Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Annals of Computer Science and Information Systems

2 2019

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Inference of driver behavior using correlated IoT data from the vehicle telemetry and the driver mobile phone

da Silva Daniel Alves, Sousa Torres José Alberto, Pinheiro Alexandre, de Caldas Filho Francisco L., Mendonça Fabio L. L., Praciano Bruno J. G., Oliveira Kfouri Guilherme, de Sousa Jr Rafael T.

Annals of Computer Science and Information Systems

2019

Vol. 18

487--491

The drivers' behavior in traffic is a determining factor for the rate of accidents on roads and highways. This paper presents the design an intelligent IoT system capable of inferring and warning about road traffic risks and danger zones, based on data obtained from the vehicles and their drivers mobile phones, thus helping to avoid accidents and seeking preserve the lives of the passengers. The proposed approach is to collect vehicle telemetry data and mobile phone sensors data through an IoT network and then to analyze the drivers' behavior while driving, along with data from the environment. The results of the inference serve to alert the drivers about incidents in their trajectory as well as to provide feedback on how they are driving. The proposal is validated using a developed prototype to test its data collection and inference features in a small scale experiment.

Design of a distributed HIDS for IoT backbone components

de O. Kfouri Guilherme, Gonçalves Daniel G. V., Dutra Bruno V., de Alencastro João F., de Caldas Filho Francisco L., e Martins Lucas M. C., Praciano Bruno J. G., de O. Albuquerque Robson, de Sousa Jr Rafael T.

Annals of Computer Science and Information Systems

2019

Vol. 20

81--88

Nowadays DDoS attacks using IoT devices are frequent and extensive. Given that IoT network instances are distributed and deployed over conventional Internet gear, DDoS countermeasures in IoT need to be fully distributed and coordinated all over the components that form each IoT instance. This paper presents a designed and prototyped distributed host-based intrusion detection systems (HIDS) that aims to protect the components of IoT network backbones, comprising conventional switches and routers. In our design, a set of the proposed HIDS executes conventional security verifications, like default username and password, known attacks signatures, monitoring the usage of resources, processes, ports and open connections, while also interacting with a Controller of the HIDS set to allow the coordination of intrusion detection actions relative to DDoS attacks all over the IoT instance. The designed distributed HIDS is evaluated in a controlled environment that, although being a local and isolated network, realistically represents IoT network instances.