“en la senda de Sadosky”
Estimados,
- Conocer acerca del estado del arte de la Forensia Digital
- Conocer acerca de las cuestiones básicas del Derecho Procesal aplicable a la realización de pericias.
- Conocer acerca de algunas herramientas y guías metodológicas para realizar pericias informáticas.
- Unidad I: Forensia Digital. definición, conceptos fundamentales, clasificación y tipos. Antiforensia. Principios del Derecho y legislación relacionada con la Forensia Digital.
- Unidad II: Metodologías para la realización de pericias: guías y procedimientos técnicos. Algunas herramientas para el análisis forense.
- Unidad III: La actuación pericial: cuestiones legales y formales.
- Comprender el proceso de tratamiento de la evidencia digital en todas sus etapas (identificación, adquisición, análisis, preservación y presentación).
- Utilizar y evaluar diferentes herramientas forenses.
- Unidad I: Evidencia Digital. Tipos de evidencia, características legales distintivas, la cadena de custodia.
- Unidad II: Dispositivos Informáticos. Clasificación y tipos de soportes. Alcance de la actividad forense.
- Unidad III: Herramientas para el análisis forense. Casos de estudio.
MLICOM 2020 & related conferences going virtual! Submit your paper and get more citations & extra exposure by presenting online to a global audience (Springer, Scopus, ISI, more)
June 17th, 2020 
Daniela Lopez de Luise
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On-Site and Remote: eKNOW 2020 || November 21 – 25, 2020 – Valencia, Spain
June 16th, 2020 Daniela Lopez de Luise With everyone's health and safety in mind, we are adapting some of the ways in which IARIA conferences are organized:
1. The submission deadlines (and other dates such as notification and camera ready) are rather flexible in order to account for possibly limited author access to the academic/industrial premises where the research work is taking place.
2. During the conference, authors will be able to present their work via pre-recorded videos and/or conference calls (in case they opt to avoid travel).
3. Selection of awarded papers and invitations for expanded versions for IARIA journals are not affected by the presentation method (pre recorded or in person)
We wish you health and safety during these times.
That being said, note that the submission deadline has been extended to August 5.
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:
– eKNOW 2020, The Twelfth International Conference on Information, Process, and Knowledge Management
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org
=================
============== eKNOW 2020 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
eKNOW 2020, The Twelfth International Conference on Information, Process, and Knowledge Management
General page: http://www.iaria.org/conferences2020/eKNOW20.html
Submission page: http://www.iaria.org/conferences2020/SubmiteKNOW20.html
Event schedule: November 21 – 25, 2020 – Valencia, Spain
Contributions:
– regular papers [in the proceedings, digital library]
– short papers (work in progress) [in the proceedings, digital library]
– ideas: two pages [in the proceedings, digital library]
– extended abstracts: two pages [in the proceedings, digital library]
– posters: two pages [in the proceedings, digital library]
– posters: slide only [slide-deck posted at www.iaria.org]
– presentations: slide only [slide-deck posted at www.iaria.org]
– demos: two pages [posted at www.iaria.org]
– doctoral forum submissions: [in the proceedings, digital library]
Proposals for:
– mini symposia: see http://www.iaria.org/symposium.html
– workshops: see http://www.iaria.org/workshop.html
– tutorials: [slide-deck posed on www.iaria.org]
– panels: [slide-deck posed on www.iaria.org]
Submission deadline: August 5, 2020
Sponsored by IARIA, www.iaria.org
Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org
Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.
Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html
eKNOW 2020 Topics (for topics and submission details: see CfP on the site)
Call for Papers: http://www.iaria.org/conferences2020/CfPeKNOW20.html
============================================================
Knowledge fundamentals
Knowledge acquisition, processing, and management; Linguistic knowledge representation; Knowledge modeling and virtualization; Types of knowledge: structural, behavioral, relationships, etc.; Knowledge representation: visual-picture, connectionist model, semi-structured [a la workflow], structured/formal; Knowledge acquisition status: potential new knowledge, guessed semantics, confirmed semantics, auditing confirmed semantics, etc.; Knowledge update: probable insertion, validated insertion, auditing the insertion periodically based on new knowledge, etc.
Advanced topics in Deep/Machine learning
Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Machine learning for systems.
Trends on annotation and extraction
Natural Languages-based features and systems; Annotation handling (multilingual, semantic, shared, open, prosody, etc.); Annotation as a Service (AaaS); Handling argument-based knowledge; Event-based knowledge; Tagging and supertagging; Extraction patterns; Uncertain reasoning; Visual error analysis; Domain-specific paraphrase extraction; Tweets and sentence compression; Role labeling semantic; Heterogeneous annotations
Trends on news and social media
New events-based knowledge;In-context news creation; Superlative expressions; News highlights generation systems; News special summarization systems (e.g, for blind and/or visually impaired people); Sentiment classification (emotion, irony, sarcasm, rhetorical questions, opinion, etc.); Rumor dynamics and social media; Contextual pragmatic models;; Social prediction; Prediction semantic analysis; Predictability of distrust; Aspect-based sentiment analysis; Argument generation systems; Relevance of citation recommendation; Retrieval bias and retrieval performance; High-speed captioning images; Language models for images; Participative KM platforms
Trends on knowledge processing support and mechanisms
Open knowledge bases; Structured knowledge bases; Big knowledge applications; Linked knowledge objects; Knowledge datasets; Machine translation systems; Convolution neural networks; Hybrid representations and equivalent semantics; Processing bilingual information; Topic trends and temporal signatures; Cross-view features; Pattern-based knowledge; Ranking optimization in context; Concept-based classification and ranking; KM design for life long learning and long term uses
Knowledge identification and discovery
Mining for knowledge; Knowledge identification: semantic-ID, etc.; Knowledge discovery: how to express knowledge requests?, how to find knowledge?, etc.; Knowledge refinement: after many acquisitions, former knowledge can change semantically or structurally, etc.; Knowledge clustering
Knowledge management systems
Knowledge data systems; Industrial systems; Context-aware and self-management systems; Imprecision/Uncertainty/Incompleteness in databases; Cognitive science and knowledge agent-based systems; Databases and mobility in databases; Zero-knowledge systems; Expert systems; Tutoring systems; Digital libraries
Knowledge management (KM) and event processing (EP)
Methodologies and approaches to overcome technical hurdles and improve the interplay between KM and EP; Applications from various domains (e.g. financial, manufacturing, trading, telecommunication, service), which benefit from an integrated KM and EP
Knowledge semantics processing and ontology
Dynamic knowledge ontology; Collaborative knowledge ontology; Knowledge matching; Contextual reasoning; Tools for knowledge ontology; Context-based information extraction; Knowledge trading systems; Knowledge exchange portals; Cognitive sytems and knowledge processing; Human aspects in knowledge processing
Technological foresight and socio-economic evolution modelling
Anticipatory networks and decisions; Expert information management; Foresight support systems; Generating technological recommendations and rankings; Information society evolution; Online and real-time Delphi; Ontological knowledge bases of technologies and products; Roadmapping support systems; Strategic support systems; Technological information fusion; Technological policy decision support systems
Process analysis and modeling
Analysis and development of business architectures; Data mining and information retrieval for business processes; Business process modelling; Business process composition; Analysis and management lifecycle; Reasoning on business processes; Optimization of business processes; Adaptive business processes; Business process reengineering; Integration of processes; Process discovery; Business process quality; Resource allocation
Process management
Criteria for measurement of business process models; Monitoring business processes; Business process visualization; Management of business process integration; On-demand business transformation; Performance measurement; Conformance and risk management; Prediction; Business transformation; Packaged industry applications; Industry solutions
Information management
Informational mining/retrieval/classification; Geographic and spatial data Infrastructures; Information technologies; Information management systems; Information ethics and legal evaluations; Optimization and information technology; Organizational information systems
Decision support systems
Multi-criteria decision theory; Artificial intelligence; Adaptive design for decision support systems; Support technologies: knowledge-driven, data-driven, model-driven, and geographically-driven systems; Support methods: artificial neural networks, fuzzy logic, and genetic/evolutionary algorithms; Modeling, interfaces, and performance; Applications using decision support systems
1st Workshop on Cyber Forensics and Advanced Threat Investigations
June 16th, 2020 Daniela Lopez de Luise Investigations in Emerging Networks (CFATI 2020)
https://cfati.conceptechint.net/index.html
in conjunction with EUSPN-2020 conference Nov 2 – 5, 2020 , Madeira, Portugal
Important dates
Paper Submission: 30th June, 2020
Acceptance Notification: 22nd Aug, 2020
Final Manuscript Due: 30th Aug, 2020
Scope of the workshop:
The evolve of networked technologies, such as the internet of things
and cyber-physical systems, possess challenges base on the highly
limited capabilities of their infrastructure devices and the type of
data that can be processed by these devices. Complicated efforts are
required in suitable and timely manners against any detected threats.
Moreover, new frameworks are required to collect and preserve
potential evidential data in suitable and timely manners as well. To
guarantee proper cyber-defenses and strategies against the expanding
landscape of criminal activities as well as rapidly advancing network
technologies such as SDN or 5G and 6G.
There is a growing need for new methodologies, tools, and techniques,
capable of extracting, preserving, and analyzing different evidence
trails in various networked services and devices such as routers,
firewalls, web proxies, and network monitoring tools. Additionally,
there is also a growing need for research in new systems that are
capable of analyzing network traffic, netflows, and systems logs.
Satisfying these demands will aid in reconstructing the timeline of
the cyber-crime/attack under investigation and, possibly, the
identification of the potential actor(s).
The main motivation for this Workshop is to bring together researchers
and practitioners working on cyber forensics and threat investigations
for emerging networks to disseminate current research issues and
advances. Original technical papers describing new, state-of-the-art
research will be considered. The Workshop welcomes submissions that
evaluate existing research results by reproducing experiments. The aim
of this workshop is to provide insight for the discussion of the major
research challenges and achievements on various topics of interest.
CFATI 2020 will be held in conjunction with the 11th International
Conference on Emerging Ubiquitous Systems and Pervasive Networks
(EUSPN 2020) which is co-organized on November 2-5, 2020, Madeira,
Portugal.
Papers on practical as well as on theoretical topics and problems in
various topics related to cyber forensics and threat investigations
are invited, with special emphasis on novel techniques and tools to
collect data from networked devices and services in emerging networks
(such as the ones can be found in cyber-physical systems and Internet
of things). Topics include (but are not limited to):
· Advanced threat investigations, forensic and anti-forensic techniques
· Cooperative and distributed forensics and threat investigations
· Data exfiltration techniques from networked devices and
services (e.g. cyber-physical systems, and Internet-of-Things)
· Attack detection, traceback, and attribution in SDN, 5G, and 6G
· Methods for reconstruction of internet activities in SDN, 5G, and 6G
· Forensics and threat investigations in IoT
· Forensics and threat investigations in peer-to-peer, social,
and cloud networks
· Vulnerability & threat detection and mitigation techniques for
networked services
· Novel large-scale investigations techniques to analyze
intelligence data sets and logs
· Tools and services for cyber forensics and threat investigations
· VoIP forensics, VoIPoW forensics
We also encourage contributions describing innovative work in the
realm of cybersecurity, cyber defense, and digital crimes.
SUBMISSION AND PROCEEDINGS
All papers accepted for workshops will be included in the EUSPN 2020
proceedings, which will be published by Elsevier. The authors must
follow Elsevier guidelines as given on the EUSPN 2020 website. The
number of pages for workshop papers is limited to 6 pages
https://cfati.conceptechint.net/submissions.html
Paper format
The submitted paper must be formatted according to the guidelines of
Procedia Computer Science, MS Word Template, Latex, Template Generic,
Elsevier.
Submission
Authors should submit their contributions here, electronically in PDF format.
https://easychair.org/conferences/?conf=cfati2020
The submission processes will be managed by easychair.org. If you have
used this system before, you can use the same username and password.
If this is your first time using EasyChair, you will need to register
for an account by clicking the “I have no EasyChair account” button.
Upon completion of registration, you will get a notification email
from the system and you are ready for submitting your paper. You can
upload and re-upload the paper to the system by the submission due
date. In case of any problem with submission, please contact the
workshop chair for assistance
https://cfati.conceptechint.net/contact-us.html
Selective outstanding papers
Selected papers presented at the workshop, after further revision,
will have the opportunity to be published in special issues in indexed
and/or high impact factor journals (details will be put online
shortly).
All workshops accepted papers will be printed in the conference
proceedings published by Elsevier Science in the open-access Procedia
Computer Science series (online). Procedia Computer Sciences is hosted
on www.elsevier.com and on Elsevier content platform ScienceDirect,
and will be freely available worldwide. All papers in Procedia will
also be indexed by Scopus and Engineering Village (Ei). This includes
EI Compendex. All accepted papers will also be indexed in DBLP.
If you have any further questions, please contact the workshop
organizers via https://cfati.conceptechint.net/contact-us.html
CFP: Special Issue on “Advances in Artificial Intelligence and Machine Learning for BCI/BMI”
June 16th, 2020 Daniela Lopez de Luise Special Issue on “Advances in Artificial Intelligence and Machine Learning for BCI/BMI”
Journal: Bioengineering (ISSN 2306-5354).
Deadline for manuscript submissions: 31 December 2020.
URL:https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI
Flyer: https://www.mdpi.com/journal/bioengineering/special_issue_flyer_pdf/AI_BCI/web
Dear colleagues,
The brain–computer interface (BCI), also called the brain–machine interface (BMI), is an emerging technology involving software and hardware communication systems allowing the use of brain activity to control external devices such as computers, robots, and machines. BCI systems translate the activity of the brain to conduct an action or a command that will be executed by the external device. Artificial intelligence (AI)/machine learning (ML) has received great attention for the development of BCI applications to solve difficult problems in several domains, in particular, medical and robotic fields. AI/ML has since become the most efficient tool for BCI systems. This Special Issue aims to solicit original research papers as well as review articles focusing on recent advances in AI/ML for BCI research.
The main topics include, but are not limited to, the following:
– Brain–computer interface (BCI)/Brain–machine interface (BMI)
– Artificial intelligence in BCI/BMI
– Machine learning in BCI/BMI
– Deep learning in BCI/BMI
– Brain signal processing for BCI/BMI
– Neurofeedback
– Neural Rehabilitation Engineering
– Related applications
Assoc. Prof. Dr. Larbi Boubchir
Prof. Dr. Yuling Yan
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Special Issue Editors:
Assoc. Prof. Dr. Larbi Boubchir (larbi.boubchir@ai.univ-paris8.fr)
Guest Editor
LIASD research Lab., University of Paris 8, France
Interests: biomedical signal processing; EEG; image processing; machine learning; brain–computer interface; biometrics
Prof. Dr. Yuling Yan (yyan1@scu.edu)
Guest Editor
Department of Bioengineering, Santa Clara University, USA
Interests: biosignal processing; bioimaging; AI-assisted disease classification; laryngeal dynamics and physiology; biomedical visualization; brain-computer interface