ANTIgEN DATA an AMAGINO Technology company Immunity for Network AND COMPUTERS

Technology R&D Principles : From Human’s immunology to computer science Computational approach of anti-bodies Mathematics and Algorithms concepts

ANTIgEN DATA Approach vs Existing Traditional approach Good in theory, not in practice Computer systems are dynamic system state continuously changed Formal verification of a dynamic system is impractical Security policies flaws implementation flaws configuration flaws imperfect security Biological approach Dealing with an imperfect, uncontrolled and open environment. Similar to the environment the human body has to deal with Look at the human immune system as a model

ANTIgEN DATA : Possible architecture of computational immunity Protecting static data Self uncorrupted data Nonself any change in self Change detection algorithms Protecting active processes on a single host Self normal behavior Nonself abnormal behavior View each active process as a cell Passwords, group/file permissions as skin If anomaly is detected slow, suspend, or kill process Protecting a network of mutually trusting computers Process is a cell. Computer is an organ. Individual is a network Host-based and network security mechanisms

Core Technology Core Algorithms (Python– 3R methodology Honey-Comb Data Analysis K-means, A-priori… Singular statistical method Spiral of Archimede

Main Process Meta-Searching on External DataBases for viral definitions (Internet, Private Database) All data processed through the Honey-Comb Data analysis Process 1st Step of Core Algorithm Analysis – 3R methods for refining Data re-organization Process (algorithms K-means….) to create classification and Matrix of relevant Indexes 2nd Step of Core Algorithm Analysis. Reduction Spirale or Archimede to define relative the positions of other relevant information 3rd Step of Core Algorithm Analysis Singular Statistical Methodology before final Extraction

ANTIgEN DATA Adaptive Immunity Recognize non self Respond to a foreign invader Distinguish between invaders( potential pathogen)

R&D and Development Status Core Algorithms : Status Scripting : Status Debugging : Status Phase : Alpha-0 and 1 version : Status

Simulations and Misc Tests Based cloud simulation Standalone simulation Forensic and Pentesting simulation Stress tests (DDOS, MiM, SQL injection….) Benchmarking and charts of comparaison.

Development phases : Timeline Agile and Scrum methodology Wiki and Bugzilla (tracking bug system) Alpha-0/1 : timeline Beta-1/2/3 and RC-1 : timeline Integration to Existing products (Hardware and software)

Hardware and Software Integration Firewalls and Routers running genuine ANTIgEN DATA technology. Software for Cloud based system and end-user computers. Mobile and multi connected devices