Data compression is an important part of information security because compressed data is more secure and easy to handle. Effective data compression technology creates efficient, secure, and easy-to-connect data. There are two types of compression algorithm techniques, lossy and lossless. These technologies can be used in any data format such as text, audio, video, or image file. The main objective of this study was to reduce the physical space on the various storage media and reduce the time of sending data over the Internet with a complete guarantee of encrypting this data and hiding it from intruders. Two techniques are implemented, with data loss (Lossy) and without data loss (Lossless). In the proposed paper a hybrid data compression algorithm increases the input data to be encrypted by RSA (Rivest–Shamir–Adleman) cryptography method to enhance the security level and it can be used in executing lossy and lossless compacting Steganography methods. This technique can be used to decrease the amount of every transmitted data aiding fast transmission while using slow internet or take a small space on different storage media. The plain text is compressed by the Huffman coding algorithm, and also the cover image is compressed by Discrete wavelet transform DWT based that compacts the cover image through lossy compression in order to reduce the cover image’s dimensions. The least significant bit LSB will then be used to implant the encrypted data in the compacted cover image. We evaluated that system on criteria such as percentage Savings percentage, Compression Time, Compression Ratio, Bits per pixel, Mean Squared Error, Peak Signal to Noise Ratio, Structural Similarity Index, and Compression Speed. This system shows a high-level performance and system methodology compared to other systems that use the same methodology.

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Hiding Data Using Efficient Combination of RSA Cryptography, and Compression Steganography Techniques

This book covers the essential elements of parallel processing and parallel algorithms. It is unique in that it is a self-contained book. It covers everything fundamental to parallel processing from computer architecture to parallel programming and parallel algorithms. It is designed to function as a text for an undergraduate course in parallel processing, but also works well as a comprehensive reference for professionals interested in all phases of parallel processing and parallel programming.

Parallel processing and parallel algorithms: theory and computation

Information-Centric Networking (ICN) specifically Name Data Networking (NDN) is the name-base (content-base) networking and takes named-contents as "first class citizen", being considered as the ideal candidate to form the Future Internet basis. NDN striking features like named-data self-secured contents, name-base-forwarding, in-network caching and mobility support suits the Internet of Things (IoT) environment, which aims to enable communication among smart devices and to combine all Internet-based smart applications under the one roof. With these aims, IoT put many research challenges regarding its network architecture as it should support heterogeneous devices and offer scalability. IoT may depend on the names and addresses of billions of the devices and should smartly manage the bulk of data produced every second. IoT application smart campus has gained a lot of attention in both industry and academia due to many reasons. Therefore, to design NDN for IoT, a sophisticated naming scheme is needed to explore and it is the main motivation for this work. In this paper, we study NDN-IoT smart campus (in terms of connected devices and contents) and find that it lacks in a reasonable naming and addressing mechanism; and thus we propose NDN based Hybrid Naming Scheme (NDN-HNS) for IoT based Smart Campus (IoTSC).

Towards Information-Centric Networking (ICN) Naming for Internet of Things (IoT):The Case of Smart Campus

Lattice-based cryptography is a highly potential candidate that protects against the threats of quantum attack. At Usenix Security 2016, Alkim, Ducas, Popplemann, and Schwabe proposed a post-quantum key exchange scheme called NewHope, based on a variant of lattice problem, the ring-learning-with-errors (RLWE) problem. In this work, we propose a high performance hardware architecture for NewHope. Our implementation requires 6,680 slices, 9,412 FFs, 18,756 LUTs, 8 DSPs and 14 BRAMs on Xilinx Zynq-7000 equipped with 28mm Artix-7 7020 FPGA. In our hardware design of NewHope key exchange, the three phases of key exchange costs 51.9, 78.6 and 21.1 μs, respectively. It achieves more than 4.8 times better in terms of area-time product compared to previous results of hardware implementation of NewHope-Simple from Oder and Guneysu at Latin-crypt 2017.

High Performance Post-Quantum Key Exchange on FPGAs

This paper reports a constant-time CPU and GPU software implementation of the RSA exponentiation by using algorithms that offer a first-line defense against timing and cache attacks. In the case of GPU platforms the modular arithmetic layer was implemented using the Residue Number System (RNS) representation. We also present a CPU implementation of an RNS-based arithmetic that takes advantage of the parallelism provided by the Advanced Vector Extensions 2 (AVX2) instructions. Moreover, we carefully analyze the performance of two popular RNS modular reduction algorithms when implemented on many- and multi-core platforms. In the case of CPU platforms we also report that a combination of the schoolbook and Karatsuba algorithms for integer multiplication along with Montgomery reduction, yields our fastest modular multiplication procedure. In comparison with previous literature, our software library achieves faster timings for the computation of the RSA exponentiation using 1024-, 2048- and 3072-bit private keys.

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Implementation of RSA Signatures on GPU and CPU Architectures

The employment of cognitive radio (CR) is critical to the successful development of wireless communications. In this field, especially when using the multiple input multiple output (MIMO) antenna technology, energy consumption is critical. If the principal user (PU) is present, developers can utilize the energy detecting approach to tell. The researchers employed two distinct phases to conduct their research: the intense and accurate sensing stages. After the furious sensing step was completed, the PU user was identified as having a maximum or minimal energy channel. There are two situations in which the proposed algorithm's performance is tested: channels for fading AWGN and Rayleigh. When the proposed methods' simulation results are compared with conventional approaches, the complexity of MIMO was reduced by roughly 42% at low SNR levels. With 70 samples and an acceptable drop in detection performance, the results were suitable for further testing.

Improvement of energy consumption in MIMO with cognitive radio networks

In addition to their various advantages, computers and cell phones have grown in prominence in society due to their rising usage. There are now advanced smartphones for both youngsters and adults. Where this paper provides a service to individuals in general and the family in particular, as there is no fear for children when they go out with their families. When they are lost in a public place, the application will find their place and send them a message of reassurance so that they do not panic. This application also aims to know the person's location, determine his location and send notifications or messages to the other person. It contains privacy, where each user is registered in the application and the data that is entered, is saved and monitored, tracked, and located. The backend system manages the interaction between these accounts. The main feature is that user data and location tracking can be accessed worldwide on any system. The mobile application platform that works with both Android and IOS systems, this application has multitasked and it's useful for people who are lost or in a dangerous situation.

Heba Fadhil

Papers

Improvement of energy consumption in MIMO with cognitive radio networks

Mobile Application to Locate and Track Person's Whereabouts and Send SOS Messages