PPGINF PÓS-GRADUAÇÃO EM ENGENHARIA DA INFORMAÇÃO FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppginfo

Banca de DEFESA: SERGIO YUKIO SATO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : SERGIO YUKIO SATO
DATA : 02/08/2019
HORA: 10:00
LOCAL: sala 406, 4º andar, Bloco B, Campus SA da Fundação Universidade Federal do ABC, localizada na Avenida dos Estados, 5001, Santa Terezinha, Santo André, SP
TÍTULO:

Analysis of security attacks in software defined wireless sensor networks


PÁGINAS: 70
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
RESUMO:

Wireless Sensor Network (WSN) plays a significant role in the development of the Internet of Things and the adoption of the Software Defined Network (SDN) concept in WSN is seen as a solution with great potential to address the challenges of this environment. The use of these two concepts defines a new paradigm called Software Defined Wireless Sensor Network (SDWSN). In addition to these challenges that must be addressed in this new paradigm, we also have issues related to information security, which, despite the advantages of using SDN in WSN, concerns about security threats related to both WSN ans SDN. This work aims to apply SDN concept in WSN and evaluate the behavior of this network in relation to potential security attacks. In order to carry out this work, two types of security attack were selected, the "Selective Forwarding" attack and a "Flooding" type attack. To evaluate the behavior of the network, the COOJA / Contiki simulator and the IT-SDN tool were used to implement the SDN in a WSN. Simulations were performed in several scenarios, changing the position of the malicious node, the number of malicious nodes and the type of security attack. To analyze the results, we used the energy consumption, the packet delivery rate and the end-to-end delay. The results of this work indicate that each type of security attack has a different impact on the behavior of the network. The position of the malicious node and the number of malicious nodes in the network also directly influence the impact that the attack can have on the behavior of the network.


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1603840 - JOAO HENRIQUE KLEINSCHMIDT
Membro Titular - Examinador(a) Interno ao Programa - 2196309 - CARLOS ALBERTO KAMIENSKI
Membro Titular - Examinador(a) Externo à Instituição - CHRISTIANE MARIE SCHWEITZER - UNESP
Membro Suplente - Examinador(a) Interno ao Programa - 1669196 - LUIZ HENRIQUE BONANI DO NASCIMENTO
Membro Suplente - Examinador(a) Externo à Instituição - MARCEL STEFAN WAGNER - UNIP
Notícia cadastrada em: 07/07/2019 17:44
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