Issue 35 examines declining trust within ransomware ecosystems, evidential challenges arising from flash-memory behaviour, and the expanding impact of IoT devices on digital-forensics workflows. Additional features analyse IoT security standardisation for complex cyber-physical systems, propose Daubert-aligned frameworks for evidential reliability, share practitioner experiences mitigating advanced persistent threats, review Cambridge Analytica–Facebook legal controversies, and explore data hiding in slack space today.

Issue 34 assesses evidential risks posed by inconsistent forensic-tool performance, emerging investigative opportunities and challenges in drone forensics, and methods for accelerating illegal-content triage. Additional features examine automated data-carving techniques, data-destruction analysis, and distributed password cracking. Legal commentary on autonomous-vehicle intellectual property and laboratory insights into IoT device forensics highlight methodological, operational and governance considerations shaping contemporary investigative practice.

Issue 33 examines secure code-verification practices, contemporary encryption-attack methodologies, and confidentiality risks in wearable technologies. Additional features address triage solutions for managing high-risk offenders, challenges in image authentication, and evidential extraction from Android messaging applications. Legal analysis explores data-scraping jurisprudence, while laboratory research into email-timestamp artefacts highlights methodological and evidential considerations shaping modern digital-forensics practice.

Issue 32 explores security implications of brain–computer interfaces, evidential recovery challenges in private-mode browsing, and insider-threat detection using client-side cloud forensics. Additional features examine remote live-endpoint acquisition, autonomous network-defence models, novel steganographic techniques, and attacks against full-disk encryption. Articles on IMSI-catcher capabilities, legal complexities in tragic criminal cases, and audio-forensics methods illustrate diverse investigative considerations.

Issue 31 examines emerging attack vectors such as mobile low-rate DDoS, evidential opportunities in connected-vehicle forensics, and anti-forensic risks arising from GNSS spoofing. Additional features analyse data-destruction methods, machine-learning applications in cyber defence, and smart-meter security. Cloud-based insider-threat detection, Bitcoin-forensics challenges, international legal cases, and SD-card durability studies highlight evolving investigative, operational and governance considerations.