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This research proposes a combination of Quantum Key Distribution (QKD) based on the BB84 protocol with Improved Logistic Map (ILM) to improve data transmission security. This method integrates quantum key formation from BB84 with ILM encryption. This combination creates an additional layer of security, where by default, the operation on BB84 is only XOR-substitution, with the addition of ILM creating a permutation operation on quantum keys. Experiments are measured with several quantum measurements such as Quantum Bit Error Rate (QBER), Polarization Error Rate (PER), Quantum Fidelity (QF), Eavesdropping Detection (ED), and Entanglement-based detection (EDB), as well as classical cryptographic analysis such as Bit Error Ratio (BER), Entropy, Histogram Analysis, and Normalized Pixel Change Rate (NPCR) and Unified Average Changing Intensity (UACI). As a result, the proposed method obtained satisfactory results, especially perfect QF and BER, and EBD, which reached 0.999.

Quantum computing has emerged as a revolutionary paradigm, holding immense potential to solve complex problems that classical computing struggles to address. This study explores the application of quantum computing in cryptography, with a specific focus on two major quantum algorithms: Shor’s algorithm for large number factorization and Grover’s algorithm for unstructured database searching. The main objective of this research is to compare the performance of these quantum algorithms with classical cryptographic methods in terms of computational efficiency and time. Shor’s algorithm, which can factorize large numbers in polynomial time, presents a significant threat to the security of public-key cryptosystems such as RSA, which rely on the difficulty of factoring large numbers. On the other hand, Grover’s algorithm offers a quadratic speedup for searching unstructured databases, making it highly relevant for symmetric key cryptography systems like AES. In this study, simulations of both algorithms were conducted using quantum simulators to assess their speed and effectiveness in solving cryptographic challenges. The results demonstrate that quantum algorithms significantly reduce the computation time compared to classical methods, with Shor’s algorithm efficiently solving factorization problems and Grover’s algorithm accelerating key searching processes. However, while these quantum algorithms show promise in improving cryptographic systems, the implementation of large-scale quantum computers remains a challenge. This research highlights the potential of quantum computing to revolutionize data security and underscores the need for further development in quantum algorithms and the transition to quantum-resistant cryptographic systems to safeguard against the threat posed by quantum computers.

This research introduces an image encryption scheme combining several permutations and substitution-based chaotic techniques, such as Arnold Chaotic Map, 2D-SLMM, 2D-LICM, and 1D-MLM. The proposed method is called Half-Inverted Cascading Chaos Cipheration (HIC3), designed to increase digital image security and confidentiality. The main problem solved is the image's degree of confusion and diffusion. Extensive testing included chi-square analysis, information entropy, NCPCR, UACI, adjacent pixel correlation, key sensitivity and space analysis, NIST randomness testing, robustness testing, and visual analysis. The results show that HIC3 effectively protects digital images from various attacks and maintains their integrity. Thus, this method successfully achieves its goal of increasing security in digital image encryption

. In the development of this massive information system, all countries in the world are competing to modernize to benefit their countries, not only in the form of technology, but also into the economic field. In the economy is also known as a payment system that can be carried out by a person or a company in making transactions and so on. Transactions in the realm of companies can also be associated with the payment of salaries to employees or laborers. In paying wages to employees, of course, you can use any currency depending on the agreement by both parties, namely the company and the employees themselves. For example, payments using Bitcoin as a means of paying wages or salaries to laborers. This research uses an analytical descriptive method in the form of a literature study by discussing how the legality of Bitcoin in Indonesia as a means of payment and how to guarantee employee rights paid through Bitcoin..

Bitcoin and Altcoin are digital currencies (cryptocurrencies) that use blockchain technology, a technology that can monitor, supervise, record, and record every transaction that occurs in digital currency. Bitcoin is decentralized, meaning it is spread everywhere, not centralized and cannot be regulated by authorities or other institutions. In making transactions, it is very necessary to recognize digital currencies such as identity, core business, projects being developed, volume of demand and supply, and other indicators. The need to find out information about coins/crypto tokens before trading, is a very helpful thing for traders because of concerns about coins/tokens that are indicated as scam or rugpull. Coinmarketcap.com and coingecko are data provider sites related to bitcoin and altcoins around the world, which can help find and analyze related information about tokens/cryptocoins to be traded, but do not guarantee accuracy, but can minimize the occurrence of greater losses. Digital currencies provide business opportunities and loopholes to be able to generate profit from every coin/token traded, but on the other hand these assets are risky for traders and investors due to their high volatility which makes market price movements difficult to predict (unpredictable). To be able to overcome this problem it is necessary to manage finances by taking 10% for trading from the main salary earned, dividing which assets are needed for trading and which are for daily / other living needs and self-control well, when is it time to trade, rest, and when to pause. That way it can save other assets when the other asset is experiencing a decline, so it doesn't disturb the main asset.

Cryptography is a solution or method of information security that is good for maintaining the confidentiality and security of information, and can improve information or information security in an era of very rapid development of information technology. The rapid development of this technology, many new implications and problems arise in the delivery and communication of information, this is because everyone has easy access to the media and this affects the security of information and messages on the media. Therefore, to protect messages, we can use Caesar encryption, which is relatively easy to implement in PHP. How to apply message security in this study by designing web-based applications using the PHP and HTML programming languages. Message protection uses the Caesar encryption algorithm by changing every character of the original message into ciphertext. Characters in plain text are replaced with keys that are determined based on the number of alphabetical orders of plain text. In this way, unauthorized parties cannot read these private messages and users can interact with private messages more freely.

As a democratic country, voting is a mandatory and routine agenda for our country when choosing leaders in an organization to the state level. The paper-based voting system that has been used so far has several weaknesses such as ballot damage, vote counting errors, susceptibility to fraud, and delayed election results. To overcome these issues, a more secure and guaranteed electronic voting system is needed. The shift from conventional media to various media used for opinion polling, such as social media/internet, has occurred in this technological era. The E-Voting system has been confirmed as safe and in line with the latest technological advancements. To enhance its security level, the system can use various types of cryptographic algorithms, including AES. Cryptography can be the solution in maintaining information security such as confidentiality, data integrity, non-repudiation, and authentication

(Cryptography Advanced Encryption Standard (AES) for File Document Encryption). Advanced Encryption Standard (AES) is a cryptographic algorithms as a standard symmetric key encryption algorithm that used in current time. AES 128 has 1 blok plaintext with 128 bit sized, where in the process of cryptographic algorithms, first the plaintext is converted into hexadecimal-sized 4 x 4 matrices called the state, where each element of state has 1 byte size. The process of encryption on AES is the transformation towards the state repeatedly in the 10th round. Each round of AES requires one key result of the key generation using 2 basic transformation, i.e. substitution and transformation. AES encryption using 4 transformation by the following sequence: subbytes, shiftrows, mixcolumns, and addroundkey. On the other hand, the process of decryption is using the inverse of all the basic transformation of AES algorithm, except addroundkey. Therefore, the sequence of transformation on the decription is invshiftrows, invsubbytes, invmixcolumns, and addroundkey. In the data text, the encryption process is initiated with convertion the data text into ASCII code in hexadecimal numbers that are molded into the matrix 4 x 4 bytes. Next, do some basic transformation such as subbytes, shiftrows, mixcolumns, and addroundkey. However, when performing the transformation, the processed data on every trasformation is in the form of binary data obtained from the hexadecimal matrix. AES 128 bit cryptography have room 2128 keys which is a tremendous value and is considered secure to use to avoid the brute force attack.