scholarly journals A new methodology for analyzing vehicle network topologies for critical hacking

2020 ◽  
Author(s):  
Maen Ghadi ◽  
Ádám Sali ◽  
Zsolt Szalay ◽  
Árpád Török
Keyword(s):  
Network Security ◽  
Statistical Techniques ◽  
New Approach ◽  
Large Sample ◽  
Passenger Safety ◽  
Network Topologies ◽  
Vehicle Networks ◽  
Positive Effect ◽  
Vehicle Network ◽  
New Framework

Abstract This study aims to provide a new approach for describing and measuring the vulnerability of in-vehicle networks regarding cyberattacks. Cyberattacks targeting in-vehicle networks can result in a reasonable threat considering passenger safety. Unlike previous literature, the methodology focuses on a comparatively large sample of vehicle networks (114 objects) by proposing a new framework of statistical techniques for measuring, classifying, and modelling in-vehicle networks concerning the changed vulnerability, instead of dealing with each vehicle network individually. To facilitate understanding of the vulnerability patterns of in-vehicle networks, the dataset has been evaluated through three analytic stages: vulnerability identification, classification, and modeling. The result has helped in ranking vehicles based on their network vulnerability level. The result of the modeling has shown that every additional remote endpoint installation causes a relevant weakening in security. Higher cost vehicles have also appeared to be more vulnerable to cyberattacks, while the increase in the number of segmented network domains has had a positive effect on network security.

scholarly journals Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images

Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1994
Author(s):  
Yasmin M. Kassim ◽  
Feng Yang ◽  
Hang Yu ◽  
Richard J. Maude ◽  
Stefan Jaeger
Keyword(s):  
Plasmodium Falciparum ◽  
Parasite Species ◽  
Malaria Diagnosis ◽  
Smear Microscopy ◽  
New Approach ◽  
Development Stages ◽  
Patient Level ◽  
Microscopy Images ◽  
Thick Smear ◽  
New Framework

We propose a new framework, PlasmodiumVF-Net, to analyze thick smear microscopy images for a malaria diagnosis on both image and patient-level. Our framework detects whether a patient is infected, and in case of a malarial infection, reports whether the patient is infected by Plasmodium falciparum or Plasmodium vivax. PlasmodiumVF-Net first detects candidates for Plasmodium parasites using a Mask Regional-Convolutional Neural Network (Mask R-CNN), filters out false positives using a ResNet50 classifier, and then follows a new approach to recognize parasite species based on a score obtained from the number of detected patches and their aggregated probabilities for all of the patient images. Reporting a patient-level decision is highly challenging, and therefore reported less often in the literature, due to the small size of detected parasites, the similarity to staining artifacts, the similarity of species in different development stages, and illumination or color variations on patient-level. We use a manually annotated dataset consisting of 350 patients, with about 6000 images, which we make publicly available together with this manuscript. Our framework achieves an overall accuracy above 90% on image and patient-level.

Network Control of Vehicle Lateral Dynamics With Control Allocation and Dynamic Message Priority Assignment

2013 ◽  
Author(s):  
Zhibin Shuai ◽  
Hui Zhang ◽  
Junmin Wang ◽  
Jianqiu Li ◽  
Minggao Ouyang
Keyword(s):  
Motion Control ◽  
Time Delays ◽  
Network Control ◽  
Lateral Motion ◽  
Priority Assignment ◽  
Limited Bandwidth ◽  
Vehicle Networks ◽  
Adverse Influence ◽  
Point To Point ◽  
Vehicle Network

In this paper we study the lateral motion control and torque allocation for four-wheel-independent-drive electric vehicles (4WID-EVs) with combined active front steering (AFS) and direct yaw moment control (DYC) through in-vehicle networks. It is well known that the in-vehicle networks and x-by-wire technologies have considerable advantages over the traditional point-to-point communications, and bring great strengths to 4WID-EVs. However, there are also bandwidth limitations which would lead to message time delays in network communication. We propose a method on effectively utilizing the limited bandwidth resources and attenuating the adverse influence of in-vehicle network-induced time delays, based on the idea of dynamic message priority assignment according to the vehicle states and control signals. Simulation results from a high-fidelity vehicle model in CarSim® show that the proposed vehicle lateral control and torque allocation algorithm can improve the 4WID-EV lateral motion control performance, and the proposed message priority dynamic assignment algorithm can significantly reduce the adverse influence of the in-vehicle network-induced time delays.

Integrating New Visions of Education Models and CSR 2.0 Towards University Social Responsibility (USR)

2019 ◽  
pp. 1633-1655
Author(s):  
Catalina Soriana Sitnikov ◽  
Claudiu Bocean ◽  
Sorin Tudor
Keyword(s):  
Social Responsibility ◽  
Business Models ◽  
Ethical Issues ◽  
Socially Responsible ◽  
New Approach ◽  
Doing Business ◽  
Teaching Learning ◽  
Corporate Social ◽  
Education Business ◽  
New Framework

Currently, the adoption of a specific approach to business activities that highlights the strategic importance of corporate social responsibility hereafter CSR is the most important element influencing the existence and continuity of an organization. Thus, there is not a surprise that universities shall identify, in terms of own activities, the possibility to lead their orientation beyond teaching-learning process, towards the operations and institutional activities. At the same time, recent decades have experienced the failure of CSR as a way of doing business, govern or provide solutions and evaluate ethical issues and, thus, of the need to apply and implement a new approach - CSR 2.0. The transition from the current CSR, or 1.0, to CSR 2.0 requires the adoption of five new principles—creativity, scalability, responsiveness, glocality, and circularity—and embedding them within organizations management and culture. The paper will unfold towards two steps: the first, dedicated to the correlation between education (Blessinger's models and frameworks elements) with business (based on higher education business models), and the second, represented by integrating the new built model with the concepts and principles of CSR 2.0 developed by Visser. The new framework can be used to manage the context and processes of a socially responsible university as part of a world influenced by CSR 2.0 principles.

scholarly journals “GENIT” AS EFFECTIVE DESIGN OF LEARNING MEDIA

2018 ◽  
Vol 42 ◽  
pp. 00043
Author(s):  
Mardiki Supriadi
Keyword(s):  
Traditional Approach ◽  
Educational Communication ◽  
Higher Learning ◽  
Educational Goals ◽  
New Approach ◽  
Learning Content ◽  
Teaching Content ◽  
Media And Technology ◽  
The Impact ◽  
Positive Effect

There are two main approaches to using media in schools: students can learn "from" Media and technology, and they can learn "with" media and technology. The basis for The use of media and technology as a "tutor" in schools is "educational communication," that is the deliberate act of communicating content (teaching content) for students by assuming that they will learn something "from" this communication, so communication is not again free but controlled and conditioned for educational purposes. Findings on the impact of technologybased instruction in education can be concluded that technology as a tutor has a positive effect on learning, one of them is the student can complete a set of educational goals in less time than necessary in a traditional approach. However, these two approaches only make the task become easier but do not activate and facilitate them to think critical and higher learning. “Media Genit” uses a new approach as an approach that can optimize perspective-based cognitive processes, constructivism, which constitutes an environment in which the student as a designer thinks creative about content combined with real-world tasks, student learning content, enjoy the learning process, and recognize that they have created something that is valuable.

Long Short-Term Memory Neural Network-Based Attack Detection Model for In-Vehicle Network Security

2020 ◽  
Vol 4 (6) ◽  
pp. 1-4
Author(s):  
Zadid Khan ◽  
Mashrur Chowdhury ◽  
Mhafuzul Islam ◽  
Chin-Ya Huang ◽  
Mizanur Rahman
Keyword(s):  
Neural Network ◽  
Network Security ◽  
Short Term Memory ◽  
Attack Detection ◽  
Short Term ◽  
Term Memory ◽  
Detection Model ◽  
Long Short Term Memory ◽  
Vehicle Network

New Approach of Features Extraction for Numeral Recognition

2016 ◽  
Vol 30 (06) ◽  
pp. 1650014 ◽  
Author(s):  
Soukaina Benchaou ◽  
M’Barek Nasri ◽  
Ouafae El Melhaoui
Keyword(s):  
Statistical Method ◽  
Recognition Rate ◽  
Nearest Neighbors ◽  
Features Extraction ◽  
Contour Detection ◽  
Statistical Techniques ◽  
K Nearest Neighbors ◽  
New Approach ◽  
Attribute Vector ◽  
Numeral Recognition

This paper proposes a new approach of features extraction based on structural and statistical techniques for handwritten, printed and isolated numeral recognition. The structural technique is inspired from the Freeman code, it consists first of contour detection and closing it by morphological operators. After that, the Freeman code was applied by extending its directions to 24-connectivity instead of 8-connectivity. Then, this technique is combined with the statistical method profile projection to determine the attribute vector of the particular numeral. Numeral recognition is carried out in this work through k-nearest neighbors and fuzzy min-max classification. The recognition rate obtained by the proposed system is improved indicating that the numeral extracted features contain more details.

Sign in / Sign up

Export Citation Format

Share Document