A Technology for Detection of Advanced Persistent Threat in Networks and Systems Using a Finite Angular State Velocity Machine and Vector Mathematics

摘要: The aim of this chapter is to apply an advanced journal-published state machine engine the analysis variables that can detect presence Advanced Persistent Threat (APT) and other malware. Finite Angular State Velocity Machine (FAST-VM) model analyze large amounts information over a temporal space. ability data time key factor in detecting Threat. Experimentally, FAST-VM has analyzed 10,000,000 variable vectors around 24 ms. This demonstrates application “big data” area cyber security. Transition capability address these challenges based on previous published work with Spicule. It reduces high order changes have subtle them threat easy comprehend also predict future threats. unifies three major areas IDS (anomaly, misuse, specification) into single model. mathematical shown great computational possibilities prediction, classification, detection, but it never been mapped system’s variables. technology seeks determine how map system APT. Successful development could dramatically affect all facets computation, especially autonomous vehicles networks. will present theory then technology.