• The KIPS Transactions:PartC
• /
• v.16C no.2
• /
• pp.257-266
• /
• 2009

Now a days, as increased the use of mobile units like a laptop computer and PDA, the demand for high speed internet service is increasing. On the other hand, PKMv2 which is provided from IEEE 802.16e cannot support fully on the security of high speed internet service. This paper proposes light-weight mutual authentication protocol which solved security problem of PKMv2 related to integrity of mobile node for transmission of safe high speed data of mobile node operating in mobile WiMAX environment. Proposed mutual authentication protocol increases the efficiency as the user in network can move in network safely without additional procedure of authentication between subscriber and base station after user's initial authentication. Also, the proposed mutual authentication protocol is safe from the security attack (the man-in-the-middle attack and reply attack) between subscriber and base station by generating a key adopt to PRF() function using random number and secret value in order to secure certification.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.9-17
• /
• 2019

As the IoT environment becomes more popular, the safety of the M2M environment, which establishes the communication environment between objects and objects without human intervention, becomes important. Due to the nature of the wireless communication environment, there is a possibility of exposure to security threats in various aspects such as data exposure, falsification, tampering, deletion and privacy, and secure communication security technology is considered as an important requirement. In this paper, we propose a new method for group key generation and exchange using trap hash collision hash in existing 'M2M communication environment' using hash collision, And a mechanism for confirming the authentication of the device and the gateway after the group key is generated. The proposed method has attack resistance such as spoofing attack, meson attack, and retransmission attack in the group communication section by using the specificity of the collision message and collision hash, and is a technique for proving safety against vulnerability of hash collision.

• Journal of Internet Computing and Services
• /
• v.23 no.4
• /
• pp.1-9
• /
• 2022

Recently, the functions of smart speakers have diversified, and the penetration rate of smart speakers is increasing. As it becomes more widespread, various techniques have been proposed to cause anomalous behavior against smart speakers. Dolphin Attack, which causes anomalous behavior against the Voice Controllable System (VCS) during various attacks, is a representative method. With this method, a third party controls VCS using ultrasonic band (f>20kHz) without the user's recognition. However, since the method uses the ultrasonic band, it is necessary to install an ultrasonic speaker or an ultrasonic dedicated device which is capable of outputting an ultrasonic signal. In this paper, a smart speaker is controlled by generating an audio signal modulated at a frequency (18 to 20) which is difficult for a person to hear although it is in the human audible frequency band without installing an additional device, that is, an ultrasonic device. As a result with the method proposed in this paper, while humans could not recognize voice commands even in the audible band, it was possible to control the smart speaker with a probability of 82 to 96%.

• Journal of Internet Computing and Services
• /
• v.25 no.2
• /
• pp.1-9
• /
• 2024

Although federated learning is designed to be safer than centralized methods in terms of security and privacy, it still has many vulnerabilities. An attacker performing an adversarial attack intentionally manipulates the deep learning model by injecting carefully crafted input data, that is, adversarial examples, into the client's training data to induce misclassification. A common defense strategy against this is so-called adversarial training, which involves preemptively learning the characteristics of adversarial examples into the model. Existing research assumes a scenario where all clients are under adversarial attack, but considering the number of clients in federated learning is very large, this is far from reality. In this paper, we experimentally examine aspects of adversarial training in a scenario where some of the clients are under attack. Through experiments, we found that there is a trade-off relationship in which the classification accuracy for normal samples decreases as the classification accuracy for adversarial examples increases. In order to effectively utilize this trade-off relationship, we present a method to perform adversarial training by adaptively selecting a loss function depending on whether the client is attacked.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.17-28
• /
• 2024

As listed as one of the most important requirements for Post-Quantum Cryptography standardization process by National Institute of Standards and Technology, the resistance to various side-channel attacks is considered very critical in deploying cryptosystems in practice. In fact, cryptosystems can easily be broken by side-channel attacks, even though they are considered to be secure in the mathematical point of view. The timing attack(TA) and the simple power analysis attack(SPA) are such side-channel attack methods which can reveal sensitive information by analyzing the timing behavior or the power consumption pattern of cryptographic operations. Thus, appropriate measures against such attacks must carefully be considered in the early stage of cryptosystem's implementation process. The Montgomery multiplier is a commonly used and classical gadget in implementing big-number-based cryptosystems including RSA and ECC. And, as recently proposed as an alternative of building blocks for implementing post quantum cryptography such as lattice-based cryptography, the big-number multiplier including the Montgomery multiplier still plays a role in modern cryptography. However, in spite of its effectiveness and wide-adoption, the multiplier is known to be vulnerable to TA and SPA. And this paper proposes a new countermeasure for the Montgomery multiplier against TA and SPA. Briefly speaking, the new measure first represents a multiplication operand without 0 digits, so the resulting multiplication operation behaves in a very regular manner. Also, the new algorithm removes the extra final reduction (which is intrinsic to the modular multiplication) to make the resulting multiplier more timing-independent. Consequently, the resulting multiplier operates in constant time so that it totally removes any TA and SPA vulnerabilities. Since the proposed method can process multi bits at a time, implementers can also trade-off the performance with the resource usage to get desirable implementation characteristics.

• Journal of information and communication convergence engineering
• /
• v.6 no.3
• /
• pp.239-244
• /
• 2008

Cargo tracking issue on train transportation is challenging area because of long distance haulage, theft, terror attack and customer service. This paper aims at evaluating various cargo tracking systems in terms of cost and technology. The contents of this paper consist of the research trend of cargo tracking system in the railroad transportation and reviewing of technical alternatives in cost and service side. GNSS and RFID are reviewed as location tracking technology, Internet and Satellite technology like INMASAT and Low Earth Orbit are also reviewed as communication infrastructure. This paper selects cost and service factors in two alternatives of GNSS-Satellite and RFID-Internet, among GNSS-Internet, GNSS, Satellite, RFID-Internet, RFID-Satellite and evaluate each alternative in terms of cost and service. In a result, in terms of cost, RFID-Internet type is superior to GNSS-Satellite type, but in service GNSS-Satellite type is preferred to RFID-Internet in point of area coverage and service coverage.

• Korean Journal of Health Education and Promotion
• /
• v.24 no.1
• /
• pp.75-91
• /
• 2007

Objectives: It is known that the majority of middle schoolers spend the substantial amount of time using the Internet. Despite the fact, little is known about which factors are related to an increase in Internet use and what could be the consequences of excessive Internet use. The aim of this study was to explore factors affecting an increase in Internet use among elementary schoolers representing the population of South Korean elementary schoolers. Method: Secondary data obtained from the Korea Youth Panel Survey were analyzed longitudinally. Results: The average minutes spent using the Internet was 73.43 in the first wave, and was 92.17 in the second wave. Also, the percentage of those who experienced illegal behaviors on the Internet was 22.86% in the first wave, and was 30.92% in the second wave. Second, increased Internet use was strongly associated with an attack tendency, depression, suicidal ideation, stress, and delinquent behaviors. Finally, gender(being female), and increased attacking tendency, and smoking experiences successfully predicted an increase in Internet use one year later. Conclusions: It is necessary to provide education programs to young people and to develop preventive strategies for them. Through providing education programs, children can form desirable attitudes regarding the Internet use. Through providing intervention strategies, children can prevent from experiencing negative consequences due to excessive Internet use.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.45 no.1
• /
• pp.14-26
• /
• 2008

IP over Ethernet technology widely used as Internet access uses the ARP(Address Resolution Protocol) that translates an ip address to the corresponding MAC address. recently, there are ARP security attacks that intentionally modify the IP address and its corresponding MAC address, utilizing various tools like "snoopspy". Since ARP attacks can redirect packets to different MAC address other than destination, attackers can eavesdrop packets, change their contents, or hijack the connection. Because the ARP attack is performed at data link layer, it can not be protected by security mechanisms such as Secure Shell(SSH) or Secure Sockets Layer(SSL). Thus, in this paper, we classify the ARP attack into downstream ARP spoofing attack and upstream ARP redirection attack, and propose a new security mechanism using DHCP information for acquisition of IP address. We propose a "DHCP snoop mechanism" or "DHCP sniffing/inspection mechanism" for ARP spoofing attack, and a "static binding mechanism" for ARP redirection attack. The proposed security mechanisms for ARP attacks can be widely used to reinforce the security of the next generation internet access networks including BcN.

• Journal of Internet Computing and Services
• /
• v.12 no.2
• /
• pp.85-101
• /
• 2011

The recommender system analyzes users' preference and predicts the users' preference to items in order to recommend various items such as book, movie and music for the users. The collaborative filtering method is used most widely in the recommender system. The method uses rating information of similar users when recommending items for the target users. Performance of the collaborative filtering-based recommendation is lowered when attacker maliciously manipulates the rating information on items. This kind of malicious act on a recommender system is called 'Recommendation Attack'. When the evaluation data that are in continuous change are analyzed in the perspective of data stream, it is possible to predict attack on the recommender system. In this paper, we will suggest the method to detect attack on the recommender system by using the stream trend of the item evaluation in the collaborative filtering-based recommender system. Since the information on item evaluation included in the evaluation data tends to change frequently according to passage of time, the measurement of changes in item evaluation in a fixed period of time can enable detection of attack on the recommender system. The method suggested in this paper is to compare the evaluation stream that is entered continuously with the normal stream trend in the test cycle for attack detection with a view to detecting the abnormal stream trend. The proposed method can enhance operability of the recommender system and re-usability of the evaluation data. The effectiveness of the method was verified in various experiments.

• Journal of Internet Computing and Services
• /
• v.18 no.6
• /
• pp.35-46
• /
• 2017

Recently, attackers using malicious code in cyber security have been increased by attaching malicious code to a mail and inducing the user to execute it. Especially, it is dangerous because it is easy to execute by attaching a document type file. The author analysis is a research area that is being studied in NLP (Neutral Language Process) and text mining, and it studies methods of analyzing authors by analyzing text sentences, texts, and documents in a specific language. In case of attack mail, it is created by the attacker. Therefore, by analyzing the contents of the mail and the attached document file and identifying the corresponding author, it is possible to discover more distinctive features from the normal mail and improve the detection accuracy. In this pager, we proposed IADA2(Intelligent Attack mail Detection based on Authorship Analysis) model for attack mail detection. The feature vector that can classify and detect attack mail from the features used in the existing machine learning based spam detection model and the features used in the author analysis of the document and the IADA2 detection model. We have improved the detection models of attack mails by simply detecting term features and extracted features that reflect the sequence characteristics of words by applying n-grams. Result of experiment show that the proposed method improves performance according to feature combinations, feature selection techniques, and appropriate models.