Damilola Oladimeji

dblp:328/1554 · DBLP profile ↗
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2ranked-venue papers in the field
2as first author
2since 2021 · last 2023
—ORCID · none

Domains — venue-derived; a paper can count in several

Big Data, Cloud & Distributed Data Systems · 2 (2 first)
YearPublicationVenuePosition
2023 Ethical Hacking in Digital Forensics
abstract
The continuous adoption of technology in our daily lives has created an avenue for malicious individuals to exploit, especially as we regularly interact with these devices, sharing sensitive information such as health records, financial data, and personal details. Consequently, in our technologically advanced world, it is highly probable that crimes will encompass electronic devices, necessitating digital forensics investigations to unearth vital information for resolving these cases. However, due to the advances of these devices, digital forensic analysts may need to utilize hacking skills to either get into and/or investigate these devices. For the evidence acquired to be deemed acceptable in court, these hacking skills must be ethical. Ethical hacking in the field of digital forensics has become increasingly prevalent and valuable. By using the techniques and tools employed by the attacker, investigators can collect valuable digital evidence, preserve the integrity of evidence, and provide a comprehensive analysis for legal proceedings. However, the use of ethical hacking in digital forensics also presents ethical considerations. It is crucial to adhere to legal and ethical guidelines such as the anonymization of data, defining the scope of the investigation, and obtaining formal consent as part of ethical hacking activities. In this paper, we discuss the implications of using ethical hacking tools and procedures in digital forensic investigations, along with recommendations and guidelines to preserve the privacy, transparency, intellectual property, and data integrity of the evidence. Furthermore, we introduce four scenarios to show that ethical violations can occur during digital forensic investigations when the analyst uses hacking techniques.
Damilola Oladimeji, Laura Garland, Jayanthi Ramamoorthy, Bing Zhou 0002
IEEE Big Data1
2022 Forensic Analysis of Amazon Alexa Echo Dot 4th Generation
abstract
Internet of Things devices such as Amazon Alexa have grown in popularity over the years due to the ease it gives to its’ user. As a result of the common occurrence of crimes taking place at homes, especially violent crimes there is a high possibility of the presence of an Alexa when a criminal investigation occurs; thus, forensic investigations on these devices are required to assess the evidential value to forensic examiners. This paper focused on the carrying out a forensic investigation of Amazon Alexa Echo Dot 4thgeneration on the software and the cloud level. This paper shows how forensic artifacts could be obtained from the Alexa application on an iPhone and an Android smartphone, as well as adapted and described an open source tool that can be used to collect evidence from an Amazon Alexa Echo Dot 4thgeneration at the cloud level.
Damilola Oladimeji, Bing Zhou 0002
IEEE Big Data1