  Recently, the Integrated Air Defense System (IADS) has become vital for the
defense system as the military defense system is vital for national security.
Placing Integrated Air Defense System batteries among locations to protect
locations assets is a crucial problem because optimal solutions are needed for
interceptor missiles to intercept attacker missiles for maximizing protection
of assets across locations or places. In this research, the procedures of using
network algorithms along with developing several network algorithms are going
to be demonstrated to develop a model for sequential development of seven
network securing strategies of placing Surface to Air Missile (SAM) batteries
to maximize the protection of assets across locations (based on given asset
values) by generating optimal solutions through computation to destroy maximum
attacker missiles by using minimum interceptor missiles with given intercept
probability. This network securing strategies can be implemented not only for
Integrated Air Defense System (IADS) planning but also Counter Air (CA)
planning as Integrated Air Defense System (IADS) is conducted with defensive
counter air supported by attack operations in offensive counter air.
