Notes

I would use a combination of forensic analysis techniques specific to each form of evidence to critically investigate the cybersecurity breaches related to the gathered digital evidence:

a) Digital Footprints: I would utilise programmes like Volatility Framework for memory forensics to examine digital footprints left by malware and AI algorithms. From system memory dumps, this programme can assist in extracting important data including active processes, network connections, and inserted code.

b) Social Engineering Artefacts: Examining email headers and contents is a necessary step in the investigation of social engineering artefacts. Phishing emails can be examined using tools such as Email Header Analyser to find email sources, metadata, and possible patterns that hackers might exploit to create fake messages.

c) Security Camera Footage: To review security camera footage, I will need video analysis software that can spot anomalies and suspicious activity. Security camera footage can be analysed with the help of tools like Video Analysis and Content Extraction (VACE) to find instances of deepfake impersonations or manipulation.

d) System Memory Dumps: To discover malware signatures, unauthorised processes, and memory-resident threats, analysing system memory dumps requires the use of specialised tools like Volatility Framework, which can extract and analyse memory artefacts.

e) Network Traffic Data: To analyse network traffic data, network forensic tools such as Wireshark are required. These tools can capture and analyse network packets to detect anomalous traffic patterns, malicious communications, and command-and-control operations.

I can thoroughly investigate cybersecurity breaches related to the gathered digital evidence by utilising a combination of multiple forensic analysis technologies. This allows me to gain insights into the strategies and techniques used by cybercriminals in the context of smart cities.