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

Advancing Network Securing Strategies with Network Algorithms for Integrated Air Defense System (IADS) Missile Batteries