Search results for " network"

showing 10 items of 6428 documents

A Novel Method for Detecting APT Attacks by Using OODA Loop and Black Swan Theory

2018

Advanced Persistent Threat(APT) attacks are a major concern for the modern societal digital infrastructures due to their highly sophisticated nature. The purpose of these attacks varies from long period espionage in high level environment to causing maximal destruction for targeted cyber environment. Attackers are skilful and well funded by governments in many cases. Due to sophisticated methods it is highly important to study proper countermeasures to detect these attacks as early as possible. Current detection methods under-performs causing situations where an attack can continue months or even years in a targeted environment. We propose a novel method for analysing APT attacks through OO…

Advanced persistent threatNoticeComputer science05 social sciences020206 networking & telecommunicationsOODA loop02 engineering and technologyBlack Swan theoryComputer securitycomputer.software_genreFlow networkBlack swan theorynetwork anomaly detectionLong periodAdvanced Persistent Thread (APT)0502 economics and businessOODA loop0202 electrical engineering electronic engineering information engineeringcomputer050203 business & management
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A Novel Deep Learning Stack for APT Detection

2019

We present a novel Deep Learning (DL) stack for detecting Advanced Persistent threat (APT) attacks. This model is based on a theoretical approach where an APT is observed as a multi-vector multi-stage attack with a continuous strategic campaign. To capture these attacks, the entire network flow and particularly raw data must be used as an input for the detection process. By combining different types of tailored DL-methods, it is possible to capture certain types of anomalies and behaviour. Our method essentially breaks down a bigger problem into smaller tasks, tries to solve these sequentially and finally returns a conclusive result. This concept paper outlines, for example, the problems an…

Advanced persistent threatProcess (engineering)Computer science020209 energyDistributed computing02 engineering and technologylcsh:Technologylcsh:ChemistryStack (abstract data type)020204 information systemsAdvanced Persistent Thread (APT)0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencetietoturvalcsh:QH301-705.5Instrumentationta113Fluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningGeneral EngineeringFlow networklcsh:QC1-999Computer Science Applicationsnetwork anomaly detectionkoneoppiminenlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Deep Learning (DL)Artificial intelligencelcsh:Engineering (General). Civil engineering (General)Raw databusinessverkkohyökkäyksetlcsh:Physics
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State of the Art Literature Review on Network Anomaly Detection with Deep Learning

2018

As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…

Advanced persistent threatbusiness.industryComputer scienceDeep learningdeep learning020206 networking & telecommunications02 engineering and technologyComputer securitycomputer.software_genrenetwork anomaly detectionkoneoppiminen0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAnomaly detectionState (computer science)Artificial intelligencetietoturvabusinessverkkohyökkäyksetcomputer
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Robust consensus in social networks and coalitional games

2014

We study an n-player averaging process with dynamics subject to controls and adversarial disturbances. The model arises in two distinct application domains: i) coalitional games with transferable utilities (TU) and ii) opinion propagation. We study conditions under which the average allocations achieve robust consensus to some predefined target set.

Adversarial systemMathematical optimizationProcess (engineering)Game theory networks allocations robust receding horizon control.EconomicsSettore MAT/09 - Ricerca OperativaSet (psychology)Mathematical economicsGame theory
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Intercomparison of spanish advanced lidars in the framework of EARLINET

2007

To extend and reinforce the action of the EARLINET- ASOS project, a nucleus of Spanish advanced lidars was created. Four systems were intercompared satisfactorily in terms of backscatter coefficients at two elastic wavelengths. Peer Reviewed

AerosolsTeledeteccióMeteorologyRemote sensingAtmosphere -- Laser observationsAtmosfera -- Observacions amb làserOptical radarLidar:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Instrument intercomparisonLidar networkEnvironmental scienceRemote sensing:Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica [Àrees temàtiques de la UPC]
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Imagination in human social cognition, autism, and psychotic-affective conditions

2016

Abstract Complex human social cognition has evolved in concert with risks for psychiatric disorders. Recently, autism and psychotic-affective conditions (mainly schizophrenia, bipolar disorder, and depression) have been posited as psychological ‘opposites’ with regard to social-cognitive phenotypes. Imagination, considered as ‘forming new ideas, mental images, or concepts’, represents a central facet of human social evolution and cognition. Previous studies have documented reduced imagination in autism, and increased imagination in association with psychotic-affective conditions, yet these sets of findings have yet to be considered together, or evaluated in the context of the diametric mode…

Affective Disorders PsychoticMaleAutism-spectrum quotientLinguistics and LanguageCognitive NeuroscienceautismExperimental and Cognitive PsychologyContext (language use)050105 experimental psychologyLanguage and LinguisticsDevelopmental psychology03 medical and health sciencesCognition0302 clinical medicineSocial cognitionmental disordersDevelopmental and Educational PsychologymedicineHumans0501 psychology and cognitive sciencesSociological imaginationAutistic DisorderSocial Behaviorta515creativityDefault mode network05 social sciencesCognitionmedicine.diseaseschizophreniaSchizophreniapolygenic risk scoreta1181AutismFemalePsychologyimaginationautism spectrum quotient030217 neurology & neurosurgeryCognitive psychologyCognition
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OVERCOMING SOCIAL ISOLATION WITH DIGITAL TECHNOLOGIES AMONG AGEING POPULATIONS DURING COVID-19

2021

During Covid-19 social isolation has become more common worldwide, however, some groups, especially elderly people, might have experienced dramatically limited communication due to the lack of skills and access to digital technologies. In this paper, we examined if education was associated with the use of digital technologies to maintain contacts with a family, friends, other social networks and services. The survey was conducted in June-August 2020 by doing 1089 computer-assisted telephone interviews. The questions examined how people aged 50 years and older coped with socioeconomic and health-related impact of COVID-19.We used logistic regression analysis to study the association between …

Age and genderGerontologyCoronavirus disease 2019 (COVID-19)medicineElderly peopleHigh educationeducation level gender Latvia network Survey of Health Ageing and Retirement (SHARE)Social isolationmedicine.symptomPsychologySocioeconomic statusSOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference
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A Bio-Inspired Cognitive Agent for Autonomous Urban Vehicles Routing Optimization

2017

Autonomous urban vehicle prototypes are expected to be efficient even in not explicitly planned circumstances and dynamic environments. The development of autonomous vehicles for urban driving needs real-time information from vehicles and road network to optimize traffic flows. In traffic agent-based models, each vehicle is an agent, while the road network is the environment. Cognitive agents are able to reason on the perceived data, to evaluate the information obtained by reasoning, and to learn and respond, preserving their self-sufficiency, independency, self-determination, and self-reliance. In this paper, a bio-inspired cognitive agent for autonomous urban vehicles routing optimization…

Agent behaviorComputer scienceProcess (engineering)Functional featuresDistributed computingMetabolic network020206 networking & telecommunications02 engineering and technologyvehicular ad hoc networks (VANETs)Urban roadCognitive agentArtificial IntelligenceAutonomous urban vehicles routing optimization0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRouting (electronic design automation)cellular metabolismSoftwareSimulationCell survivalcognitive agentIEEE Transactions on Cognitive and Developmental Systems
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Forecasting Changes in Religiosity and Existential Security with an Agent-Based Model

2018

We employ existing data sets and agent-based modeling to forecast changes in religiosity and existential security among a collective of individuals over time. Existential security reflects the extent of economic, socioeconomic and human development provided by society. Our model includes agents in social networks interacting with one another based on the education level of the agents, the religious practices of the agents, and each agent's existential security within their natural and social environments. The data used to inform the values and relationships among these variables is based on rigorous statistical analysis of the International Social Survey Programme Religion Module (ISSP) and…

Agent-based model060303 religions & theologySocial networkbusiness.industryHuman Development ReportGeneral Social Sciences06 humanities and the artsInternational Social Survey Programme0603 philosophy ethics and religionHuman development (humanity)HomophilyReligiosityComputer Science (miscellaneous)060301 applied ethicsbusinessPsychologySocial psychologySocial influenceJournal of Artificial Societies and Social Simulation
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Contagion and Bank Runs in a Multi-Agent Financial System

2012

In this work we explore contagion from one institution to another that can stem from the existence of a network of financial contracts. In fact, in modern financial systems, an intricate web of claims and obligations links the balance sheets of a wide variety of intermediaries (banks, for instance) into a network structure of interdependencies that have created an environment for feedback elements to generate amplified responses to shocks to the financial system. Small shocks, which initially affect only a few institutions, can indeed spread by contagion to the rest of the financial sector and cause a crisis in the connected intermediaries. Whether the financial crisis does spread depends c…

Agent-based modelComplex contagionFinancial networksmedia_common.quotation_subjectBank runFinancial systemherding behaviorSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.systemic riskSystemic riskInstitutionbank runDeposit insuranceBalance sheetBusinessContagion financial network systemic risk agent based model.media_common
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