A Novel Approach towards Detection of Spoofed Manufacturer Identity under the Collaborative Frameworks of Mobile Computing and Product Specific QR Codes

Today’s advanced machineries have immensely contributed to an open, worldwide market for fake products which include not only electronic goods and other everyday commodities, but adulteration has pawed into highly sensitive industries which manufacture medicines, baby-food, beverages; and adulteration in medicines and beverages often turns out to be fatal. The prime force behind the growth of these fraud markets is some highly equipped packaging and printing machinery, which make it too difficult to distinguish between a genuine and an adulterated product by looking at its package. While incidents of currency forgery is very common nowadays, especially in the developing countries, the frequency of tracing adulteration in a bottle of beverage or an ampule of a life-saving drug has got a rapid, concerning momentum. The thesis aims towards detection of a fake product by one’s smart phone under a collaborative framework of mobile computing, cryptology and product specific QR codes to be used as the label on the products’ package.