Data Security Techniques Research Articles

Attribute-based keyword search across encrypted cloud data with multiple authorities

Searchable Encryption (SE) is a crucial technique for cloud data security and usability (SE). When employing Ciphertext Policy Attribute-Based Encryption (CP-ABE) and the Ciphertext Policy Attribute-Based Keyword Search (CP-ABKS), encryption and access control may be done simultaneously. A single attribute authority is responsible for authenticating user certificates and delivering secret keys in current CP-ABKS systems. A single point of failure results in distributed cloud systems. To address these difficulties, we explain in this paper the MABKS system, which is designed to help cloud devices with limited computing and storage capabilities. The MABKS system has added capability for tracing and modifying malicious attribute authority. According to our detailed security investigation, the MABKS system is safe in both selective-matrix and selective-attribute models. Our trials using real-world datasets have shown the MABKS system's efficiency and usefulness.

Research on intellectual property protection, innovation, and data protection algorithm based on wireless communication network

In today's world, with the developing technologies, data protection has become an absolute requirement, many organizations are focusing on the security of the data and information. Because many unauthorized individuals can hack computer system, putting the confidential files of the organization at danger. Therefore, there is need to employ various data security techniques in order to secure information. Furthermore, to resolve the problem of high energy consumption caused by large amount of data transmission in data protection algorithm, a data protection algorithm based on wireless communication network is proposed. Furthermore, we investigated that nowadays the protection of intellectual property is become significant issue. Because intellectual property security is essential for promoting innovation. Without intellectual property protection, individuals and firms would not gain the full advantages of their creations and would devote less time to development. The communication channel and data transmission link are established. Each node calculates the residual energy when clustering and sends it to the cluster head before the link is generated. The random number of nodes is encrypted and sorted according to the order of data link. Based on the wireless communication network, the privacy data within and between clusters are fused, and the data difference of each node is calculated respectively. Each cluster head uses homomorphic transformation to realize data sharing. The data protection algorithm is designed. The node data is partitioned and encrypted and decrypted by hybrid operation. The fusion results are uploaded to the base station to complete data protection. Apart from this, in this research, we proposed various methodologies in order to secure information as much as possible including text, photography, forms, videos and many more. Experimental results show that compared with CPDA algorithm, CMT algorithm and HRCDA algorithm, the data protection algorithm designed in this paper consumes the least total energy in each round. The algorithm can protect the privacy of data, reduce the consumption of data, and extend the life cycle of the whole network.

Healthcare Data Security Using IoT Sensors Based on Random Hashing Mechanism

Providing security to the healthcare data stored in an IoT-cloud environment is one of the most challenging and demanding tasks in recent days. Because the IoT-cloud framework is constructed with an enormous number of sensors that are used to generate a massive amount of data, however, it is more susceptible to vulnerabilities and attacks, which degrades the security level of the network by performing malicious activities. Hence, Artificial Intelligence (AI) technology is the most suitable option for healthcare applications because it provides the best solution for improving the security and reliability of data. Due to this fact, various AI-based security mechanisms are implemented in the conventional works for the IoT-cloud framework. However, it faces significant problems of increased complexity in algorithm design, inefficient data handling, not being suitable for processing the unstructured data, increased cost of IoT sensors, and more time consumption. Therefore, this paper proposed an AI-based intelligent feature learning mechanism named Probabilistic Super Learning- (PSL-) Random Hashing (RH) for improving the security of healthcare data stored in IoT-cloud. Also, this paper is aimed at reducing the cost of IoT sensors by implementing the proposed learning model. Here, the training model has been maintained for detecting the attacks at the initial stage, where the properties of the reported attack are updated for learning the characteristics of attacks. In addition to that, the random key is generated based on the hash value of the data matrix, which is incorporated with the standard Elliptic Curve Cryptography (ECC) technique for data security. Then, the enhanced ECC-RH mechanism performs the data encryption and decryption processes with the generated random hash key. During performance evaluation, the results of both existing and proposed techniques are validated and compared using different performance indicators.

Text Security Using Vigenere Cipher and Hill Cipher

Data security in the system is a problem that until now has made researchers continue to develop science. cryptography as a data security technique, especially in text data through the implementation of classical cryptography. In this research, a combination of vigenere and hill cipher has been implemented. Both algorithms are algorithms that are easy to implement, but each has its drawbacks. Vigenere is easy to brute force, while hill cipher in the decryption process must use a reversible key so that not all keys are suitable for use. The combination of Vigenere and hill cipher has been implemented and tested using black box testing and the calculation of the Avalanche Effect. Tests using the Avalanche Effect resulted in an average value of 52,46%.

Implementasi Metode Kriptografi dengan Menggunakan Algoritma RC4 dan Steganografi Least Significant Bit Dalam Mengamankan Data Berbasis Android

Security is a protection or protecting something important from something unwanted or other things that are theft of data security techniques, there are several ways to provide protection, one of which is by inserting something data that you want to protect into other media, message security. secret by inserting a message into an image file or better known as steganography is a development of a cryptography, where cryptography itself is a data security technique that contains elements of data management or formulation before it becomes new data and the new data can only be read or opened. by a certain person who can know the pattern of managing the data. The security and confidentiality of a message is very important and must be maintained, the problem of data confidentiality in a company or institution is a major problem where a lot of data that is confidential is open or widespread, this is very detrimental to the company, in addition to data confidentiality The other factor is that data confidentiality is a continued asset for the company to continue to managers in other divisions which must be maintained and used by someone appointed. From these problems, a cryptographic method is needed where the algorithm used is RC4 and steganography is used using Least Significant Bit (LSB) as the method. The advantage of RC4 is that the data in the management of making cryptography is more structured and has a non-static pattern in which the creation of confidential data can be made quickly and safely, while the Least Significant Bit (LSB) method is a method of inserting binary data into an image that has a color image and in it can accommodate 6 bits for the message. The purpose of this research is to create a cryptographic application system that combines the Least Significant Bit (LSB) technique to secure an android-based data

A Hybrid Graphical Password Technique for Mobile Data Security Based on Direction

Mobile Security has exponentially increased data sensitivitydue to the users upsurge in mobile devices. People are utilizing smartphones as the substitute for desktop or laptop systems, from which they access, download, upload, modify, create, and share their files. Every data has become crucial as and when exposed to other platforms via smartphone. Therefore, all smartphones require security from malicious users. Forthcoming mobile devices will have hybrid graphical passwords as prospects for customer authentication. Users can easily interact with their devices through mixed authentication techniques on mobiles by safely entering the graphical passwords. This paper focuses on Character Set and Direction (CSD) technique developed on the android application for mobiles, which takes a character set and a unique direction as a graphical password for its input method. The significant advantage of the proposed technique is that; it is user-friendly, lightweight, has an extraordinary input/output modality, and has a custom-built mobile application prototype for the Registration and Login Phase. Developed a mobile application for Character set and Direction with four standard directions to construct a unique password scheme and investigate its security, memorability, and graphical user interface. The results are highly encouraging as this technique can be a highly secured authentication technique and high user memorability, and increased usability.

PENGUJIAN PENGEMBANGAN TERHADAP ALGORITMA VIGENERE KEY KRIPTOGRAFI

The process of digital communication through media that is already integrated with the internet requires a security system in order to prevent confidential data from being acquired by unauthorized third parties and misused by these third parties. In order not to know the confidentiality of the data, techniques and algorithms are needed that can make secret messages not understand the meaning of the secret message. One of the data security techniques is cryptography, which can scramble the arrangement of characters that humans understand into characters that are not understood by humans with various languages. This research is the development of the Vigenere Key Kriptography algorithm for the encryption and decryption process in text messages that include all the characters on the computer keyboard keys. The results of the encryption will be in the form of a.txt file which contains cipher text and the results of the decryption will be plain text that appears in the application text box and the test uses the Python programming language. This research can produce cryptographic techniques that can produce ciphertext of all characters on the computer keyboard keys and can scramble text so that it cannot be understood by human language for data security

QUANTUM PHASE SHIFT FOR ENERGY CONSERVED SECURED DATA COMMUNICATION IN MANET

A Mobile Ad-Hoc Network(MANET) is a structure-less network where the mobile nodes randomly moved in any direction within the transmission range of the network. Due to this mobility, wide range of intrusion occurs in MANET. Therefore, Intrusion Detection Systems (IDS) are significant in MANETs to identify the malicious behavior. In order to improve the secured data communication an efficient Quantum Phase Shift Energy Conserved Data Security (QPSEC-DS) technique is introduced. The Quantum Phase Shift (QPS) technique is used for ensuring the security during the data transmission from sender to receiver in MANET. Initially, the quantum based approach is used to encrypt the information using QPS at the sender through secret key distribution. The receiver side also performs the same QPS, and then the encrypted bit is received successfully. This in turns attains the secured packet transmission without any malicious node in the MANET. Based on the phase shifting, the energy conservation between the sender and receiver is measured for transmitting the data packet using QPSEC-DS technique. Also, the enhanced Dynamic Source Routing (DSR) protocol is applied in QPSEC-DS technique is implemented to improve the energy management and secured data communication between the source and destination in an efficient manner. The QPSEC-DS technique conducts the simulations work on parameters including packet delivery ratio, energy consumption, communication overhead and end to end delay.

A literature review: Security Aspects in the Implementation of Electronic Medical Records in Hospitals

Backgrounds: Electronic Medical Records have complete and integrated patient health data, and are up to date because RME combines clinical and genomic data, this poses a great risk to data disclosure The priority of privacy is data security (security) so that data will not leak to other parties. That way cyber attacks can be suppressed by increasing cybersecurity, namely conducting regular evaluation and testing of security levels.Objectives: To determine the security technique that maintains privacy of electronic medical records.Methods: This type of research uses a literature review methodResults: Data security techniques are determined from each type of health service. Data security techniques that can be applied are cryptographic methods, firewalls, access control, and other security techniques. This method has proven to be a very promising and successful technique for safeguarding the privacy and security of RMEConclusion: Patient medical records or medical records are very private and sensitive because they store all data about complaints, diagnoses, disease histories, actions, and treatments about patients, so the information contained therein must be kept confidential. As well as the hospital as a medical record manager is required to apply for patient privacy data security techniques.

PERANCANGAN APLIKASI PENYISIPAN PESAN MELALUI METODE MIXING (PARITY CODING DAN ENKRIPSI ADVANCED ENCRYPTION STANDARD/AES) PADA FILE MP3

One of the encoding techniques is steganography as a way of hiding secret messages/files on the media as a container in a certain way so that no one knows or realizes that there is a secret message/file, while in cryptographic techniques the original message you want to send (plaintext) is changed or encrypted. with a key into a meaningless random information (ciphertext), because it is random, a suspicion arises of the message sent. The advantages of Steganography and Cryptography in data security so that through this study, two data security techniques were combined using the Parity Coding method for steganography and the AES (Advanced Encryption Standard) algorithm. In this study, the carrier or cover file proposed is an mp3 file, while the secret message/file to be inserted in the carrier is in the form of various types of txt formats.

Digital Image Steganalysis: Current Methodologies and Future Challenges

With the growing use of the internet and social media, data security has become a major issue. Thus, researchers are focusing on data security techniques such as steganography and steganalysis. Steganography is the approach of concealing the existence of secret messages in digital media for secure transmission. Steganalysis techniques aim to detect the existence of concealed messages and extract them. Digital image steganography and steganalysis techniques are classified into the spatial and transform domains. In this paper, we provide a detailed survey of the state-of-the-art works that have been performed in two-dimensional and three-dimensional image steganalysis. We present the most popular datasets and explain some steganographic methods for embedding hidden data. Steganalysis is a very difficult task due to the lack of information about the characteristics of the cover media that can be exploited to detect hidden messages. Therefore, we review studies performed on image steganalysis in the spatial and transform domains using classical machine learning and deep learning approaches. Additionally, we present open challenges and discuss some directions for future research.

The Ensembled Approach of Blockchain and Encryption Technique for Data Security

The Ensembled Approach of Blockchain and Encryption Technique for Data Security

Secured Data Storage Using Deduplication in Cloud Computing Based on Elliptic Curve Cryptography

The tremendous development of cloud computing with related technologies is an unexpected one. However, centralized cloud storage faces few challenges such as latency, storage, and packet drop in the network. Cloud storage gets more attention due to its huge data storage and ensures the security of secret information. Most of the developments in cloud storage have been positive except better cost model and effectiveness, but still data leakage in security are billion-dollar questions to consumers. Traditional data security techniques are usually based on cryptographic methods, but these approaches may not be able to withstand an attack from the cloud server's interior. So, we suggest a model called multi-layer storage (MLS) based on security using elliptical curve cryptography (ECC). The suggested model focuses on the significance of cloud storage along with data protection and removing duplicates at the initial level. Based on divide and combine methodologies, the data are divided into three parts. Here, the first two portions of data are stored in the local system and fog nodes to secure the data using the encoding and decoding technique. The other part of the encrypted data is saved in the cloud. The viability of our model has been tested by research in terms of safety measures and test evaluation, and it is truly a powerful complement to existing methods in cloud storage.

Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator

In this era, many people exchange data digitally either through the internet or other communication channels. However, data sent digitally can be seen by unauthorized people. Therefore, data security is essential. One of the data security techniques is steganography. This study employs steganography based on Pixel Value Modification (PVM) method using the modulo function. This technique will be implemented to insert a text message in digital images in RGB color space. Besides, we use the Pseudo-Random Number Generator with a secret key to enhance the inserted messages’ security. To measure the performance of the proposed method, testing is carried out by comparing the stego image to cover image based on three criteria, namely imperceptibility, fidelity, and recovery. PVM method using modulo function successfully hides text that the length is less than 200 characters into 255×255-pixel color images. Imperceptibility testing is done by distributing a questionnaire to six people randomly. The results showed that all respondents answered that each test image's stego image and cover image had no difference. At the same time, the results of the fidelity test show that the MSE value is close to zero, and the PSNR value is above 40 dB. Furthermore, recovery testing will check whether the extracted message is the same as the secret message inserted in the cover image. The results showed that all messages inserted were extracted correctly for recovery criteria if given the correct secret key.

Smart card security mechanism with dynamic key

As a currently popular technology, the use of smart cards continues to increase in various fields and the rapid development of technology. Therefore, data security stored on a smart card needs to focus on avoiding misuse of data by unauthorized parties. However, it is not enough for the security mechanism to be carried out only during the communication process of sending data. Then, the mechanism for securing data on the smart card also needs to be done. In this study, a data security technique using dynamic keys is proposed by changing the key and access conditions on the smart card according to predetermined rules. Dynamic keys are a new mechanism proposed to authenticate smart cards using a different key on each card. This technique ensures that the keys used to access each smart card are different so that the risk of data duplication and modification threats can be minimized. In addition, this mechanism is a low-cost security privacy protection. The test results show that the data security technique using dynamic keys ensures that read and write access to the smart card can only be done if the keys match the rules.

Dual images in reversible data hiding with adaptive color space variation using wavelet transforms

PurposeSteganography is a data hiding technique used in the data security. while transmission of data through channel, no guarantee that the data is transmitted safely or not. Variety of data security techniques exists such as patch work, low bit rate data hiding, lossy compression etc. This paper aims to increase the security and robustness.Design/methodology/approachThis paper describes, an approach for multiple images steganography that is oriented on the combination of lifting wavelet transform (LWT) and discrete cosine transform (DCT). Here, we have one cover image and two secret images. The cover image is applied with one of the different noises like Gaussian, Salt & Pepper, Poisson, and speckle noises and converted into different color spaces of YCbCr, HSV, and Lab.FindingsDue to the vast development of Internet access and multimedia technology, it becomes very simple to hack and trace secret information. Using this steganography process in reversible data hiding (RDH) helps to prevent secret information.Originality/valueWe can divide the color space converted image into four sub-bands of images by using lifting wavelet transform. By selecting lower bands, the discrete cosine transform is computed for hiding two secret images into the cover image and again one of the transformed secret images is converted by using Arnold transform to get the encrypted/embedded/encoded image. To extract the Stego image, we can apply the revertible operation. For comparing the results, we can calculate PSNR, SSIM, and MSE values by applying the same process for all color spaces of YCbCr, HSV, and Lab. The experimental results give better performance when compared to all other spaces.

PERLINDUNGAN HUKUM BAGI KORBAN SERANGAN RANSOMWARE

<p><em>Data is an important part of the need in today's Information Technology era. The data of every human individual in the world has a high level of sensitivity for anyone. Data that is currently developing both offline and online data, requires a certain level of security in its access. Good data security techniques are needed in ensuring the confidentiality of a data including from attacks of several types of malware viruses and ransomware.</em></p><p><em>Types of malware viruses and ransomware work with the concept of damaging, stealing and locking data with various purposes, one of which is to make a profit. Ransomware works by locking certain files that are targeted and encrypted so that the data is inaccessible. In the end, if you want to access the stored data, users are required to contact the contact of the creator of the ransoware by paying a certain amount of money in decrypting the locked data. Ransomware can be categorized as cyber extortion.</em> <em>Article 27 paragraph 4 of the ITE Law provides arrangements on the dissemination of information that has extortion content whose provisions are regulated in the Criminal Code. Ransomware meets the elements of the criminal act of extortion as stipulated in the provisions of Article 368 paragraph (1) of the Criminal Code. The perpetrator commits extortion coupled with acidification by closing the victim's access to his data. The government has made legal protection efforts for victims of ransomware among others through the arrangements contained in Article 27 Paragraph (4) of the ITE Law.</em> <em>As well as the application of criminal sanctions of confinement and fines for perpetrators of ransomware crimes. Protection of cyber space users can also be done by individuals (individuals) by building regulations in cyberspace and being vigilant in using the internet. In an effort to provide legal protection for ransomware victims, cooperation is needed between the government as a lawmaker and users (victims of ransomware) cyber space. More advanced and unconventional regulations are critical in dealing with cybercrime. Because all forms of cybercrime cannot be touched by the rule of law.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: Legal Protection, Victims, Ransomware</em></p>

A Review on Data Securing Techniques using Internet of Medical Things

At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted or collected data is stored in cloud modules unlike amazon and Mhealth, making it accessible remotely. Although there are countless advantages in IoMT, the critical factor lies in data security or encryption. A surplus number of threat related to devices, connectivity, and cloud might occur under unforeseen or threatening circumstances which makes the person in the situation helpless. Yet, with the help of data security techniques designed especially for Internet of Medical Things, it is possible to address these challenges. In this paper, a review on data securing techniques for the internet of medical things is made along with a discussion on related concepts.

Data Security using Proxy Based Methods in Cloud Computing

Data security has consistently been a major issue in information technology. In the cloud computing environment, it becomes particularly serious because the data is located in different places even in all the globe. Data security and privacy protection are the two main factors of user’s concerns about the cloud technology. Though many techniques on the topics in cloud computinghave been investigated in both academics and industries, data security and privacy protection are becomingmore important for the future development of cloud computing technology in government, industry, and business. Data security and privacy protectionissues are relevant to both hardware and software in the cloud architecture. This study is to review different security techniques andchallenges from both software and hardware aspects for protecting data in the cloud and aims at enhancing the data security andprivacy protection for the trustworthy cloud environment. In this paper, we make a comparative research analysis of the existingresearch work regarding the data security and privacy protection techniques used in the cloud computing.

Risk mitigation measures during adoption of ML techniques for additive manufacturing quality control and data security

Additive manufacturing (AM) has arisen as a promising advanced manufacturing innovation. Notwithstanding, its expansive selection in industry is as yet impeded by high passage boundaries of design for additive manufacturing (DfAM), restricted materials library, different preparing deserts, and conflicting product quality. Lately, machine learning (ML) has acquired expanding consideration in AM because of its unprecedented performance in information undertakings like order, relapse and grouping. This article gives a comprehensive audit on the cutting edge of ML applications in an assortment of AM spaces. In the DfAM, ML can be utilized to yield new elite Meta materials and advanced topological designs. In AM preparing, contemporary ML calculations can assist with upgrading measure parameters, and lead examination of powder spreading and in-measure deformity observing. On the production of AM, ML can help professionals in pre-manufacturing planning, and product quality assessment and control. In addition, there has been an expanding worry about information security in AM as information penetrates could happen with the guide of ML procedures. This paper puts forth the challenges arising when machine learning techniques are used during quality control and data security in the field of additive manufacturing. Then we propose few risk mitigation strategies to counter those challenges. This paper can be a readymade guide for practitioners who are involved in AM process considering ML solutions in the process.