I am looking for very high level academic write for • The Introduction should end with paragraph outlining the overall structure of the paper and briefly explaining each section. In addition, the contributions of the paper should be clearly stated in the Introduction section before outlining the structure of the paper. • The first paragraph of the Literature Review should provide an overview of the main categories of the relevant literature related to the research topic. There is no need to restate the paper title or explain the Course Learning Outcomes in this section. • In the Literature Review section, some sentences should be moved to the Introduction section. • Please use numbering only up to Section 2.x, and avoid using Section 2.x.x. • A gap analysis should be added at the end of the Literature Review section. • The Introduction would benefit from clear paragraphing based on meaning. • You should consider breaking the Introduction into shorter paragraphs, each focusing on a single idea. • The Introduction should generally follow a clear structure: background, limitations of existing studies, research motivation, methodology, contributions, and the organization of the paper. • Rewrite the methodology Section with the updated methodology • Explain the experimental setup with secure environment and how it is working (e.g. Kali linux and tor proxy, Html extraction, Data parsing from Html pages.) • Add More statistical details of Dark web market Places • Add details about the DNMs that you extracted from and the results • Write clear objectives contribution from this project such as (Note: Add more or adjust as you see fit): o Creation of a novel and up-to-date dataset from dark net markets o Development of an automated and scalable web crawling approach o Design of a customizable crawling framework o Implementation of machine learning techniques o Provision of a strategic-level analytical report • Reason for picking these DNMs (Note: make one of the reasons that it dose not require a CPTCHA before browsing as it is one of the limitations of crawling. Another reason that these DNMs are not JavaScript based which also affect the collection of HTML pages, They are diverse as they include (Add From Dataset)) • Write the methodology based on recent development such as the extraction, the labeling, machine learning code and what it does, result and discussion and limitation. • Data set description • Apply the Machine Learning pipeline to a similar open-source dataset to demonstrate functionality and improvement. • Methodology: o Set up secure environment: Kali Linux on a VMware Workstation Pro That is totally isolated from host machine. o Extraction and data collection: Used Tor Crawl (open-source crawler) (note: write a brief description on what is it and how it is used) and customized it to read the menu items on the DNMs and how many pages and extract each page to HTML for 10 DNMs which are (Anonymous Gun Shop, Anonymous Market, Cashcow, Darknet Store, Jesus Market, Timea Market, TorStuff, Trust Store, Yoga, Zion Market). Used another script to parse the listings and download their pictures using the Tor proxy on port 9050. (Note: Then add from the dataset what has been parsed). Labeling and Machine Learning Code and result: The expert is better in writing about it. • Limitation. • Conclusion. If you mean its date: please try your best to include recent dates like 5 years ago but if an older paper is needed to make a point no problem with some. About the pages, 60 or around it if APA double spaced. However, if it is journal style like the sample you shared earlier (2 columns) then that is different. I honestly don’t know how many pages are needed. But I believe in range of 10 - 15 is pretty good.