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We are using our smartphone for our business as well as ours li ves. Thus, user’s privacy data and a company secret are stored at smartphone. By the way, the saved data on smartphone database can be exposed to a malicous attacker when a malicous app is installed in the smartphone or a user lose his/her smartphone because all data are stored as form of plaintext in the database. To prevent this disclosure of personal information, we need a database encryption method. However, if a database is encrypted, it causes of declining the performance. For example, when we search specific data in condition with encrypted database, we should decrypt all data stored in the da tabase or search sequentially the data we want with accompanying overhead[1].In this paper, we propose an efficient and searchable encryptio n method using variable length bloom filter under limited resource circumstances(e.g., a smartphone). We compare with exi sting searchable symmetric encryption. Also, we implemented the proposed method in android smartphone and evaluated the per formance the proposed method. As a result through the implementation, We can confirm that our method has over a 50% i mprovement in the search speed compared to the simple search method about encrypted database and has over a 70% space saving compared to the method of fixed length bloom filter with the same false positive rate.Keywords: Searchable Encryption, Bloom filter, Smartphone

An Efficient-keyword-searching Technique over Encrypted data on Smartphone Database