Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features

Pourtalebi, Shahab; Horváth, Imre

doi:10.1631/fitee.1600997

Cited by 4 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After a certain amount of time has been reached, the algorithm will accept only good results. The most popular cooling schedule is the exponential cooling schedule shown in (6):…”

Section: ) Seed Energy Calculationmentioning

confidence: 99%

See 1 more Smart Citation

UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems

Chen,

Yu,

Xie

et al. 2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

With the large number of computer technology and modern communication technology used in power monitoring systems, its security protection is constantly facing new challenges. The UEFI firmware is used to construct the physical connection structure of key devices in the power monitoring system in this paper. Using fuzzy testing methods to mine the vulnerabilities existing in the power monitoring system by generating a large number of variant test cases as the monitoring object, based on the collection of information of the basic blocks covered during the test run of the vulnerability seed to determine the target point to which the seed belongs. The coverage weight of the seed is determined with the help of the simulated annealing algorithm in order to accomplish task division of the target point. The fuzzy test method is used to analyze the operation mechanism and characteristics of the vulnerabilities in the power monitoring system, and the firmware attack mechanism of different HOOKs under UEFI is explored to summarize the characteristics of the scenarios in which the vulnerabilities appear in the power system as well as their impacts. The results show that the impact caused by vulnerabilities in the power monitoring system on the generation side and transmission side is mainly to damage the integrity and availability of information, the integrity and availability of the vulnerabilities in the generation side of the production side of the device with a risk rating of 63.74, 71.73, respectively, and the vulnerabilities in the transmission side of the SCADA with a risk rating of 79.04, 69.36, respectively. The vulnerabilities detected 608 security vulnerabilities were implanted in the UEF module, and 653 possible security problems were reported by the detection, of which the statistical underreporting rate was 1.48% and the false alarm rate was 9.05%.

show abstract

“…After a certain amount of time has been reached, the algorithm will accept only good results. The most popular cooling schedule is the exponential cooling schedule shown in (6):…”

Section: ) Seed Energy Calculationmentioning

confidence: 99%

“…Organizations that cause system integrity damage, denial of service, network abuse, etc. [6][7]. Leonid et al proposed an enterprise service bus-based sensor integration scheme for power network vulnerability prediction that achieves the prediction of the probability of defects in specific network elements.…”

Section: Introductionmentioning

confidence: 99%

UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems

Chen,

Yu,

Xie

et al. 2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

“…The objective of this research project was to develop a software toolbox (SMF-TB) for pre-embodiment design of first-generation CPSs. The novelty of this toolbox is that it (i) tries to cope with the inherent heterogeneity of CPSs (caused by interrelated hardware, software and cyberware constituents) on system-level, (ii) combines operational and architectural modeling through (transdisciplinary) system-level features (SLFs), and (iii) provides effective methodological support for creating SLFs by using genotypes, phenotypes and instances [77]. The two main parts and the respective components of the SMF-TB are shown in Figure 3.…”

Section: System-level Feature-based Conceptualization and Modeling Ofmentioning

confidence: 99%

A Computational Framework for Procedural Abduction Done by Smart Cyber-Physical Systems

Horváth

2018

Designs

Self Cite

View full text Add to dashboard Cite

To be able to provide appropriate services in social and human application contexts, smart cyber-physical systems (S-CPSs) need ampliative reasoning and decision-making (ARDM) mechanisms. As one option, procedural abduction (PA) is suggested for self-managing S-CPSs. PA is a knowledge-based computation and learning mechanism. The objective of this article is to provide a comprehensive description of the computational framework proposed for PA. Towards this end, first the essence of smart cyber-physical systems is discussed. Then, the main recent research results related to computational abduction and ampliative reasoning are discussed. PA facilitates beliefs-driven contemplation of the momentary performance of S-CPSs, including a ‘best option’-based setting of the servicing objective and realization of any demanded adaptation. The computational framework of PA includes eight clusters of computational activities: (i) run-time extraction of signals and data by sensing, (ii) recognition of events, (iii) inferring about existing situations, (iv) building awareness of the state and circumstances of operation, (v) devising alternative performance enhancement strategies, (vi) deciding on the best system adaptation, (vii) devising and scheduling the implied interventions, and (viii) actuating effectors and controls. Several cognitive algorithms and computational actions are used to implement PA in a compositional manner. PA necessitates not only a synergic interoperation of the algorithms, but also an objective-dependent fusion of the pre-programmed and the run time acquired chunks of knowledge. A fully fledged implementation of PA is underway, which will make verification and validation possible in the context of various smart CPSs.

show abstract

An IPv6 routing lookup algorithm based on subsection intensive compression and multi-branch tree

Pan

Wei

Zhao

et al. 2017

2017 IEEE International Conference on Information and Automation (ICIA)

View full text Add to dashboard Cite

Information schema constructs for defining warehouse databases of genotypes and phenotypes of system manifestation features

Cited by 4 publications

References 32 publications

UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems

UEFI-based Research on the Inner Operation Mechanism and Characteristics of Firmware Vulnerabilities in Key Devices of Electric Power Monitoring Systems

A Computational Framework for Procedural Abduction Done by Smart Cyber-Physical Systems

An IPv6 routing lookup algorithm based on subsection intensive compression and multi-branch tree

Contact Info

Product

Resources

About