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Biradar, Shivleela, Sasi, Smitha.  2018.  Design and Implementation of Secure and Encoded Data Transmission Using Turbo Codes. 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT). :1–7.
The general idea to achieve error detection and correction is to add some extra bit to an original message, in which the receiver can use to check the flexibility of the message which has been delivered, and to recover the noisy data. Turbo code is one of the forward error correction method, which is able to achieve the channel capacity, with nearer Shannon limit, encoding and decoding of text and images are performed. Methods and the working have been explained in this paper. The error has also introduced and detection and correction of errors have been achieved. Transmission will be secure it can secure the information by the theft.
Ito, Keita, Masuda, Yoshihiro, Okamoto, Eiji.  2019.  A Chaos MIMO-Based Polar Concatenation Code for Secure Channel Coding. 2019 International Conference on Information Networking (ICOIN). :262—267.
For secure and high-quality wireless transmission, we propose a chaos multiple-input multiple-output (C-MIMO) transmission scheme, in which physical layer security and a channel coding effect with a coding rate of 1 are obtained by chaotic MIMO block modulation. In previous studies, we introduced a log-likelihood ratio (LLR) to C-MIMO to exploit LLR-based outer channel coding and turbo decoding, and obtained further coding gain. However, we only studied the concatenation of turbo code, low-density parity check (LDPC) code, and convolutional code which were relatively high-complexity or weak codes; thus, outer code having further low-complexity and strong error correction ability were expected. In particular, a transmission system with short and good code is required for control signaling, such as in 5G networks. Therefore, in this paper, we propose a polar code concatenation to C-MIMO, and introduce soft successive decoding (SCAD) and soft successive cancellation list decoding (SSCLD) as LLR-based turbo decoding for polar code. We numerically evaluate the bit error rate performance of the proposed scheme, and compare it to the conventional LDPC-concatenated transmission.
Abdulwahab, Walled Khalid, Abdulrahman Kadhim, Abdulkareem.  2018.  Comparative Study of Channel Coding Schemes for 5G. 2018 International Conference on Advanced Science and Engineering (ICOASE). :239–243.
In this paper we look into 5G requirements for channel coding and review candidate channel coding schemes for 5G. A comparative study is presented for possible channel coding candidates of 5G covering Convolutional, Turbo, Low Density Parity Check (LDPC), and Polar codes. It seems that polar code with Successive Cancellation List (SCL) decoding using small list length (such as 8) is a promising choice for short message lengths (≤128 bits) due to its error performance and relatively low complexity. Also adopting non-binary LDPC can provide good performance on the expense of increased complexity but with better spectral efficiency. Considering the implementation, polar code with decoding algorithms based on SCL required small area and low power consumption when compared to LDPC codes. For larger message lengths (≥256 bits) turbo code can provide better performance at low coding rates (\textbackslashtextless;1/2).
Brokalakis, A., Chondroulis, I., Papaefstathiou, I..  2018.  Extending the Forward Error Correction Paradigm for Multi-Hop Wireless Sensor Networks. 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). :1–5.

In typical Wireless Sensor Network (WSN) applications, the sensor nodes deployed are constrained both in computational and energy resources. For this reason, simple communication protocols are usually employed along with shortrange multi-hop topologies. In this paper, we challenge this notion and propose a structure that employs more robust (and naturally more complex) forward-error correction schemes in multi-hop extended star topologies. We demonstrate using simulation and real-world data based on popular WSN platforms that this approach can actually reduce the overall energy consumption of the nodes by significant margins (from 40 to 70%) compared to traditional WSN schemes that do not support sophisticated communication mechanisms and it is feasible to implement it economically without relying on expensive hardware.

Jeyaprabha, T. J., Sumathi, G., Nivedha, P..  2017.  Smart and secure data storage using Encrypt-interleaving. 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). :1–6.

In the recent years many companies are shifting towards cloud for expanding their business profit with least additional cost. Cloud computing is a growing technology which has emerged from the development of grid computing, virtualization and utility computing. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction. There was a huge data loss during the recent Chennai floods during Dec 2015. If these data would have been stored at distributed data centers great loss could have been prevented. Though, such natural calamities are tempting many users to shift towards the cloud storage, security threats are inhibiting them to shift towards the cloud. Many solutions have been addressed for these security issues but they do not give guaranteed security. By guaranteed security we mean confidentiality, integrity and availability. Some of the existing techniques for providing security are Cryptographic Protocols, Data Sanitization, Predicate Logic, Access Control Mechanism, Honeypots, Sandboxing, Erasure Coding, RAID(Redundant Arrays of Independent Disks), Homomorphic Encryption and Split-Key Encryption. All these techniques either cannot work alone or adds computational and time complexity. An alternate scheme of combining encryption and channel coding schemes at one-go is proposed for increasing the levels of security. Hybrid encryption scheme is proposed to be used in the interleaver block of Turbo coder for avoiding burst error. Hybrid encryption avoids sharing of secret key via the unsecured channel. This provides both security and reliability by reducing error propagation effect with small additional cost and computational overhead. Time complexity can be reduced when encryption and encoding are done as a single process.

A. Motamedi, M. Najafi, N. Erami.  2015.  "Parallel secure turbo code for security enhancement in physical layer". 2015 Signal Processing and Intelligent Systems Conference (SPIS). :179-184.

Turbo code has been one of the important subjects in coding theory since 1993. This code has low Bit Error Rate (BER) but decoding complexity and delay are big challenges. On the other hand, considering the complexity and delay of separate blocks for coding and encryption, if these processes are combined, the security and reliability of communication system are guaranteed. In this paper a secure decoding algorithm in parallel on General-Purpose Graphics Processing Units (GPGPU) is proposed. This is the first prototype of a fast and parallel Joint Channel-Security Coding (JCSC) system. Despite of encryption process, this algorithm maintains desired BER and increases decoding speed. We considered several techniques for parallelism: (1) distribute decoding load of a code word between multiple cores, (2) simultaneous decoding of several code words, (3) using protection techniques to prevent performance degradation. We also propose two kinds of optimizations to increase the decoding speed: (1) memory access improvement, (2) the use of new GPU properties such as concurrent kernel execution and advanced atomics to compensate buffering latency.

T. S. Chaware, B. K. Mishra.  2015.  "Secure communication using TPC and chaotic encryption". 2015 International Conference on Information Processing (ICIP). :615-620.

Compression, encryption, encoding and modulation at the transmitter side and reverse process at the receiver side are the major processes in any wireless communication system. All these steps were carried out separately before. But, in 1978 R. J. McEliece had proposed the concept of combining security and channel encoding techniques together. Many schemes are proposed by different researchers for this combine approach. Sharing the information securely, but at the same time maintaining acceptable bit error rate in such combine system is difficult. In this paper, a new technique for robust and secure wireless transmission of image combining Turbo Product Code (TPC) with chaotic encryption is proposed. Logistic map is used for chaotic encryption and TPC for channel encoding. Simulation results for this combined system are analyzed and it shows that TPC and chaotic combination gives secure transmission with acceptable data rate.