• Title/Summary/Keyword: Internet Attack

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An ID-Based Remote User Authentication Scheme in IoT (사물인터넷에서 ID기반 원격 사용자 인증 방식)

  • Park, KiSung;Lee, SungYup;Park, YoHan;Park, YoungHo
    • Journal of Korea Multimedia Society
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    • v.18 no.12
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    • pp.1483-1491
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    • 2015
  • Applications of Internet of Things (IoT) supply various conveniences, however unsolved security problems such as personal privacy, data manipulation cause harm to persons, even nations and an limit the applicable areas of Internet of IoT technology. Therefore, study about secure and efficient security system on IoT are required. This paper proposes ID-based remote user authentication scheme in IoT environments. Proposed scheme provides untraceability of users by using different pseudonym identities in every session and reduces the number of variables. Our proposal is secure against inside attack, smart card loss attack, user impersonation attack, server masquerading attack, online/offline password guessing attack, and so on. Therefore, this can be applied to the lightweight IoT environments.

Bitwise Collision Attack Based on Second-Order Distance

  • Wang, Danhui;Wang, An
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.3
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    • pp.1802-1819
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    • 2017
  • Correlation-enhanced collision attack has been proposed by Moradi et al. for several years. However, in practical operations, this method costs lots of time on trace acquisition, storage and averaging due to its bytewise collision detection. In this paper, we propose a bitwise collision attack based on second-order distance model. In this method, only 9 average traces are enough to finish a collision attack. Furthermore, two candidate models are given in this study to distinguish collisions, and the corresponding practical experiments are also performed. The experimental results indicate that the operation time of our attack is only 8% of that of correlation-enhanced collision attack, when the two success rates are both above 0.9.

A Lightweight Detection Mechanism against Sybil Attack in Wireless Sensor Network

  • Shi, Wei;Liu, Sanyang;Zhang, Zhaohui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3738-3750
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    • 2015
  • Sybil attack is a special kind of attack which is difficult to be detected in Wireless Sensor Network (WSN). So a lightweight detection mechanism based on LEACH-RSSI-ID (LRD) is proposed in this paper. Due to the characteristic of Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol, none of nodes can be the cluster head forever.

Mitigating Cache Pollution Attack in Information Centric Mobile Internet

  • Chen, Jia;Yue, Liang;Chen, Jing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.11
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    • pp.5673-5691
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    • 2019
  • Information centric mobile network can significantly improve the data retrieving efficiency by caching contents at mobile edge. However, the cache pollution attack can affect the data obtaining process severely by requiring unpopular contents deliberately. To tackle the problem, we design an algorithm of mitigating cache pollution attacks in information centric mobile network. Particularly, the content popularity distribution statistic is proposed to detect abnormal behavior. Then a probabilistic caching strategy based on abnormal behavior is applied to dynamically maintain the steady-state distribution for content visiting probability and achieve the purpose of defense. The experimental results show that the proposed scheme can achieve higher request hit ratio and smaller latency for false locality content pollution attack than the CacheShield approach and the baseline approach where no mitigation approach is applied.

FuzzyGuard: A DDoS attack prevention extension in software-defined wireless sensor networks

  • Huang, Meigen;Yu, Bin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3671-3689
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    • 2019
  • Software defined networking brings unique security risks such as control plane saturation attack while enhancing the performance of wireless sensor networks. The attack is a new type of distributed denial of service (DDoS) attack, which is easy to launch. However, it is difficult to detect and hard to defend. In response to this, the attack threat model is discussed firstly, and then a DDoS attack prevention extension, called FuzzyGuard, is proposed. In FuzzyGuard, a control network with both the protection of data flow and the convergence of attack flow is constructed in the data plane by using the idea of independent routing control flow. Then, the attack detection is implemented by fuzzy inference method to output the current security state of the network. Different probabilistic suppression modes are adopted subsequently to deal with the attack flow to cost-effectively reduce the impact of the attack on the network. The prototype is implemented on SDN-WISE and the simulation experiment is carried out. The evaluation results show that FuzzyGuard could effectively protect the normal forwarding of data flow in the attacked state and has a good defensive effect on the control plane saturation attack with lower resource requirements.

Double Sieve Collision Attack Based on Bitwise Detection

  • Ren, Yanting;Wu, Liji;Wang, An
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.296-308
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    • 2015
  • Advanced Encryption Standard (AES) is widely used for protecting wireless sensor network (WSN). At the Workshop on Cryptographic Hardware and Embedded Systems (CHES) 2012, G$\acute{e}$rard et al. proposed an optimized collision attack and break a practical implementation of AES. However, the attack needs at least 256 averaged power traces and has a high computational complexity because of its byte wise operation. In this paper, we propose a novel double sieve collision attack based on bitwise collision detection, and an improved version with an error-tolerant mechanism. Practical attacks are successfully conducted on a software implementation of AES in a low-power chip which can be used in wireless sensor node. Simulation results show that our attack needs 90% less time than the work published by G$\acute{e}$rard et al. to reach a success rate of 0.9.

Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks

  • Kim, Sun-Ho;Roh, Byeong-Hee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.2 no.3
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    • pp.135-149
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    • 2008
  • Traditional attack detection schemes based on packets or flows have very high computational complexity. And, network based anomaly detection schemes can reduce the complexity, but they have a limitation to figure out the pattern of the distributed global scale network attack. In this paper, we propose an efficient and fast method for detecting distributed global-scale network attack symptoms in high-speed backbone networks. The proposed method is implemented at the aggregate traffic level. So, our proposed scheme has much lower computational complexity, and is implemented in very high-speed backbone networks. In addition, the proposed method can detect attack patterns, such as attacks in which the target is a certain host or the backbone infrastructure itself, via collaboration of edge routers on the backbone network. The effectiveness of the proposed method are demonstrated via simulation.

Improved Conditional Differential Attacks on Round-Reduced Grain v1

  • Li, Jun-Zhi;Guan, Jie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.9
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    • pp.4548-4559
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    • 2018
  • Conditional differential attack against NFSR-based cryptosystems proposed by Knellwolf et al. in Asiacrypt 2010 has been widely used for analyzing round-reduced Grain v1. In this paper, we present improved conditional differential attacks on Grain v1 based on a factorization simplification method, which makes it possible to obtain the expressions of internal states in more rounds and analyze the expressions more precisely. Following a condition-imposing strategy that saves more IV bits, Sarkar's distinguishing attack on Grain v1 of 106 rounds is improved to a key recovery attack. Moreover, we show new distinguishing attack and key recovery attack on Grain v1 of 107 rounds with lower complexity O($2^{34}$) and appreciable theoretical success probability 93.7%. Most importantly, our attacks can practically recover key expressions with higher success probability than theoretical results.

A Study of the Cross Certification in Internet Banking (인터넷뱅킹에서의 상호인증에 관한 연구)

  • Lee, Young Gyo;Ahn, Jeong Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.3
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    • pp.87-97
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    • 2014
  • Pharming attack is a confidence trick that the hacker catch away customers financial information on Internet banking. At first, a hacker installs malicious execution code on customers PC in secret. As a customer tries to connect a Internet banking Web site, the malicious code changes it to phishing site in Internet explorer. The hacker catch away customers financial information in process of internet banking. The hacker steals money from customer's bank account using stolen information. PKI is a widespread and strong technology for providing the security using public key techniques. The main idea of PKI is the digital certificate that is a digitally signed statement binding an user's identity information and his public key. The Internet banking service stands on the basis of PKI. However, the bank is trusted in natural, the only customer is certified in the present Internet banking. In this paper, we propose a method of cross certification in Internet banking. The customer certify a bank and the bank certify the customer in proposed method. The method can service to customer the secure Internet banking about pharming attack. We compare the proposed method with other methods.

Economic Damage Model on Industries due to Internet Attack and A Case Study (인터넷 침해사고로 인한 기업의 경제적인 피해 산출 모델 및 케이스 연구)

  • Jang, Jong-Ho;Chung, Ki-Hyun;Choi, Kyung-Hee
    • The KIPS Transactions:PartC
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    • v.15C no.3
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    • pp.191-198
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    • 2008
  • Because of the internet development, most of people can acquire the information freely. But it have the disadvantages. A remarkable thing among the disadvantages is the internet attack. Internet attacks were given damages to several fields. Specially, the damage is terrible to the economic side. Specially, company is susceptive to economic damage side. But it didn't execute a research about model that estimates damage to the economic side due to internet attacks. This paper presents a model that estimates the damage to economic side due to internet attacks.