIRE-5Gplus. ...
In [113] , an anomaly detection system is devised to spot cyberthreats in 5G networks based on deep learning techniques, particularly Deep Belief Networks (DBN), Stacked Auto-Encoders (SAE) and Long Short-Term ...
doi:10.5281/zenodo.3947893
fatcat:bg7jnn5ph5fv3gjp7pqacy3us4
D2.1 5G Security: Current Status and Future Trends
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
It includes a summary of the 5G threat landscape, the 5G networks classification criteria and their threat taxonomy; a description of security requirements of 5G systems, divided into domain-specific use ...
This deliverable aims to provide a basis for the identification of use cases and the development of 5G security enablers in INSPIRE-5Gplus. ...
In [113] , an anomaly detection system is devised to spot cyberthreats in 5G networks based on deep learning techniques, particularly Deep Belief Networks (DBN), Stacked Auto-Encoders (SAE) and Long Short-Term ...
doi:10.5281/zenodo.4569519
fatcat:7aersbhzyrccrn563shazvj4dq
NLP Methods in Host-based Intrusion Detection Systems: A Systematic Review and Future Directions
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The Host-Based Intrusion Detection Systems (HIDS) are widely used for defending against cybersecurity attacks. ...
and predict attacker's next steps. ...
Filter+VAE (Variational Auto Encoder) avoiding any data pre-processing [S58] outperformed semantic ELM [S40] . ...
arXiv:2201.08066v1
fatcat:t6nsqoj5hnhnhcv4hsugsnau6m
An Empirical Study on System Level Aspects of Internet of Things (IoT)
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The authors would also like to thank the P C Panchariya, Director, CSIR-CEERI, Pilani, for his encouragement and constant support. ...
Acknowledgment The authors would like to thank the Indian National Academy of Engineering (INAE), Gurgaon, and R V College of Engineering (RVCE), Bengaluru, for their financial support. ...
[132] proposed Gaussian Bernoulli restricted Boltzmann Machine (GBRBM) based Deep Neural Network with auto Encoder (DAE). ...
doi:10.1109/access.2020.3029847
fatcat:5nprx4xtbjfnnkyibk6vbeg47m
Applications of Artificial Intelligence in Battling Against Covid-19: A Literature Review
2020
Chaos, Solitons & Fractals
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works. ...
The rapid growth of the pandemic has wreaked havoc and prompted the need for immediate reactions to curb the effects. ...
A Neural Network approach is presented in [391] which is a modified auto-encoder and is used to predict the epidemic curve of different regions in Italy. ...
doi:10.1016/j.chaos.2020.110338
pmid:33041533
pmcid:PMC7532790
fatcat:gl3i37hag5gflajsa7fh6khvva
International Journal of Computer Science July 2021
2021
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
See authors guide for manuscript preparation and submission guidelines. ...
, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. ...
Stages for their activity based anomaly detection included Activity Recognition, Activity discovery and anomaly detection using isolation forest. ...
doi:10.5281/zenodo.5543977
fatcat:vxk2ynl3l5bbpcvpda2lt4qef4
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
cyber systems, which include device identification, vulnerability discovery, intrusion detection systems (IDSs), honeypots, attribution, and threat intelligence (TI); iv) reviews the relevant content ...
In the end, the paper puts forward our security considerations on the future development of DT-based smart grid. ...
ACKNOWLEDGMENT We appreciate the support of the National Key R&D Program of China under Grants No. 2020YFB1807500, No. 2020YFB1807504, and National Science Foundation of China Key Project under Grants ...
arXiv:2205.11783v1
fatcat:fz43u2e6g5gyfepqz44tezelba
D6.1 System Orchestration And Management Design And Implementation
2018
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
It concludes all the efforts done at WP6, finalizing the control framework, the SLA-base deployment design, and completes the symbolic execution checking and anomaly detection tools implementation. ...
[8] presents a stakeholder analysis, as well as a Strengths Weaknesses Opportunities Threats (SWOT) analysis. ...
; • Aligned with NFV; • Uses TOSCA; • Integration with other tools (ManageIQ); • Auto-healing and auto-scaling capabilities; Weakest Points: • Still immature and unstable; • VNFFG and NS only released ...
doi:10.5281/zenodo.1232116
fatcat:sdtzshzkljbennvyyi7qklryby
Intelligent system for COVID-19 prognosis: a state-of-the-art survey
2021
Applied intelligence (Boston)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To deal with the challenges of the medical field, a broad range of intelligent based methods, frameworks, and equipment have been recommended by Machine Learning (ML) and Deep Learning. ...
the prognosis of COVID-19, (iii) the growth in the development of type of ML and advanced ML methods for COVID-19 prognosis,(iv) analyzing the impact of data types and the nature of data along with challenges ...
It is observed that various methods such as CNN, RNN, and GAN, LSTM, Auto Encoder Decoder etc. have been mostly used and their usage levels statistics have been mentioned in Fig. 8 . ...
doi:10.1007/s10489-020-02102-7
pmid:34764577
pmcid:PMC7786871
fatcat:vgw3qgocvnhibd6uxexuciqanm
AI and ML – Enablers for Beyond 5G Networks
2020
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In the sequel the white paper elaborates on use case and optimisation problems that are being tackled with AI/ML, partitioned in three major areas, namely: network planning, network diagnostics/insights ...
Feed-forward neural networks, deep neural networks, recurrent neural networks, and convolutional neural networks belong to this family. ...
Besides, it can also be used for threat comparison and analysis. ...
doi:10.5281/zenodo.4299895
fatcat:ngzbopfm6bb43lnrmep6nz5icm
Artificial Intellgence – Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
) and the University of Applied Sciences and Arts Northwestern Switzerland. ...
Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. ...
Wetzel and T. Iraki for helpful comments and discussion. ...
arXiv:2112.05657v1
fatcat:wdjgymicyrfybg5zth2dc2i3ni
The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping
2013
European Journal of Operational Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We demonstrate our approach on the routing problem for unmanned air vehicles with minimization of distance traveled and minimization of radar detection threat objectives. , Gokcen Turkel Dynamic scheduling ...
Also, these problems have been addressed in collaboration with industry, and have led to substantial economic savings. We analyze scheduling chains of divisible computations. ...
Window analysis is used to discuss the efficiency change over time. Data were collected from auto and auto component industries in Taiwan. ...
doi:10.1016/j.ejor.2012.08.016
fatcat:c27kagfnxnhjfbil2rydhjhomm
Statistical shape modeling in virtual assembly using PCA-technique
2013
Journal of manufacturing systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Special thanks to Prof ElMaraghy W. for his invaluable support and supervision. Also, we would like to thank Dr ElGeddawy T. for sharing with us his expertise in manufacturing system co-evolution. ...
Acknowledgements We thank the whole Geometry and Motion Planning Group for useful discussions and help in the implementation. ...
Scope of the paper A generalized method using a straight forward Principal Component Analysis (PCA) technique is presented and discussed. ...
doi:10.1016/j.jmsy.2013.02.002
fatcat:eaucg4ewmre3lefsbiihax6tza
« Previous
Showing results 1 — 15 out of 64 results