I think I can do it better than anyone. I have similar code to me. plz message me with more details.
here's my cv
Career Achievements and skills
2013 2nd KITRI Best Of the Best project final 30’s completion
2013 "Indicators Of Anti-Forensics” tools Git contributors
2014 “Android APK Automatics statics analysis” tools Git contributors
2014 Korea Internet & Security Agency Public-private investigators (2014~ ing)
2014 information security consulting of Venture Company (penetration part)
Last Projects
I did Anti-APT solutions project. in that project, I managed NoSQL database that named MongoDB, and sandboxes. also network Traffic Classification using Machine Learning Algorithm(supervised learning and unsupervised learning). let me introduce my project shortly.
When users use internet through WAN, That packet will through router and switch. then we copy all of packets using tap equipment. that packets also through our sniffing server that configured promiscuous mode. that packets will saved PCAP formats. now, all of packets will parsing and judge malicious or not. that process of project is using machine learning algorithm. we crawled all of malicious code and office files. they learned it is suspicious. all of that result will saved in mongoDB. and finally our manage program will show like Wireshark that shows indicate of malicious or not.