Evaluating Performance of Symmetric Encryption Algorithms

Raigoza, Jaime; Jituri, Kapil

doi:10.1109/csci.2016.0258

Cited by 16 publications

(10 citation statements)

References 2 publications

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“…The most popular symmetric encryption algorithms are the Advanced Encryption Standard (AES) and Blowfish algorithms. In [13], the authors conducted a comparative analysis of the AES and Blowfish algorithms and found that AES was faster than Blowfish by nearly 200 ms when used to encrypt or decrypt the same file. Asymmetric encryption, on the other hand, involves using two keys-a public key and a private key-to encrypt and decrypt the data.…”

Section: ) Encryption-based Solutions To Protect Cloud Databasesmentioning

confidence: 99%

“…if SC i contains range of values then Nodei.addchild('partition value') 13: end while 14: end for We are not concerned about memory consumption in our solutions because the sensitive information in every row is encoded into bits (i.e., the smallest computation unit). Based on the PT, this does not consume memory or searching time.…”

Section: Partitioning Tree (Pt)mentioning

confidence: 99%

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An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases

et al. 2021

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Recently, database users have begun to use cloud database services to outsource their databases. The reason for this is the high computation speed and the huge storage capacity that cloud owners provide at low prices. However, despite the attractiveness of the cloud computing environment to database users, privacy issues remain a cause for concern for database owners since data access is out of their control. Encryption is the only way of assuaging users' fears surrounding data privacy, but executing Structured Query Language (SQL) queries over encrypted data is a challenging task, especially if the data are encrypted by a randomized encryption algorithm. Many researchers have addressed the privacy issues by encrypting the data using deterministic, onion layer, or homomorphic encryption. Nevertheless, even with these systems, the encrypted data can still be subjected to attack. In this research, we first propose an indexing scheme to encode the original table's tuples into bit vectors (BVs) prior to the encryption. The resulting index is then used to narrow the range of retrieved encrypted records from the cloud to a small set of records that are candidates for the user's query. Based on the indexing scheme, we then design a system to execute SQL queries over the encrypted data. The data are encrypted by a single randomized encryption algorithm, namely the Advanced Encryption Standard-Cipher-Block Chaining (AES-CBC). In the proposed scheme, we store the index values (BVs) at user's side , and we extend the system to support most of relational algebra operators, such as select, join, etc. Implementation and evaluation of the proposed system reveals that it is practical and efficient at reducing both the computation and space overhead when compared with state-of-the-art systems like CryptDB.

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Section: ) Encryption-based Solutions To Protect Cloud Databasesmentioning

confidence: 99%

Section: Partitioning Tree (Pt)mentioning

confidence: 99%

An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases

et al. 2021

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“…Their experimentation was conducted on a Raspberry Pi setup. With respect to speed, the authors concluded that AES is Faster than Blowfish [18]. has better performance than the other algorithms in terms of both throughput and encryption/decryption time [19].…”

Section: Blowfish Algorithmmentioning

confidence: 99%

Performance comparison of 3DES, AES, Blowfish and RSA for Dataset Classification and Encryption in Cloud Data Storage

Commey¹,

Griffith²,

Dzisi³

2020

IJCA

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Cloud data storage are logical pools containing physical storages on multiple servers in different locations. All over the world, organizations and individuals are leveraging the storage of their confidential data to cloud data storages to reduce cost and enjoy the numerous benefits the cloud has to offer. Nonetheless, there are several security risks associated with outsourcing data to cloud data storages and the most concerning among these risks is the breach of data confidentiality. Data confidentiality is crucial in cloud data storages as the impact risk of a data breach can be catastrophic. Encryption is the best way to ensure data confidentiality and that, data is protected from unauthorized disclosure. The two most important features of encryption algorithms are the guarantee of security without any vulnerabilities (strength of encryption) and the efficiency (performance) of the algorithm. This paper presents a survey of popular encryption algorithms (Triple DES, AES, Blowfish and RSA) and their performance comparison report by simulating the selected encryption algorithms with a classification framework. Rivest-Shamir-Adleman (RSA) Encryption AlgorithmRSA was designed in 1978 by Ron Rivest, Adi Shamir, and Leonard Adleman. For key exchange, digital signatures or information block encryption, it is one of the best-recognized public-key cryptosystems. RSA uses an encryption block of variable size and a key of variable size. It is a number-theory based asymmetric (public key) cryptosystem. It generates public and private keys using two prime numbers. For encryption and decryption purposes, these two distinct keys are used. The sender encrypts the message using the public key and the receiver can decrypt it using his own private key when the message is transmitted to the receiver. Figure 1 below depicts the RSA multiple blocks process.

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“…algoritma Rijndael sangat kompetitif dengan algoritma Blowfish dilihat dari waktu proses enkripsi dan dekripsi [7]. Namun pada penelitian ini diplih algoritma Rijndael karena evaluasi performa yang dilakukan menggunakan tool Pycrypto package pada bahasa pemrograman phyton mendapatkan hasil algoritma Rijndael lebih cepat 200 sampai 300 ms dibandingkan Blowfish [16].…”

Section: Pendahuluanunclassified

“…Penelitian terkait menyebutkan panjang teks plainteks mempengaruhi terhadap waktu proses enkripsi dan dekripsi dengan kenaikan pada response time dengan adanya peningkatan pada panjang teks dengan panjang kunci setiap teks yang sama [21]. Namun, pada hasil pengujian pada gambar 16 .…”

Section: Pengujian Tingkat Keamananunclassified

Perancangan Sistem Penyedia File Sharing dengan Enkripsi URL menggunakan Algoritma Rijndael

Bhaskara¹,

Wiharta²,

Saputra³

2020

JTE

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Informasi di era digital ini berkembang sangat pesat dilihat dari pertukaran informasi yang cepat. Informasi berupa data atau teks tersebar secara luas dan dapat disebarkan secara mudah dan cepat melalui website. Umumnya sebuah website menggunakan pemrograman berbasis website dengan metode GET dimana metode GET memiliki kelemahan data sistem dapat dilihat di direktori akses. Hal ini menyebabkan data yang ada pada direktori tersebut dapat diambil oleh orang yang tidak berwenang. Berdasarkan permasalahan tersebut maka dirancang sistem penyedia file sharing dengan enkripsi URL menggunakan algortima rijndael. Sistem menyediakan layanan untuk membagikan data dan melakukan download data secara aman. Antara penyedia dan penerima data masing-masing memiliki aplikasi yakni aplikasi untuk upload dan aplikasi untuk download dan admin yang bertugas mengatur jumlah user pengguna aplikasi. Data yang ada pada URL yang dibagikan user aplikasi upload yang sudah berupa cipherteks hasil enkripsi dengan algoritma rijndael yang dibagikan hanya bisa didownload oleh user aplikasi download. Masing-masing aplikasi terdapat proses autentikasi dimana hanya user yang teregistrasi yang dapat mengakses aplikasi tersebut sesuai peran masing-masing. Penelitian yang telah dilakukan mendapatkan hasil enkripsi yang dilakukan pada aplikasi upload mengubah URL menjadi cipherteks yang hanya bisa didownload menggunakan aplikasi download sehingga kelemahan pada metode GET dapat diatasi. Kata Kunci metode GET, enkripsi, URL, algoritma rijndael, autentikasi, download, upload cipherteks

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Evaluating Performance of Symmetric Encryption Algorithms

Cited by 16 publications

References 2 publications

An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases

An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases

Performance comparison of 3DES, AES, Blowfish and RSA for Dataset Classification and Encryption in Cloud Data Storage

Perancangan Sistem Penyedia File Sharing dengan Enkripsi URL menggunakan Algoritma Rijndael

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