Fully Homomorphic Encryption with AES in Cloud Computing Security

Alkady, Yasmin; Farouk, Fifi; Rizk, Rawya

doi:10.1007/978-3-319-99010-1_34

Cited by 11 publications

(5 citation statements)

References 19 publications

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“…. Homomorphic encryption uses an encryption function with addition (addition) and or multiplication (multiplication) operations on encrypted data [10].…”

Section: Homomorphic Encryptionmentioning

confidence: 99%

Load Balancing Server and Homomorphic Encryption in Internet of Things

Amrullah¹,

Dewanta

Sussi

2021

khif

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User demand for Internet of Things (IoT) services has been increasing. The growing number of user demand can lead to an escalation of server workloads and threat of critical data theft. Consequently, a system is necessary to balance the server load where the data is protected with encryption. In this study, we designed a system to share server workloads using load balancing methods. The load balancing technique uses open-source web server software. The system is equipped with data security using a homomorphic encryption algorithm from AES on the sender's side. The system embeds in an IoT telemedicine apparatus. During testing, we analyze the error requests that arrive at each server for the HTTP GET and POST methods. We also evaluate the speed of data encryption and decryption. The results showed that server load balancing reduces the number of error requests for the GET method by 97%. Meanwhile, the number of error requests for the POST method decreases by 66.75%. Observations reveal that the average homomorphic encryption speed, computation time, and decryption time are 15.66 ms, 764.18 µs, and 362.49 µs, respectively.

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“…. Homomorphic encryption uses an encryption function with addition (addition) and or multiplication (multiplication) operations on encrypted data [10].…”

Section: Homomorphic Encryptionmentioning

confidence: 99%

Load Balancing Server and Homomorphic Encryption in Internet of Things

Amrullah¹,

Dewanta

Sussi

2021

khif

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“…The basic operations that are performed during the round function are AddKey, SubBytes, ShiftRows, and MixColumns [18], [19]. Each AES operation is examined in turn, and how it is implemented homomorphically is described in [20]. The proposed P 2 FHE-AESscheme chose to shoot for an evaluation of AES.…”

Section: B Overview Of Aesmentioning

confidence: 99%

“…It derives its security from hardness of factorizing a large integer [24], which is basis of many public key cryptosystems. As shown in Figure 2, FHE over AES scheme is used to design an efficient and practically feasible FHE that uses AES symmetric algorithm [20]. It can handle arbitrary size of computations without the need of noise management and has scope of parallelization [24], [25].…”

Section: ) Inverse Elementmentioning

confidence: 99%

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Efficient Privacy-Preserving Scheme for Location Based Services in VANET System

2020

Self Cite

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A Vehicular Ad-hoc Network (VANET) is a type of Mobile Ad-hoc Network (MANET) that is used to provide communications between nearby vehicles, and between vehicles and fixed infrastructure on the roadside. VANET is not only used for road safety and driving comfort but also for infotainment. Communication messages in VANET can be used to locate and track vehicles. Tracking can be beneficial for vehicle navigation using Location Based Services (LBS). However, it can lead to threats on location privacy of vehicle users; since it can profile them and track their physical location. Therefore, to successfully deploy LBS, user's privacy is one of major challenges that must be addressed. In this paper, we propose Privacy-Preserving Fully Homomorphic Encryption over Advanced Encryption Standard (P 2 FHE-AES) scheme for LBS query. This scheme is required for location privacy protection to encourage drivers to use this service without any risk of being pursued. It is implemented using Network Simulator (NS-2), Simulation of Urban Mobility (SUMO), and Cloud simulation (CloudSim). Analysis and evaluation results demonstrate that P 2 FHE-AES scheme can preserve the privacy of the drivers' future routes in an efficient and secure way. The results prove the feasibility and efficiency of P 2 FHE-AES scheme in terms of query's response time, query accuracy, throughput and query overhead.

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“…Encryption process must be done on files before storing into the cloud. In addition, authentication in cloud is a very important step which proves that the accessing user is the real user [7][8][9]. Many authentication schemes were proposed to authenticate users in cloud, but a lot of them had some security troubles.…”

Section: Introductionmentioning

confidence: 99%

Efficient two-stage cryptography scheme for secure distributed data storage in cloud computing

Abdel-Kader¹,

El-sherif²,

Rizk³

2020

IJECE

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Cloud computing environment requires secure access for data from the cloud server, small execution time, and low time complexity. Existing traditional cryptography algorithms are not suitable for cloud storage. In this paper, an efficient two-stage cryptography scheme is proposed to access and store data into cloud safely. It comprises both user authentication and encryption processes. First, a two-factor authentication scheme one-time password is proposed. It overcomes the weaknesses in the existing authentication schemes. The proposed authentication method does not require specific extra hardware or additional processing time to identity the user. Second, the plaintext is divided into two parts which are encrypted separately using a unique key for each. This division increases the security of the proposed scheme and in addition decreases the encryption time. The keys are generated using logistic chaos model theory. Chaos equation generates different values of keys which are very sensitive to initial condition and control parameter values entered by the user. This scheme achieves high-security level by introducing different security processes with different stages. The simulation results demonstrate that the proposed scheme reduces the size of the ciphertext and both encryption and decryption times than competing schemes without adding any complexity.

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Fully Homomorphic Encryption with AES in Cloud Computing Security

Cited by 11 publications

References 19 publications

Load Balancing Server and Homomorphic Encryption in Internet of Things

Load Balancing Server and Homomorphic Encryption in Internet of Things

Efficient Privacy-Preserving Scheme for Location Based Services in VANET System

Efficient two-stage cryptography scheme for secure distributed data storage in cloud computing

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