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- ArticleSeptember 2024
On Bidirectional Deterministic Finite Automata
AbstractBidirectional deterministic finite automata (biDFA) are a recent innovation with many potential applications. In this paper, we present novel theoretical results for bidirectional automata. We show that there exist regular languages, where minimal ...
- research-articleJuly 2024
A categorical interpretation of state merging algorithms for DFA inference
AbstractWe use Category Theory to interpret the family of algorithms for inference of DFAs that work by merging states. This interpretation allows us to characterize the structure of the search space and to define criteria for the convergence of these ...
Highlights- We use category theory to interpret state merging inference algorithms for DFAs.
- We give a new definition of the search space of inference algorithms.
- We define criteria that can be used to prove convergence of inference ...
- research-articleApril 2024JUST ACCEPTED
PTME: A Regular Expression Matching Engine Based on Speculation and Enumerative Computation on FPGA
ACM Transactions on Reconfigurable Technology and Systems (TRETS), Just Accepted https://doi.org/10.1145/3655626Fast regular expression matching is an essential task for deep packet inspection. In previous works, the regular expression matching engine on FPGA struggled to achieve an ideal balance between resource consumption and throughput. Speculation and ...
- research-articleSeptember 2024
The design of an intrusion detection system in MANET using the IGWO-ANN classification algorithm
International Journal of Networking and Virtual Organisations (IJNVO), Volume 31, Issue 1Pages 22–42https://doi.org/10.1504/ijnvo.2024.141554Presently, attacks on the internet are maximised with the internet's enhancement. Intrusion detection system (IDS) is one of the compassionate layers relevant to information protection. Though researchers have found enormous techniques, there are still ...
- research-articleMarch 2024
NLDyn - An open source MATLAB toolbox for the univariate and multivariate nonlinear dynamical analysis of physiological data
Computer Methods and Programs in Biomedicine (CBIO), Volume 243, Issue Chttps://doi.org/10.1016/j.cmpb.2023.107941Highlights- NLDyn offers 80+ methods for intricate analysis of multi-channel physiological signal dynamics.
- NLDyn integrates advanced nonlinear and multivariate techniques.
- Developed in MATLAB, NLDyn features an intuitive interface with ...
We present NLDyn, an open-source MATLAB toolbox tailored for in-depth analysis of nonlinear dynamics in biomedical signals. Our objective is to offer a user-friendly yet comprehensive platform for researchers to explore ...
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- ArticleNovember 2023
Differential Fault Analysis Against AES Based on a Hybrid Fault Model
AbstractIn this paper, a differential fault analysis based on a hybrid fault model is proposed. The hybrid fault model is comprising a one-byte and multi-byte by injecting faults in the state. Through both theory and simulations, which successfully ...
- research-articleMay 2024
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment
AIMLSystems '23: Proceedings of the Third International Conference on AI-ML SystemsArticle No.: 11, Pages 1–8https://doi.org/10.1145/3639856.3639867Training machine and deep learning models directly on extremely resource-constrained devices is the next challenge in the field of tiny machine learning. The related literature in this field is very limited, since most of the solutions focus only on on-...
- ArticleJuly 2023
The Infrastructure Sector Sustainability: Using of the Deterministic Frontier Analysis for Performance-Accounting Measurement
Computational Science and Its Applications – ICCSA 2023 WorkshopsPages 31–41https://doi.org/10.1007/978-3-031-37114-1_3AbstractThe capacity of the infrastructure sector to generate value for the territory in terms of social inclusion, economic growth, and employment may be determined as of today (2023) on the basis of empirical evidence. With the technological ...
- research-articleJune 2023
Fast Synthetic Data-Aware Log Generation for Temporal Declarative Models
GRADES-NDA '23: Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)Article No.: 7, Pages 1–9https://doi.org/10.1145/3594778.3594881Business Process Management algorithms are heavily limited by suboptimal algorithmic implementations that cannot leverage state-of-the-art algorithms in the field of relational and graph databases. The recent interest in this discipline for various IT ...
- review-articleJune 2023
Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey
Expert Systems with Applications: An International Journal (EXWA), Volume 219, Issue Chttps://doi.org/10.1016/j.eswa.2023.119651AbstractThe preliminary diagnosis and evaluation of the presence and/or severity of Parkinson’s disease is crucial in controlling the progress of the disease. Real-time, non-invasive methodologies based on machine learning-enhanced voice ...
- research-articleApril 2023
Combining the global trends of DFA or CDFA of different orders
AbstractWhen dealing with the detrended fluctuation analysis (DFA) and its variants such as the higher-order DFA and the continuous DFA (CDFA), removing the mean, integrating the signal and detrending it amount to applying an equivalent linear ...
- research-articleJune 2023
Are alternatives to backpropagation useful for training Binary Neural Networks? An experimental study in image classification
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied ComputingPages 1171–1178https://doi.org/10.1145/3555776.3577674Current artificial neural networks are trained with parameters encoded as floating point numbers that occupy lots of memory space at inference time. Due to the increase in size of deep learning models, it is becoming very difficult to consider training ...
- research-articleJanuary 2023
Blockchain-based secure deduplication against duplicate-faking attack in decentralised storage
International Journal of Computational Science and Engineering (IJCSE), Volume 26, Issue 4Pages 406–417https://doi.org/10.1504/ijcse.2023.132146Secure client-side deduplication enables cloud server to efficiently save storage space and communication bandwidth without compromising privacy. However, the potential duplicate-faking attack (DFA) may cause data users to lose their outsourced data. ...
- research-articleDecember 2022
Global-local integration for GNN-based anomalous device state detection in industrial control systems
Expert Systems with Applications: An International Journal (EXWA), Volume 209, Issue Chttps://doi.org/10.1016/j.eswa.2022.118345Highlights- A GNN-based method, named the GLIN, is proposed to detect anomalous ICS devices.
Anomaly detection are gaining popularity among the research communities for its essential role in securing Industrial Control Systems (ICS). Over the decades, diverse approaches have been proposed to profile anomalous behaviours ...
- review-articleNovember 2022
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Computer Methods and Programs in Biomedicine (CBIO), Volume 226, Issue Chttps://doi.org/10.1016/j.cmpb.2022.107133Highlights- Speech and voice may be valuable markers for PD.
- Large differences between ...
Speech impairment is an early symptom of Parkinson's disease (PD). This study has summarized the literature related to speech and voice in detecting PD and assessing its severity.
... - research-articleOctober 2022Best Paper
Synthesizing state machines for data planes
SOSR '22: Proceedings of the Symposium on SDN ResearchPages 81–88https://doi.org/10.1145/3563647.3563650The emergence of programmable switches such as the Intel Tofino has made it possible, in theory, to implement many network monitoring applications directly in the network data plane. In practice, however, such implementations are often more challenging ...
- research-articleAugust 2022
An intelligent framework for prediction and forecasting of dissolved oxygen level and biofloc amount in a shrimp culture system using machine learning techniques
Expert Systems with Applications: An International Journal (EXWA), Volume 199, Issue Chttps://doi.org/10.1016/j.eswa.2022.117160Graphical abstractDisplay Omitted
Highlights- Predictive model for average dissolved oxygen (DO) levels is robust and reliable.
The present study approaches towards the feasibility of prediction and forecasting of dissolved oxygen (DO) and biofloc amount using the state of art machine learning algorithms in a shrimp culture system. The study was carried out ...
- ArticleJune 2022
- research-articleMay 2022
An efficient differential fault attack against SIMON key schedule
Journal of Information Security and Applications (JISA), Volume 66, Issue Chttps://doi.org/10.1016/j.jisa.2022.103155AbstractSIMON, a family of lightweight block ciphers, has received much attention from the cryptology community due to its improved performance for hardware compared with that of other ciphers. A popular physical attack method, differential ...
- research-articleApril 2022
A matrix approach to get the variance of the square of the fluctuation function of the DFA
AbstractThe fluctuation analysis (FA) and the detrended fluctuation analysis (DFA) make it possible to estimate the Hurst exponent H, which characterizes the self-similarity of a signal. Both are based on the fact that the so-called ...