scholarly journals MapReduced Based: A New Stream Cipher Technique for Data Encryption

2020 ◽  
Vol 9 (5) ◽  
pp. 763-769
Keyword(s):  
Big Data ◽  
Data Security ◽  
Stream Cipher ◽  
Data Encryption ◽  
Mathematical Operation ◽  
Total Size ◽  
Proposed Model ◽  
Xor Operation ◽  
Secure Data ◽  
Modern Era

Nowadays, data keeps increasing; this in turn makes big data one of the hot topics in the modern era of technology. The biggest challenge, however, is big data security and cryptography is one of the most secure techniques. In this proposed model, we use this technique to secure data via a proposed new stream cipher technique to process more than one block by dividing the total size of the block into two parts, and swapping them then, combine and apply XOR operation with key and make some of mathematical operation. This operation is of fifteen rounds which make it very difficult for attacks to guess the plaintext.

scholarly journals Secure Data-Encryption Strategy for Big-Data in Mobile Cloud

2019 ◽  
Vol 9 (1S) ◽  
pp. 1-4
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Data Encryption ◽  
Mobile Cloud ◽  
Timing Constraints ◽  
Privacy And Security ◽  
Secure Data ◽  
Consistent Performance ◽  
A New Technique ◽  
High Level

Now-a-days data plays a key role in Information Technology and while coming to privacy of that data it has become a considerable issue to maintain data security at high level. Large amounts of data generated through devices are considered as a major obstacle and also tough to handle in real time scenarios. To meetwith consistent performance applications at present abandon encryptions techniquesbecausethe time for the execution and the completion of encryption techniques plays a key role during processing and transmissions of data. In this paper our moto is to secure data and proposed a new technique called Dynamic Data Encryption Strategy (DDES)which selectively encrypts data and uses some algorithms which provides a perfect encryption strategy for the data packages under some timing constraints. By this method we can achieve data privacy and security for big-data in mobile cloud-computing by using an encryption strategy respective to their requirements during execution time.

scholarly journals ANALISIS PERFORMA KRIPTOGRAFI HYBRID ALGORITMA BLOWFISH DAN ALGORITMA RSA

JURTEKSI ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Sebastian Suhandinata ◽  
Reyhan Achmad Rizal ◽  
Dedy Ongky Wijaya ◽  
Prabhu Warren ◽  
Srinjiwi Srinjiwi
Keyword(s):  
Data Security ◽  
Hybrid Algorithm ◽  
Poor Performance ◽  
Data Encryption ◽  
Rsa Algorithm ◽  
Encryption And Decryption ◽  
Secure Data ◽  
Data Theft

Abstract:Computer data security relies on preventing data theft from irresponsible parties by using cryptography method. Some cryptography algorithms have good and poor performance in encrypting and decrypting data depending on the key types. Therefore the purpose of this research is to measure the performance of the hybrid algorithm, consisting a symmetric keyBlowfish algorithm and an asymmetric key RSA algorithm, in encrypting and decrypting multiple types of data such as documents, photos, audios, and videos. The result is the performance of the hybrid algorithm is almost on par with Blowfish and provides a more secure data encryption and decryption by taking advantage of RSA algorithm. The average encryption performance of hybrid algorithm is 0.85s on document, 1.06s on photo, 3.38s on audio, and 15.56s on video. While the average decryption performance of hybrid algorithm is 1.01s on document, 1.38s on photo, 4.3s on audio, and 27.56s on video.            Keywords:Hybrid cryptography, Data security, Performance, Blowfish, RSA  Abstrak:Keamanan data komputer berhubungan dengan pencegahan dari pencurian data oleh pihak yang tidak bertanggung jawab, salah satu cara pengamanan data komputer yaitu dengan teknik kriptografi. Beberapa metode kriptografi memiliki performa yang baik dan buruk tergantung dengan tipe kuncinya. Maka dari itu, tujuan dari penelitian ini adalah mengukur tingkat kecepatan kriptografi hybrid, terdiri dari algoritma simetris Blowfish dan algoritma asimetris RSA, dengan beberapa tipe data seperti dokumen, foto, audio dan video. Hasil dari penelitian ini adalah algoritma hybrid memiliki performa yang tidak jauh berbeda dari algoritma Blowfish dan membuat proses enkripsi dan dekripsi data lebih aman dengan keunggulan dari algoritma RSA. Rata-rata kecepatan enkripsi algoritma hybrid untuk dokumen 0,85 detik, gambar 1,06 detik, audio 3,38 detik, dan video 15,56 detik. Sedangkan rata-rata kecepatan dekripsi algoritma hybrid untuk dokumen 1,01 detik, gambar 1,38 detik, audio 4,3 detik, dan video 27,56 detik. Kata kunci:Kriptografihybrid, Keamanan data, Performa, Blowfish, RSA 

scholarly journals Authorization of Data In Hadoop Using Apache Sentry

2018 ◽  
Vol 7 (3.6) ◽  
pp. 234 ◽  
Author(s):  
N Sirisha ◽  
K V.D. Kiran
Keyword(s):  
Big Data ◽  
Data Security ◽  
Data Encryption ◽  
Security Model ◽  
Huge Amount ◽  
Sensitive Data ◽  
Major Drawback ◽  
Security Issues ◽  
On Demand ◽  
Increasing Trend

Big Data has become more popular, as it can provide on-demand, reliable and flexible services to users such as storage and its processing. The data security has become a major issue in the Big data. The open source HDFS software is used to store huge amount of data with high throughput and fault tolerance and Map Reduce is used for its computations and processing. However, it is a significant target in the Hadoop system, security model was not designed and became the major drawback of Hadoop software. In terms of storage, meta data security, sensitive data  and also the data security will be an serious issue in HDFS. With the importance of Hadoop in today's enterprises, there is also an increasing trend in providing a high security features in enterprises. Over recent years, only some level of security in Hadoop such as Kerberos and Transparent Data Encryption(TDE),Encryption techniques, hash techniques are shown for Hadoop. This paper, shows the efforts that are made to present Hadoop Authorization security issues using Apache Sentry in HDFS. 

scholarly journals Chaotic Stream Cipher-Based Secure Data Communications over Intelligent Transportation Network

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Zhang ◽  
Shanyu Tang ◽  
Liping Zhang ◽  
Zhao Ma ◽  
Jun Song
Keyword(s):  
Data Transmission ◽  
Stream Cipher ◽  
Intelligent Transportation ◽  
Data Encryption ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Data Communications ◽  
Secure Data ◽  
Toll Collection ◽  
Cryptographic Scheme

Intelligent transportation systems (ITS) are advanced applications in which the transportation industry is adapted to the information technology revolution. As an important development direction of ITS, the electronic toll collection (ETC) subsystem, which enables an efficient and speedy toll collection, has gained widespread popularity in the world. In an ETC system, toll transaction data are transmitted over intelligent transportation networks, which is vulnerable to eavesdropping, interfering, and tampering attacks. To address the above security problems, we proposed a chaotic stream cipher-based cryptographic scheme to realise secure data communications over wireless sensor network (WSN), which is a part of ITS. The proposed cryptographic scheme allowed ITS to achieve key negotiation and data encryption between sensor nodes in the WSN, whileas reduced computational costs and power consumption. Security analysis and experimental results showed that the proposed scheme could protect data transmission between wireless sensor nodes from being attacked, and significantly reduced the communication overhead for the whole system compared to the existing ECC_AES scheme, thus satisfying the real-time data transmission requirement of ITS.

scholarly journals Data Security with International Data Encryption Algorithm

2017 ◽  
Author(s):  
Robbi Rahim ◽  
Mesran Mesran ◽  
Andysah Putera Utama Siahaan
Keyword(s):  
Information Security ◽  
Data Security ◽  
Data Encryption ◽  
Encryption Algorithm ◽  
Cryptographic Algorithms ◽  
Secure Data ◽  
International Data

Information security is very important nowadays, how to secure data certainly requires a technique one of which is the use of cryptography, IDEA algorithm is one of cryptographic algorithms that can be used to secure the message, and in this research IDEA algorithm process is displayed gradually to facilitate the development of IDEA algorithm in various purposes

scholarly journals RAW DATA SECURITY BY USING ELGAMAL AND SHA 256 PUBLIC KEY ALGORITHM

TEKNOKOM ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
Indra Surya Permana ◽  
Taufik Hidayat ◽  
Rahutomo Mahardiko
Keyword(s):  
Data Security ◽  
Original Data ◽  
Data Encryption ◽  
Public Key ◽  
Data Delivery ◽  
Raw Data ◽  
Encrypted Data ◽  
Encrypt Data ◽  
Secure Data ◽  
Data Collections

The development of information technology has grown exponentially and various of data collections and its method has been obtained. In the era of big data, data has now become an asset that held important values, while in the implementation of data delivery, it clearly is not always safe. One of the method to secure data delivery is data encryption using Cryptography. Cryptography provides an encryption service to secure data delivery by transforming it to random values so that it can no longer be read. The goal in this study was to produce an application that could be used to encrypt data, using ElGamal's cryptography method and hash checking using the SHA256 algorithm. After encryption, to ensure the encrypted data is still the original data without any changes or manipulation by unauthorized 3rd party then done by checking the hash generated using SHA256 algorithm. The data used in this study was a sample of raw data from the ATPWTP survey (ability to pay and willing to pay) conducted by the BPS Cirebon (Central Statistics) in 2019 and the data was in the form of Excel and txt files. The encryption process resulted in a cipher larger than the plaintext and takes longer for the data encryption process than during the data cipher decryption process.

scholarly journals Perancangan Aplikasi Penyandian Pesan Teks dengan Menggunakan Algoritma Digraph Cipher

2020 ◽  
Vol 2 (1) ◽  
pp. 25-34
Author(s):  
Yhopi Suhelna
Keyword(s):  
Data Security ◽  
Data Encryption ◽  
Third Parties ◽  
Security System ◽  
Science And Art ◽  
Encryption And Decryption ◽  
Secure Data ◽  
Cryptographic Techniques

Humans interact with fellow humans using communication. Not everything that is communicated contains a message so that it can be known by many people, sometimes the communication is confidential so that only certain people can know it. The occurrence of data tapping submitted is certainly a problem if the data is confidential, therefore a data security system is needed so that the data cannot be stolen or changed by tappers or crackers. One solution to secure data is to use cryptography. Cryptography is the science and art of maintaining message security when messages are sent from one media to another without experiencing interference from third parties. Through cryptographic techniques, data can be changed into passwords that are not understood and return them back to the original, this process is called data encryption and decryption. This data security process uses the Digraph Cipher method. Some facilities in the Digraph Cipher method are the keys used in the encryption and decryption process are the same (symmetrical) and the decryption process is the opposite of the encryption process.

scholarly journals A Systematic Review of Security Mechanisms for Big Data in Health and New Alternatives for Hospitals

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Sofiane Hamrioui ◽  
Isabel de la Torre Díez ◽  
Begonya Garcia-Zapirain ◽  
Kashif Saleem ◽  
Joel J. P. C. Rodrigues
Keyword(s):  
Big Data ◽  
Computer Security ◽  
Data Security ◽  
Web Of Science ◽  
Scientific Databases ◽  
Maximum Security ◽  
Proposed Model ◽  
Secure Environment ◽  
Health Cloud ◽  
Made In

Computer security is something that brings to mind the greatest developers and companies who wish to protect their data. Major steps forward are being taken via advances made in the security of technology. The main purpose of this paper is to provide a view of different mechanisms and algorithms used to ensure big data security and to theoretically put forward an improvement in the health-based environment using a proposed model as reference. A search was conducted for information from scientific databases as Google Scholar, IEEE Xplore, Science Direct, Web of Science, and Scopus to find information related to security in big data. The search criteria used were “big data”, “health”, “cloud”, and “security”, with dates being confined to the period from 2008 to the present time. After analyzing the different solutions, two security alternatives are proposed combining different techniques analyzed in the state of the art, with a view to providing existing information on the big data over cloud with maximum security in different hospitals located in the province of Valladolid, Spain. New mechanisms and algorithms help to create a more secure environment, although it is necessary to continue developing new and better ones to make things increasingly difficult for cybercriminals.

scholarly journals A Multi-Source Big Data Security System of Power Monitoring Network Based on Adaptive Combined Public Key Algorithm

Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1718
Author(s):  
Chengzhi Jiang ◽  
Chuanfeng Huang ◽  
Qiwei Huang ◽  
Jian Shi
Keyword(s):  
Big Data ◽  
Data Security ◽  
Authentication Protocol ◽  
Public Key ◽  
Key Generation ◽  
Security Mechanism ◽  
Monitoring Networks ◽  
Power Monitoring ◽  
Proposed Model ◽  
Source Data

The multi-source data collected by the power Internet of Things (IoT) provide the data foundation for the power big data analysis. Due to the limited computational capability and large amount of data collection terminals in power IoT, the traditional security mechanism has to be adapted to such an environment. In order to ensure the security of multi-source data in the power monitoring networks, a security system for multi-source big data in power monitoring networks based on the adaptive combined public key algorithm and an identity-based public key authentication protocol is proposed. Based on elliptic curve cryptography and combined public key authentication, the mapping value of user identification information is used to combine the information in a public and private key factor matrix to obtain the corresponding user key pair. The adaptive key fragment and combination method are designed so that the keys are generated while the status of terminals and key generation service is sensed. An identification-based public key authentication protocol is proposed for the power monitoring system where the authentication process is described step by step. Experiments are established to validate the efficiency and effectiveness of the proposed system. The results show that the proposed model demonstrates satisfying performance in key update rate, key generation quantity, data authentication time, and data security. Finally, the proposed model is experimentally implemented in a substation power IoT environment where the application architecture and security mechanism are described. The security evaluation of the experimental implementation shows that the proposed model can resist a series of attacks such as counterfeiting terminal, data eavesdropping, and tampering.

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