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This article analyzes the need to autonomously regulate digital evidence in criminal process. The digital age and the technological advances represented by the Internet have led to very positive innovations, but also to the emergence of cybercrime. The Law must respond to the challenges of cybercrime by adapting criminal and procedural laws. Cybercrimes poses serious difficulties with respect to investigation and evidence, and criminal proceedings were increasingly based on digital evidence. [ABSTRACT FROM AUTHOR]

In the present work, a critical study is carried out on some evidentiary aspects from the perspective of judicial filiation processes, critically reflecting on the legal regulation dispensed and proposing, in certain cases, some proposal for reform that we consider convenient to carry out for the optimal protection of the interests at stake. [ABSTRACT FROM AUTHOR]

In the era of compliance the need for corporations to reassure the respect for procedural rules in obtaining digital evidence has grown considerably. The recent Spanish Supreme Court resolution 489/2018 seemed to solve implicitly the serious issue in terms of certainty that a previous resolution had created (Resolution 528/2014), as it ruled there was no obligation for criminal courts to obey the Constitutional Court doctrine on the no applicability of the need of previous judicial order in the corporate context. In this article, after reviewing the jurisprudence evolution on this matter, the authors propose an adequate interpretation of resolution 489/2018 in order to provide more clarity and security to legal professionals and companies. [ABSTRACT FROM AUTHOR]

• Block-DEF is proposed to solve big data and privacy challenges with a loose coupling design. • The blockchain bloat is avoided by combining a mixed blockchain structure with an O-NPBFT mechanism. • The traceability and privacy of evidence are balanced by using multi-signature schemes. A secure digital evidence system should ensure that evidence cannot be tampered with and that private information cannot be leaked. Blockchain, a distributed tamper-resistant and privacy-preserving ledger, provides a promising solution for decentralized secure digital evidence systems. However, due to the huge number of digital evidences and the contradiction between the traceability and the privacy of evidence, blockchain faces big data and privacy challenges. To solve the above issues, we propose a secure digital evidence framework using blockchain (Block-DEF) with a loose coupling structure in which the evidence and the evidence information are maintained separately. Only the evidence information is stored in the blockchain, and the evidence is stored on a trusted storage platform. To avoid blockchain bloat, a lightweight blockchain combining a mixed block structure with an optimized name-based practical byzantine fault tolerance consensus mechanism is proposed. To support the traceability and the privacy of evidence, the multi-signature technique is adopted for evidence submission and retrieval. The analytical and experimental results show that Block-DEF is a scalable framework, it guarantees the integrity and validity of evidence, and balances privacy and traceability well. [ABSTRACT FROM AUTHOR]

The number of cyber attacks is constantly increasing daily, which demands organizations to respond quickly and adequately to security incidents. Digital forensics plays an essential role in these activities. In the digital investigation process, it is necessary to identify and separate relevant digital evidence from that which is not. In this paper, we describe the construction of ordinary and fuzzy formal contexts based on digital evidence collected from event logs and the filesystem (New Technology File System). We generated four concept lattices for various subsets of attributes regarding timestamps, types of files, or event logs. The association rules and their connections with Formal Concept Analysis are explored, and several algorithms, including GUHA methods, are applied to our data. We compare, evaluate and interpret the various methods for association rules mining. Moreover, we describe the state-of-the-art of fuzzy attribute implications in Formal Concept Analysis and provide the interpretation of implications in our epoch-time attributes. Our solution provides warnings for the security analyst to manually check and inspect the suspicious records in data. Hence, the analyst can quickly find relevant records for the case and perform further analysis. [ABSTRACT FROM AUTHOR]