Browsing by Author "Lima, Carlos"
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- HaaS - a platform for password cracking in distributed heterogeneous systemsPublication . Lima, Carlos; Alves, Rui; Rufino, JoséTraditional passwords and respective cryptographic hashes are still widely used for user authentication. Breaking these hashes, to recover the original passwords, may be necessary for a variety of legitimate reasons. Hashcat, a widely used password auditing tool, is able to exploit the parallel processing power of many GPUs to accelerate the breaking of cryptographic hashes. Moreover, there are already ways of performing this task in a distributed environment, though they face several challenges, including the difficulty of assembling and managing distributed deployments, and using them in a user-friendly and resource-efficient way. This work presents Hashcat-as-a-Service (HaaS), a novel platform that targets these challenges. It combines Hashcat with web technologies, containerization and remote OpenCL middleware, to allow the user-friendly management of Hashcat instances that leverage the processing power of distributed GPUs, including support of instances migration in order to maximize GPU utilization. The evaluation of HaaS in different configurations demonstrated promising results, confirming its ability to handle intensive workloads and its flexibility to adapt to different usage scenarios and resources availability, making HaaS a relevant contribution in the password recovery field.
- Meta social mediaPublication . Lima, Carlos; Santos, Leonardo Leite Meira dos; Matos, PauloThis research project aims to explore the concept of social meta-network, as a way of integrating social networks, such as Facebook, LinkedIn and others, providing an integrated perspective and transversal functionalities of added value for its users. The present approach uses graph databases, implemented using Neo4j. The nodes/vertices of the graph are used to represent people; properties on nodes are used to represent personal information of each individual; the relationships/edges represent directional relationships between individuals according to each social network; and the properties about relationships serve to maintain information about the relationship between individuals for each social network. The model created intends to be mixed solution focused on relationships by type of social network, referring details to the information existing in the native network itself. Native networks are seen as distinct dimensions in which the present solution makes it possible to relate information between these dimensions, even when there are no relationships between the networks/user in question. It also allows for a more complete perspective of each individual, integrating the professional, playful and other more specialized aspects, which leads to results that are much higher than what can be achieved by looking individually to each network - whether for problems/challenges of centrality/influence, identification and characterization of communities, identification of similarities, identification of potential relationships, among many other approaches. In practical terms, a huge asset for marketing purposes.