Alien Fish Detection for Malaysia Waters Species Recognition using Convolutional Neural Network AlgorithmMohamad Faisallah Zaki1, Shahirah Mohamed Hatim1, and Nur Azmina Mohamad Zamani11Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerakBranch, Tapah Campus, 35400 Tapah Road, Malaysia Abstract: The fish population is getting less attention than other vertebrates. Alien fish is a group of fish that migratesfrom one country to another. Day by day, various local species in Malaysia waters are threatened by alien fishes suchas Cichla Ocellaris and Phractocephalus Hemioliopterus that have bigger size and appetite. This group of fishthreatens local species aggressively; eating all that fits their mouth and indirectly destroys some local species in theirhabitat. This causes negative effects such as altering existing natural surroundings and disturbing the balance of theecosystem. Ichthyology Malaysia is aware of this issue and has raised concern for the nearly extinct species but still inthe progress of research work. Therefore, the project aims to recognize foreign fish using the Convolutional NeuralNetwork algorithm and to develop prototype for the recognition of fish species detection for conservation purpose.