• Journal of Advanced Navigation Technology
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• v.23 no.2
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• pp.158-165
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• 2019

The existing web page was downloaded and provided to the user every time the user requested the page. Therefore, if the same page is repeatedly requested by the user, only the download for the same resource is repeated. This is a factor that causes unnecessary consumption of data. We focus on reducing data consumption caused by unnecessary requests between users and servers, and improving content delivery speed. Therefore, in this paper, we propose a caching system and an algorithm that can reduce the data consumption while maintaining the latest cache by comparing the hash value using the hash function that can detect the change of the file requested by the user.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.4
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• pp.55-66
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• 2002

HAVAL is a dedicated hash function of the MD family which was proposed by Zheng et al.. HAVAL compresses a message of arbitrary length into a hash value of 128, 160, 192, 224, or 256 bits. HAVAL has a parameter that controls the number of passes a message block of 1024 bits is processed. A message block can be processed in 3,4, or 5 passes. When a message block is processed in three passes, we call such a case 3-pass HAVAL. So, there are three kinds of HAVAL: 3-pass HAVAL, 4-pass HAVAL, and 5-pass HAVAL. In this paper, we study the security of reduced versions of 3-pass HAVAL. We propose a method for finding the collisions for the first two passes of 3-pass HAVAL and for the last two passes of 3-pass HAVAL. This approach of reducing the number of passes is similar to the initial attacks on MD4. We represent the first two passes of 3-pass HAVAL as HAVAL-12 and the last two passes of 3-pass HAVAL as HAVAL-23.

• Journal of Internet of Things and Convergence
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• v.9 no.3
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• pp.7-12
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• 2023

One of the most important characteristics of digital forensics is integrity. Integrity means that the data has not been tampered with. If evidence is collected during digital forensic and later tampered with, it cannot be used as evidence. With analog evidence, it's easy to see if it's been tampered with, for example, by taking a picture of it. However, the data on the storage media, or digital evidence, is invisible, so it is difficult to tell if it has been tampered with. Therefore, hash values are used to prove that the evidence data has not been tampered with during the process of collecting evidence and submitting it to the court. The hash value is collected from the stored data during the evidence collection phase. However, due to the internal behavior of NAND flash memory, the physical data shape may change over time from the acquisition phase. In this paper, we study the characteristics and techniques of flash memory that can cause the physical shape of flash memory to change even if no intentional data corruption is attempted.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.500-503
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• 2008

Vehicular Ad hoc Networks have attracted extensive attentions in recent years for their promises in improving safety and enabling other value-added services. Security and privacy are two integrated issues in the deployment of vehicular networks. Privacy-preserving authentication is a key technique in addressing these two issues. We propose a hash chain based authentication protocol that preserves the user privacy. We show that the our scheme can efficiently authenticate users. Name of Our protocol is

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.6
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• pp.981-993
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• 1994

As the EDI message is the commercial electronic document having legal binding forces, it is necessary to use the method of digital signature for the message integrity and identification between trading partners. This research proposes a new digital multisignature scheme suitable for transmission to multi-destination of the EDI message. The proposed scheme is based on Fiat-Shamir signature scheme and can perform the message authentication suitable for the EDI message. It can verify the message forged by a hash function attack from intruder or intruder. It also can perform the digital signature using smaller hash value than that of Fiat-Shamir signature scheme. When the EDI message is transmitted to multi-destination, all designated receivers can perform the digital signature faster and safer.

• The KIPS Transactions:PartC
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• v.13C no.1 s.104
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• pp.113-120
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• 2006

A node of mobile IPv6 moving foreign networks needs authentication process to support right services against from security threat. AAA is a trust infrastructure that authenticates, authorizes, and accounts nodes receiving a network service. And Mobile IPv6 Working Group recommends use of AAA infrastructure to authenticate mobile nodes. Event though AAA infrastructure provides strong authentication functions, it should exchange a lot of messages to authenticate mobile nodes every movement. The exchange of lots of messages causes latency and it is interfered with realization of real-time communication. This paper proposes an authentication method of improved speed using hash value of mobile node to reduce authentication latency. Directly after movement, a mobile node applying a Proposed method uses extended existing security authentication for a while and deletes the establishment latency of new security authentication. Performance evaluation of a proposed method verifies the efficiency through the analysis of cost comparison with other methods. The conclusion of performance evaluation is that the proposed method gets more 25% performance improvement than a general method when a mobile node moves another subnet.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.5
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• pp.151-166
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• 2009

To prove the integrity of digital evidence on the investigation procedure, the data which is using the MD 5(Message Digest 5) hash-function algorithm has to be discarded, if the integrity was damaged on the investigation. Even though a proof restoration of the deleted area is essential for securing the proof regarding a main phase of a case, it was difficult to secure the decisive evidence because of the damaged evidence data due to the difference between the overall hash value and the first value. From this viewpoint, this paper proposes the novel model for the mobile forensic procedure, named as "E-Finder(Evidence Finder)", to ,solve the existing problem. The E-Finder has 5 main phases and 15 procedures. We compared E-Finder with NIST(National Institute of Standards and Technology) and Tata Elxsi Security Group. This paper thus achieved the development and standardization of the investigation methodology for the mobile forensics.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.915-932
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• 2022

According to the Personal Information Protection Act and Pseudonymization Guidelines, the mapping is processed to the hash value of the combination key generation items including Salt value when different combination applicants wish to combine. Example of combination key generation items may include personal information like name, phone number, date of birth, address, and so on. Also, due to the properties of the hash functions, when different applicants store their items in exactly the same form, the combination can proceed without any problems. However, this method is vulnerable to combination in scenarios such as address changing and renaming, which occur due to different database update times of combination applicants. Therefore, we propose a privacy preserving combination key generation scheme robust to updates of items used to generate combination key even in scenarios such as address changing and renaming, based on the thresholds through probabilistic record linkage, and it can contribute to the development of domestic Big Data and Artificial Intelligence business.

• Convergence Security Journal
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• v.22 no.4
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• pp.25-34
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• 2022

This paper proposes a secret sharing based fast node authentication technique applicable to Flying Ad-Hoc Network (FANET) that can be used to construct self-organized communication network in multi drones and drone squadrons operations. Before deployment, each node stores an exponential share, exponential secret and a portion of PUF CRP table. After being deployed in the field, in the early-stage of network formation, each node broadcasts its ID, exponential share and a hash value of PUF Response and pseudo-random number. Then each node performs a reconstruction of the exponential secret using the exponential shares transmitted from neighboring nodes. When the exponential secret is reconstructed, simultaneous authentication is completed for all nodes that have transmitted the exponential share used in the reconstruction. A node that transmits an incorrect exponential share to disturb the reconstruction of the exponential secret during the authentication process can be detected before performing the reconstruction through the verification of the hash value, and will be excluded from the reconstruction.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.27-40
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• 2023

With the increase in the spread of smart devices and the impact of COVID-19, the consumption of media contents through smart devices has significantly increased. Along with this trend, the amount of media contents viewed through OTT platforms is increasing, that makes contents recommendations on these platforms more important. Previous contents-based recommendation researches have mostly utilized metadata that describes the characteristics of the contents, with a shortage of researches that utilize the contents' own descriptive metadata. In this paper, various text data including titles and synopses that describe the contents were used to recommend similar contents. KLUE-RoBERTa-large, a Korean language model with excellent performance, was used to train the model on the text data. A dataset of over 20,000 contents metadata including titles, synopses, composite genres, directors, actors, and hash tags information was used as training data. To enter the various text features into the language model, the features were concatenated using special tokens that indicate each feature. The test set was designed to promote the relative and objective nature of the model's similarity classification ability by using the three contents comparison method and applying multiple inspections to label the test set. Genres classification and hash tag classification prediction tasks were used to fine-tune the embeddings for the contents meta text data. As a result, the hash tag classification model showed an accuracy of over 90% based on the similarity test set, which was more than 9% better than the baseline language model. Through hash tag classification training, it was found that the language model's ability to classify similar contents was improved, which demonstrated the value of using a language model for the contents-based filtering.