Digital forensics constitutes a taxonomy of forensics sciences in which evidence is identified, collected, preserved, analyzed, and presented for legal or investigative purposes. It serves today's law enforcement and investigative agencies concerned with cybersecurity and corporate investigations, often tracing cybercrimes, fraud detection, and data integrity (Miorandi et al., 2012).
Challenges in digital forensics include rapid strides in technology, increasing volume of digital data, complexities in law, and sophisticated anti-forensics due to evolving cyber threats. These hurdles prove detrimental to forensic investigations, hence, making extraction, analysis, and validation of evidence difficult in a legally defensible manner. New advances such as cloud computing, artificial intelligence, and blockchain present even greater obstacles for forensic practitioners as they establish new testing methodologies to counter emerging threats. Cybercriminals employ a variety of advanced evasion techniques like steganography and data obfuscation that allow them to hide tracks of their illegal digital activity from evidence recovery.
Technological Advancements
This is the continuous change being experienced by digital power, which would be difficult to a great extent to forensic investigation as cybercriminals are utilizing advanced methods to conceal themselves. Encryption is indeed crucial as far as safeguarding information is concerned; however, it also acts as the biggest impediment to forensic experts as complicated encryption algorithms would keep the vital information unreachable without these decryption keys. And anti-forensic such as data obfuscation, file wiping, and steganography increases manipulation or elimination of digital footprints in order to complicate evidence retrieval. The advent of such technologies as the Internet of Things (IoT), cloud computing, and the blockchain makes forensic investigations even more tedious. IoT devices create enormous amounts of data that are sometimes stored in a multiplicity of locations, thus causing the evidence collection and analysis process to grow ever more difficult (De Alwis et al., 2021) . Jurisdictional problems arise with cloud computing: As data may become stored on different servers worldwide, the cooperation of the legal system is needed to access them. It is evident that blockchain also ensures data integrity through decentralization but yet prevents the transaction modification or retrieval of particular transactions, thus making it more difficult for forensic analysis purposes. Given the rapid change in technology, this demands that forensic methodologies, tools, and legal frameworks be updated continuously to remain relevant in getting effective investigations and admissibility of digital evidence in a court of law.
Data Volume and Complexity
The explosive growth of digital data poses a considerable challenge for forensic investigations. With millions of emails, social media posts, cloud storage files, and IoT sensors generating petabytes of data every single day, forensic scientists have no option but to filter, process, and analyze relevant evidence very efficiently (Stoyanova et al., 2020). Big data, in general, increases the processing period, and higher analytical tools are needed for efficient investigation. Additionally, handling different data formats such as structured and unstructured data, encrypted files, multimedia files, and practically proprietary software formats complicates any forensic analysis. Compatibility and maintenance of status quo or using a forensic tool to extract meaningful insights continue to be key challenges in digital forensics investigations.
Digital evidence can refer to electronic information that has been stored and may be able to be procured for legal purposes via proceedings or while investigating an incident with possible ties to cybersecurity. Such evidence can include files, emails, logs, metadata, or any other form of digital data that is stored in electronic devices such as computers, smartphones, cloud servers, or network infrastructure (Boyens et al., 2021).
With the rise of cybercrime, data breaches, and even digital fraud, the demand for digital evidence has increased over the years. It has a very important role in both civil and criminal cases, proving criminal intent, identifying perpetrators, and ensuring justice. Digital evidence is volatile and easily alterable. As such, one has to handle digital evidence with great care in order to make it authentic and admissible in court.
Collection and preservation of digital evidence are processes important in the integrity of the evidence-in-question in terms of retaining it for forensic analysis (Dwivedi et al., 2019). Collection methods in the forensic science collection standard will reduce contamination, accidental alteration, or loss of the evidence, while methods of preservation keep the evidence unaltered through investigation and trial. Lapses in procedures of collection and preservation lead to
For forensic investigators, such problems require them to conduct operations as per a systematic and prescribed legal and technical procedure under which digital evidence converges within its credible and legally valid definition.
The assessment is divided into two main parts, focusing on both conceptual understanding and practical application of digital forensics.
This section requires students to:
This section requires students to:
Key Pointers to Be Covered
The academic mentor guided the student through a systematic and structured process to ensure full alignment with assessment objectives.
The mentor first explained the purpose and expectations of each part of the assignment, helping the student distinguish between:
The mentor assisted the student in organizing the assignment into:
This ensured readability and compliance with academic standards.
The mentor guided the student to:
For this section, the mentor focused on:
The mentor reviewed the content to ensure:
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