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

๐Ÿ“… 2023-03-13
๐Ÿ›๏ธ Journal of Electrical Electronics Engineering
๐Ÿ“ˆ Citations: 1
โœจ Influential: 0
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๐Ÿค– AI Summary
This study addresses the multi-target deployment optimization problem for surface-to-air missile (SAM) batteries within integrated air defense systems (IADS), aiming to minimize interceptor expenditure, maximize interception probability against incoming threats, and optimize protection utility for geographically distributed high-value assets. We propose the first IADS-oriented framework of seven serializable network defense strategies. A novel network deployment algorithm is designed to jointly account for asset-weighted protection and offensive-defensive coordination, integrating probabilistic interception modeling, coverage optimization under resource constraints, and a shortest-path variantโ€”yielding polynomial-time near-optimal solutions. Simulation results demonstrate a 23โ€“37% improvement in interception efficiency, a 19% reduction in interceptor consumption, and significantly enhanced joint protection capability across multiple operational domains.
๐Ÿ“ Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

Optimize SAM battery placement for asset protection
Develop network algorithms for missile interception efficiency
Maximize defense with minimal interceptor missiles
Innovation

Methods, ideas, or system contributions that make the work stand out.

Network algorithms optimize missile placement
Minimize interceptors for maximum missile destruction
Enhance IADS and Counter Air defense strategies
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National Research University Higher School of Economics
R
Rakib Hassan Pran
International Laboratory for Applied Network Research, Research Departments of NRU HSE, National Research University Higher School of Economics, Moscow, Russia