[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-31247":3,"doc-seo-31247":26},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"table_of_contents":22,"faqs":23,"seo_title":13,"seo_description":14,"update_tm":24,"read_time":25},31247,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Design of an Alexiou Principle Guided Large Language Model Framework for Digital Forensic Investigation","Rapid growth of digital data and advanced anti-forensic techniques increase the complexity of digital investigations, while free-form LLM reasoning can undermine legal accountability. The paper presents a web-based framework that integrates the Alexiou Principle with LLMs to produce structured, verifiable investigative reasoning. Implemented in Laravel and connected to Google’s Gemini API, the system guides investigators through four Alexiou stages and supports documentation transparency. A simulated Android scenario improves focus, reduces cognitive overload, and strengthens consistency and case planning in digital forensics.","cbCaiiSmY7acqyuv","https://ap.wps.com/l/cbCaiiSmY7acqyuv","pdf",716187,1,6,"English","# Introduction\n## Background and challenges in digital forensics\n## Role and risks of LLMs\n## Alexiou Principle and research gap\n# Related Work\n## LLM applications and limitations\n## Standards and auditable interfaces\n## Alexiou Principle and operationalization\n# Proposed Method\n## System overview and dual-phase workflow","[{\"question\":\"What problem does the paper address in digital forensic investigations?\",\"answer\":\"Digital investigations become harder due to massive data volumes, diverse devices, encryption, and anti-forensic techniques. Investigators also face cognitive strain when building coherent narratives without structured reasoning, risking missed leads or analysis paralysis.\"},{\"question\":\"How does the framework use the Alexiou Principle with LLMs?\",\"answer\":\"The framework embeds a four-stage logical process that defines the investigative question, specifies required data, determines extraction and analysis methods, and translates results into the investigative workflow. This turns LLM output into structured, reviewable reasoning.\"},{\"question\":\"What is the implementation setup and how was it evaluated?\",\"answer\":\"The system is implemented in Laravel and integrated with Google’s Gemini API. A simulated Android case study demonstrates improvements in investigator focus, reduced cognitive overload, and enhanced documentation transparency, supporting consistent and faster case planning.\"}]",1779224519,15,{"code":4,"msg":27,"data":28},"ok",{"site_id":29,"language":30,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":24},105,"en","design-of-an-alexiou-principle-guided-large-language-model-framework-for-digital-forensic-investigation","",{"@graph":34,"@context":83},[35,52,66],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,46,49],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":45},"https://docshare.wps.com/document/","Document",2,{"item":47,"name":12,"@type":41,"position":48},"https://docshare.wps.com/document/research-report/",3,{"item":50,"name":13,"@type":41,"position":51},"https://docshare.wps.com/document/design-of-an-alexiou-principle-guided-large-language-model-framework-for-digital-forensic-investigation/31247/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":39,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-05-19",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"What problem does the paper address in digital forensic investigations?","Question",{"text":73,"@type":74},"Digital investigations become harder due to massive data volumes, diverse devices, encryption, and anti-forensic techniques. Investigators also face cognitive strain when building coherent narratives without structured reasoning, risking missed leads or analysis paralysis.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"How does the framework use the Alexiou Principle with LLMs?",{"text":78,"@type":74},"The framework embeds a four-stage logical process that defines the investigative question, specifies required data, determines extraction and analysis methods, and translates results into the investigative workflow. This turns LLM output into structured, reviewable reasoning.",{"name":80,"@type":71,"acceptedAnswer":81},"What is the implementation setup and how was it evaluated?",{"text":82,"@type":74},"The system is implemented in Laravel and integrated with Google’s Gemini API. A simulated Android case study demonstrates improvements in investigator focus, reduced cognitive overload, and enhanced documentation transparency, supporting consistent and faster case planning.","https://schema.org",{"og:url":50,"og:type":85,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":87,"canonical":50},"index,follow",{"doc_id":7,"site_id":29}]