Combination Of Encryption Research Articles

Sustainable electronic document security: a comprehensive framework integrating encryption, digital signature and watermarking algorithms


 
 
 
 Protecting electronic documents, especially those containing sensitive data, is a major challenge in an open web. The data security industry has long struggled to manage the security of e-books, data shows that information security issues can cause significant economic losses after three years Although cryptographic methods have been proposed as a solution in of these challenges Focusing on speed and efficiency The shortcomings of traditional encryption methods have been thoroughly examined Although a number of network management techniques assure retention privacy and integrity though, when it comes to encryption. Digital signature algorithms, although effective in detecting unauthorized changes and limiting the scope for copyright protection, do not ensure the confidentiality of shared electronic documents When addressing research gaps addressing this issue, the paper proposes a security framework for electronic documents that combines three important security mechanisms: encryption, digital signatures, and watermark algorithms Dhishu By matching their strengths, constraints are overcome. The combination of encryption and digital signatures is explored as a promising approach to protecting electronic documents, ensuring authenticity and confidentiality Importantly, the need to explore security mechanisms such as digital is highlighted emphasis on handwriting, encryption, and watermarking systems in depth.
 
 
 

Metamorphic Malware and Obfuscation: A Survey of Techniques, Variants, and Generation Kits

The competing landscape between malware authors and security analysts is an ever-changing battlefield over who can innovate over the other. While security analysts are constantly updating their signatures of known malware, malware variants are changing their signature each time they infect a new host, leading to an endless game of cat and mouse. This survey looks at providing a thorough review of obfuscation and metamorphic techniques commonly used by malware authors. The main topics covered in this work are (1) to provide an overview of string-scanning techniques used by antivirus vendors and to explore the impact malware has had from a security and monetary perspective; (2) to provide an overview of the methods of obfuscation during disassembly, as well as methods of concealment using a combination of encryption and compression; (3) to provide a comprehensive list of the datasets we have available to us in malware research, including tools to obfuscate malware samples, and to finally (4) discuss the various ways Windows APIs are categorized and vectorized to identify malicious binaries, especially in the context of identifying obfuscated malware variants. This survey provides security practitioners a better understanding of the nature and makeup of the obfuscation employed by malware. It also provides a review of what are the main barriers to reverse-engineering malware for the purposes of uncovering their complexity and purpose.

Information- and Coding-Theoretic Analysis of the RLWE/MLWE Channel

Several cryptosystems based on the Ring Learning with Errors (RLWE) problem have been proposed within the NIST post-quantum cryptography standardization process, e.g., NewHope. Furthermore, there are systems like Kyber which are based on the closely related MLWE assumption. Both previously mentioned schemes result in a non-zero decryption failure rate (DFR). The combination of encryption and decryption for these kinds of algorithms can be interpreted as data transmission over a noisy channel. To the best of our knowledge this paper is the first work that analyzes the capacity of this channel. We show how to modify the encryption schemes such that the input alphabets of the corresponding channels are increased. In particular, we present lower bounds on their capacities which show that the transmission rate can be significantly increased compared to standard proposals in the literature. Furthermore, under the common assumption of stochastically independent coefficient failures, we give lower bounds on achievable rates based on both the Gilbert-Varshamov bound and concrete code constructions using BCH codes. By means of our constructions, we can either increase the total bitrate (by a factor of 1.84 for Kyber and by factor of 7 for NewHope) while guaranteeing the same DFR or for the same bitrate, we can significantly reduce the DFR for all schemes considered in this work (e.g., for NewHope from 2−216 to 2−12769).

Design and Testing of a Computer Security Layer for the LIN Bus.

Most modern vehicles are connected to the internet via cellular networks for navigation, assistance, etc. via their onboard computer, which can also provide onboard Wi-Fi and Bluetooth services. The main in-vehicle communication buses (CAN, LIN, FlexRay) converge at the vehicle’s onboard computer and offer no computer security features to protect the communication between nodes, thus being highly vulnerable to local and remote cyberattacks which target the onboard computer and/or the vehicle’s electronic control units through the aforementioned buses. To date, several computer security proposals for CAN and FlexRay buses have been published; a formal computer security proposal for the LIN bus communications has not been presented. So, we researched possible security mechanisms suitable for this bus’s particularities, tested those mechanisms in microcontroller and PSoC hardware, and developed a prototype LIN network using PSoC nodes programmed with computer security features. This work presents a novel combination of encryption and a hash-based message authentication code (HMAC) scheme with replay attack rejection for the LIN communications. The obtained results are promising and show the feasibility of the implementation of an LIN network with real-time computer security protection.

Phishing Evolves: Analyzing the Enduring Cybercrime

ABSTRACT Phishing, the fraudulent attempt to obtain sensitive information by disguising oneself as a trustworthy entity via electronic communication, has quickly evolved beyond low-skill schemes that relied on casting “a wide net.” Spear phishing attacks target a particular high-value individual utilizing sophisticated techniques. This study aims to describe the current state of phishing, the expected technological advances and developments of the near future, and the best prevention and enforcement strategies. Data comes from interviews with approximately 60 information technology security professionals, “hackers,” and academic researchers. Routine Activity Theory provided an operational framework; while it is an imperfect fit for most crimes, it provides enough explanatory power for cyber-crimes. Interviewees mainly agreed: First, technological advances increase the proliferation of phishing attacks, but also aid in their detection. It has never been easier to conduct a simple attack, but a good attack requires more effort than ever before. Second, phishing is directly responsible financial fraud and, indirectly, as the primary attack vector for ransomware. Third, newer types of attacks utilizing technology, like deepfakes, will make the problem worse in the short-term. Fourth, prevention will come from machine learning and public education akin to WIFI security improvement via the combination of encryption and password awareness.

A Novel Method to Enhance Sustainable Systems Security in Cloud Computing Based on the Combination of Encryption and Data Mining

Due to the increasing growth of technologies and the diversity of user needs in the field of information technology, the position of cloud computing is becoming more apparent. The development of computing infrastructure in any organization requires spending a lot of money, time, and manpower, which sometimes does not fit into the operational capacity of an organization. Therefore, organizations tend to use such technologies to advance their goals. A fully open and distributed structure in cloud computing and its services makes it an attractive target for attackers. This structure includes multiple service-oriented and distributed paradigms, multiple leases, multiple domains, and multi-user autonomous management structures that are more prone to security threats and vulnerabilities. In this paper, the basic concepts of the cloud computing and its applications have been investigated regarding to the importance of security issues. The proposed algorithm improves the level of security in the cloud computing platform through data mining and decision tree algorithm. Low computational burden and client numbers independency help to effectively implement the proposed algorithm in reality.

WITHDRAWN: WITHDRAWN: Migrating data in cloud with improving data integrity

Abstract The cloud computing environment has been various feature in companies and originations, as it makes the ultimate decision to seize technologies which promote the services and cloud data with a risk factor in terms of data loss while migrating from traditional cphysical computing to proposed cloud computing. The main objective of this paper to proposed a system which used to monitor and remove the loss of data. The data which is migrated in the cloud and physical representation of the data in the server are same. This Effective proposed approach mainly focused three way signalling with handshake protocol by the combination of encryption, segmentation and migration of the original data with three way dimension.

A novel combination of information hiding and confidentiality scheme

Due to exponential technological advancement, secure transmission of multimedia content is a serious challenge. These days, securing and hiding digital information most efficiently is the focus of the digital computer world. Information confidentiality and information hiding namely steganography, are the most promising techniques that can protect digital information. In this paper, a combination of encryption and steganography is used efficiently to have a double level of security to achieve confidentiality, privacy, secrecy in addition to integrity and authentication. Firstly, encryption parameters are set by using a chaotic Lorenz system (CLS), then by using CLS encryption parameter encryption is performed on the secret image. This enciphered confidential digital medium is inserted in the cover image by using the least significant bits (LSBs) steganographic scheme. Due to the double level of security, it is hard for an eavesdropper to attack the proposed scheme. All experimental and simulation results verify the efficiency of the proposed information hiding scheme.

Design and Implementation of a Network Security Chip with Improved Compression Approach

Background: Network security is used to secure data transmission over the wireless network. Encryption of information plays a vital role in communication since it protects the sender and receiver from the hackers trying to access the information. Objectives: In recent years, protecting the information data has become a challenging task for the researchers. Hence, there is a need to improve the existing methods of secure data transmission. Method: In this paper, a new approach is proposed to implement a better security chip for secured data transmission. It is based on the combination of encryption and description as well as the compression techniques. The proposed design focuses on the reduction of delay in the circuit using the compression approach. Results: The various simulations are carried out using the Xilinx, and MATLAB software. The timing signals are observed on Xilinx and the proposed algorithm has been simulated and tested on MATLAB. Conclusion: The presented approach performed better and achieved a good compression ratio and hence the loss of information was less at the receiving end.

Lightweight privacy-Preserving data classification

Internal attacks are of a huge concern, because they are usually delicately masqueraded under harmless-looking activities, which are very difficult to detect. Machine learning techniques have been successfully applied to identify insider threats. However, they may violate user privacy since they can legally access user’s sensitive information. To preserve user privacy, encryption algorithms have been lately exploited as a powerful tool, to hide private data in a multiple-party collaboration. A combination of encryption and data mining techniques raises high computational complexity. Hence, in order to improve the system’s performance while securing both user’s private data and the classifier, we propose a new secure data analysis protocol, namely SmartClass, by adopting the garbled circuit technique to speed-up the system performance. We developed an efficient encryption step that exploits the additive homomorphism and best properties of the binary Elliptic Curve Cryptography (ECC) algorithm, while keeping the protocol highly secure. We implemented the proposed system and study its effectiveness. Experimental results show the proposed approach is very promising.

Crypto-compression scheme based on the DWT for medical image security

Ensuring the confidentiality of exchanged data is always a great concern for any communication. Also, the purpose of compression is to reduce the amount of data while preserving important information. This reduction leads to the archiving of more information on the same storage medium and minimises the transfer times via telecommunication networks. Indeed, the combination of encryption and compression guarantees both confidentiality and authentication of information. In addition, it reduces processing time and transmission on public channels and increases storage capacity. In this paper, we propose a new approach of a partial or selective encryption for medical Images based on the discrete wavelet transform (DWT) coefficients and compatible with the norm JPEG2000. The obtain results prove that, the proposed scheme provides a significant reduction of the processing time during the encryption and decryption, without tampering the high compression rate of the compression algorithm.

Crypto-compression scheme based on the DWT for medical image security

Ensuring the confidentiality of exchanged data is always a great concern for any communication. Also, the purpose of compression is to reduce the amount of data while preserving important information. This reduction leads to the archiving of more information on the same storage medium and minimises the transfer times via telecommunication networks. Indeed, the combination of encryption and compression guarantees both confidentiality and authentication of information. In addition, it reduces processing time and transmission on public channels and increases storage capacity. In this paper, we propose a new approach of a partial or selective encryption for medical Images based on the discrete wavelet transform (DWT) coefficients and compatible with the norm JPEG2000. The obtain results prove that, the proposed scheme provides a significant reduction of the processing time during the encryption and decryption, without tampering the high compression rate of the compression algorithm.

Cryfa: a secure encryption tool for genomic data.

SummaryThe ever-increasing growth of high-throughput sequencing technologies has led to a great acceleration of medical and biological research and discovery. As these platforms advance, the amount of information for diverse genomes increases at unprecedented rates. Confidentiality, integrity and authenticity of such genomic information should be ensured due to its extremely sensitive nature. In this paper, we propose Cryfa, a fast secure encryption tool for genomic data, namely in Fasta, Fastq, VCF, SAM and BAM formats, which is also capable of reducing the storage size of Fasta and Fastq files. Cryfa uses advanced encryption standard (AES) encryption combined with a shuffling mechanism, which leads to a substantial enhancement of the security against low data complexity attacks. Compared to AES Crypt, a general-purpose encryption tool, Cryfa is an industry-oriented tool, which is able to provide confidentiality, integrity and authenticity of data at four times more speed; in addition, it can reduce the file sizes to 1/3. Due to the absence of a method similar to Cryfa, we have simulated its behavior with a combination of encryption and compression tools, for comparison purpose. For instance, our tool is nine times faster than its fastest competitor in Fasta files. Also, Cryfa has a very low memory usage (only a few megabytes), which makes it feasible to run on any computer.Availability and implementationSource codes and binaries are available, under GPLv3, at https://github.com/pratas/cryfa.Supplementary information Supplementary data are available at Bioinformatics online.

Secured data aggregation in wireless sensor networks

PurposeThis study aims to provide a secured data aggregation with reduced energy consumption in WSN. Data aggregation is the process of reducing communication overhead in wireless sensor networks (WSNs). Presently, securing data aggregation is an important research issue in WSNs due to two facts: sensor nodes deployed in the sensitive and open environment are easily targeted by adversaries, and the leakage of aggregated data causes damage in the networks, and these data cannot be retrieved in a short span of time. Most of the traditional cryptographic algorithms provide security for data aggregation, but they do not reduce energy consumption.Design/methodology/approachNowadays, the homomorphic cryptosystem is used widely to provide security with low energy consumption, as the aggregation is performed on the ciphertext without decryption at the cluster head. In the present paper, the Paillier additive homomorphic cryptosystem and Boneh et al.’s aggregate signature method are used to encrypt and to verify aggregate data at the base station.FindingsThe combination of the two algorithms reduces computation time and energy consumption when compared with the state-of-the-art techniques.Practical implicationsThe secured data aggregation is useful in health-related applications, military applications, etc.Originality/valueThe new combination of encryption and signature methods provides confidentiality and integrity. In addition, it consumes less computation time and energy consumption than existing methods.

Biometric Signcryption using Hyperelliptic Curve and Cryptographically Secure Random Number

The biometric system stores physiological traits of user such as finger print, iris, palm, patterns of veins etc. Iris signcryption is the most successful way to improve the information security because iris consists of most accurate features compared to other authentication systems. In order to provide better security and less computational time lightweight cryptographic scheme called signcryption has introduced. Signcryption is a logical combination of encryption and signature. Cryptographically secure random numbers are used as private key in encryption segment and as key in generating signature of SHA-1 segment. Generally the random numbers passing the NIST Test suite fails to satisfy cryptographically secure requirements. An approach called twining technique along with AES in counter mode is used to generate cryptographically random numbers from the seed values of sensors. Twining technique is a novel method to minimize co linearity that occurs while extracting seed from multiple sensors housed in same environment. One of the most recent researches in the area of public key cryptography is Hyper Elliptic Curve Cryptography (HECC) because HECC uses smaller key size and less computational time. In the proposed biometric signcryption, biometric data, HECC and cryptographically secure random numbers are used to derive the signcrypted value of iris.

Obfuscrypt: A Novel Confidentiality Technique for Cloud Storage

In today’s IT industry, the more sophisticated data storage is cloud storage. Cloud storage mainly helps Small and Medium scale Enterprises (SMEs) to reduce their investments and maintenance of storage servers. Most of SMEs are outsourcing their data to cloud storage. Users’ data that are sent to the cloud have to be stored in the public cloud environment. Data stored in the cloud storage might mingle with other users’ data. This will lead the data protection issue in cloud storage. If the confidentiality of cloud data is broken, then it will cause loss of data to the industry. Security of cloud storage is ensured through confidentiality parameter. To ensure confidentiality, the most commonly used technique is encryption. But encryption alone doesn’t give maximum protection to the data in the cloud storage. To have efficient cloud storage confidentiality, this paper uses encryption and obfuscation as two different techniques to protect the data in the cloud storage. Based on the type of data, encryption and obfuscation can be applied. Encryption can be applied to alphabets, alphanumeric and symbols. Obfuscation can be applied to numeric type of data. Applying encryption and obfuscation techniques on the cloud data will provide more protection against unauthorized usage. Confidentiality could be achieved with a combination of encryption and obfuscation.

End-To-End Security for Video Distribution: The Combination of Encryption, Watermarking, and Video Adaptation

This article introduces the reader to the relevant techniques that are needed to implement such an end-to-end commutative security system for video distribution and presents a practical solution for encryption and watermarking compliant with H.264/Advanced Video Coding (AVC) and the upcoming High Efficiency Video Coding (HEVC) video coding standards. To minimize the overhead and visual impact, a practical tradeoff between the security of the encryption routine, robust watermarking, and transcoding possibilities is investigated. We demonstrate that our combined commutative protection system effectively scrambles video streams, achieving structural similarity index (SSIM) values below 0.2 across a range of practical bit rates, while allowing robust watermarking and transcoding.