A NOVEL PACKET CLASSIFICATION TECHNIQUE FOR VOIP CANDIDATURE IN DEEP PACKET INSPECTION

Voice over Internet telephony (VoIP) is extremely pervasive today. Its cheap availability and ease of setup has made the serial harassers, criminals and even terrorists to use it for illegal activities. This makes VoIP subject to surveillance by Law Enforcement Agencies (LEAs). It has been observed that governments, in the solemn interest of national security, request companies like Skype, Google and others to hand over content of communications between suspected criminals. Seeing a business opportunity, the companies charge exorbitantly for retrieval thus costing the exchequer. Unlike any mechanisms of lawful interception which allow for an asymmetric and unsustainable monopoly, this paper proposes hidden placement of hardware network analyzers to perform deep packet inspection for  network traffic payloads and intercepting them before they reach the voice service provider by performing packet classification in constant time using a Frame Check Sequence based classification technique as opposed to existing layer-by-layer techniques for determining packets as candidates for Deep Packet Inspection