DSpace Coleção:https://hdl.handle.net/ripcmb/302512026-04-22T18:54:27Z2026-04-22T18:54:27ZA Tutorial and Security Overview on the IEEE 2030.5-2018 StandardGomes, Rafael Cavearihttps://hdl.handle.net/ripcmb/8473792026-03-03T18:32:52Z2024-01-01T00:00:00ZTítulo: A Tutorial and Security Overview on the IEEE 2030.5-2018 Standard
Autor(es): Gomes, Rafael Caveari
Descrição: The rapid growth of grid-integrated solar plants and Distributed Energy Resources (DER) has introduced advanced electrical devices into both domestic and industrial environments. In this expanding landscape, standardization is essential to ensure compatibility, security, and seamless communication among devices from various manufacturers. This paper explores the IEEE 2030.5-2018 standard, which is designed to facilitate communication between the Smart Grid and its end-users. While providing a comprehensive overview of the standard, we particularly focus on its security features, with an emphasis on the challenges associated with managing digital certificates within the IEEE 2030.5 framework. Additionally, we conduct a systematic review of the existing literature related to this standard.
Tipo: article2024-01-01T00:00:00ZInfraestruturas críticas de comunicações: uma análise sobre cabos submarinos no BrasilRodriguez Filho, Ernesto SerranoPorchéra, Pablo Moreirahttps://hdl.handle.net/ripcmb/8471442026-03-03T18:32:52Z2023-01-01T00:00:00ZTítulo: Infraestruturas críticas de comunicações: uma análise sobre cabos submarinos no Brasil
Autor(es): Rodriguez Filho, Ernesto Serrano; Porchéra, Pablo Moreira
Descrição: A rede de cabos submarinos é a principal infraestrutura crítica da era digital. Composta por
cabos de fibra ótica colocados no fundo do oceano, transmite grandes volumes de dados e
representa a espinha dorsal da economia global, com cerca de dez trilhões de dólares em
transações financeiras conduzidas diariamente. Sua estrutura faz parte de uma configuração
complexa de atores, traduzindo em elemento pouco observado na geopolítica e que coloca em
risco a segurança e a resiliência de dados, serviços de internet e comunicações em todo o
mundo, incluindo informações sensíveis ligadas à temática de Segurança, Desenvolvimento e
Defesa. A presente abordagem propõe uma análise básica da importância dos cabos, das
principais ameaças a que estão expostos e de alguns exemplos globais de governança do tema,
de forma a identificar eventuais oportunidades de melhoria quando comparados ao modelo
brasileiro em vigor.
Tipo: bachelorThesis2023-01-01T00:00:00ZPost-quantum cryptographic algorithm identification using machine learningRocha, Bruno dos Santoshttps://hdl.handle.net/ripcmb/8465952026-03-03T18:32:52Z2022-01-01T00:00:00ZTítulo: Post-quantum cryptographic algorithm identification using machine learning
Autor(es): Rocha, Bruno dos Santos
Descrição: This research presents a study on the identification of post-quantum cryptography algorithms through machine learning techniques. Plain text files were encoded by four postquantum algorithms, participating in NIST's post-quantum cryptography standardization contest, in ECB mode. The resulting cryptograms were submitted to the NIST Statistical Test Suite to enable the creation of metadata files. These files provide information for six data mining algorithms to identify the cryptographic algorithm used for encryption. Identification performance was evaluated in samples of different sizes. The successful identification of each machine learning algorithm is
higher than a probabilistic bid, with hit rates ranging between 73 and 100%.
Tipo: article2022-01-01T00:00:00ZArtificial intelligence applied to the identification of Block Ciphers under CBC ModeRocha, Bruno dos Santoshttps://hdl.handle.net/ripcmb/8465942026-03-03T18:32:52Z2023-01-01T00:00:00ZTítulo: Artificial intelligence applied to the identification of Block Ciphers under CBC Mode
Autor(es): Rocha, Bruno dos Santos
Descrição: This research introduces a novel methodology for identifying symmetric cryptosystems operating in Cipher Block Chaining (CBC) mode based solely on encrypted texts. The approach combines statistical tests from NIST STS with machine learning algorithms, analyzing DES, 3DES, Blowfish, Camellia, and AES. The experimental results demonstrate an 84% identification rate for multiclass identification using random keys and initialization vectors. These findings are valuable in the field of information security and aid in minimizing cryptanalytic efforts.
Tipo: article2023-01-01T00:00:00Z