• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권7호
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• pp.1916-1934
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• 2023

The phishing attack is a malicious emerging threat on the internet where the hackers try to access the user credentials such as login information or Internet banking details through pirated websites. Using that information, they get into the original website and try to modify or steal the information. The problem with traditional defense systems like firewalls is that they can only stop certain types of attacks because they rely on a fixed set of principles to do so. As a result, the model needs a client-side defense mechanism that can learn potential attack vectors to detect and prevent not only the known but also unknown types of assault. Feature selection plays a key role in machine learning by selecting only the required features by eliminating the irrelevant ones from the real-time dataset. The proposed model uses Hyperparameter Optimized Artificial Neural Networks (H-ANN) combined with a Hybrid Firefly and Grey Wolf Optimization algorithm (H-FFGWO) to detect and block phishing websites in Internet of Things(IoT) Applications. In this paper, the H-FFGWO is used for the feature selection from phishing datasets ISCX-URL, Open Phish, UCI machine-learning repository, Mendeley website dataset and Phish tank. The results showed that the proposed model had an accuracy of 98.07%, a recall of 98.04%, a precision of 98.43%, and an F1-Score of 98.24%.

• 디지털산업정보학회논문지
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• 제13권1호
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• pp.49-57
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• 2017

IoT can be connected through a single network not only objects which can be connected to existing internet but also objects which has communication capability. This IoT environment will be a huge change to the existing communication paradigm. However, the big security problem must be solved in order to develop further IoT. Security mechanisms reflecting these characteristics should be applied because devices participating in the IoT have low processing ability and low power. In addition, devices which perform abnormal behaviors between objects should be also detected. Therefore, in this paper, we proposed D-IDS technique for efficient detection of malicious attack nodes between devices participating in the IoT. The proposed technique performs the central detection and distribution detection to improve the performance of attack detection. The central detection monitors the entire network traffic at the boundary router using SVM technique and detects abnormal behavior. And the distribution detection combines RSSI value and reliability of node and detects Sybil attack node. The performance of attack detection against malicious nodes is improved through the attack detection process. The superiority of the proposed technique can be verified by experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5773-5784
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• 2019

ARIA is an involutory SPN block cipher. Its block size is 128-bit and the master key sizes are 128/192/256-bit, respectively. Accordingly, they are called ARIA-128/192/256. As we all know, ARIA is a Korean Standard block cipher nowadays. This paper focuses on the security of ARIA against impossible differential attack. We firstly construct a new 4-round impossible differential of ARIA. Furthermore, based on this impossible differential, a new 7-round impossible differential attack on ARIA-256 is proposed in our paper. This attack needs 2¹¹⁸ chosen plaintexts and 2²¹⁰ 7-round encryptions. Comparing with the previous best result, we improve both the data complexity and time complexity. To our knowledge, it is the best impossible differential attack on ARIA-256 so far.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제3권3호
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• pp.251-265
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• 2009

VoIP service is the transmission of voice data using SIP protocol on an IP-based network. The SIP protocol has many advantages, such as providing IP-based voice communication and multimedia service with low communication cost. Therefore, the SIP protocol disseminated quickly. However, SIP protocol exposes new forms of vulnerabilities to malicious attacks, such as message flooding attack. It also incurs threats from many existing vulnerabilities as occurs for IP-based protocol. In this paper, we propose a new virtual proxy to cooperate with the existing Proxy Server to provide state monitoring and detect SIP message flooding attack with IP/MAC authentication. Based on a proposed virtual proxy, the proposed system enhances SIP attack detection performance with minimal latency of SIP packet transmission.

• 정보보호학회논문지
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• 제25권4호
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• pp.941-950
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• 2015

인터넷의 발달과 함께 인터넷 뱅킹은 널리 사용되고 있다. 이와 함께 금전적 이득을 목적으로 인터넷 뱅킹을 타겟으로 하는 피싱 공격이 기승을 부리고 있으며, 이에 대응하기 위해 은행에서는 보안 모듈을 사용자 컴퓨터에 설치하고 인터넷 뱅킹을 이용하도록 요구한다. 하지만 메모리 해킹 공격 등 고도화된 피싱 공격은 보안 모듈을 우회한다. 본 논문에서는 국내 은행에서 제공하는 인터넷뱅킹 보안 모듈 현황을 알아보고, 그 중에서도 이체 정보의 암호화를 담당하는 키보드 보안 모듈을 분석한다. 그리고 자바스크립트를 이용하여 이체정보를 변조하는 기법을 제안한다. 키보드 보안 모듈은 공격자가 심어놓은 악의적 프로그램으로부터 사용자가 입력한 이체 정보의 노출 및 변조를 방지하는 기능을 담당한다. 하지만 우리가 제안한 자바스크립트 변조 공격은 키보드 암호화 모듈을 우회하고 이체 정보를 변조하는 것이 가능하다. 또한 이체정보확인 페이지를 변조하여 사용자가 정상적인 거래를 한 것처럼 속일 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.911-914
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• 2014

인터넷이 우리의 생활의 기본 인프라로 자리 잡고 사이버 공간에서의 생활이 일상화되면서 부가적인 많은 문제점들이 생겨났다. 그 중 사이버 침해는 정보사회의 가장 심각한 문제 가운데 하나가 되었다. 해마다 증가하는 사이버공격, 지능화되고 진화하는 공격 유형 등으로 사이버 생태계가 더 복잡해지고 있다. 따라서 본 연구에서는 최근 인터넷 침해 사고 현황과 인터넷 침해 유형 및 해킹방법을 분석하고 국내 대응 조직 및 국제 협의체 현황을 분석하였다.

• 인터넷정보학회논문지
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• 제11권6호
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• pp.73-86
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• 2010

최근 웹 공격 기술의 발달로 인하여 기존 웹 로그 분석에 통한 공격 탐지 기술뿐만 아니라 웹 방화벽 로그, 웹 IDS 및 시스템 이벤트 로그 등과 같이 다수의 웹 관련 감사 자료를 이용하여 웹 시스템에 대한 공격 이벤트를 분석하고 비정상 행위를 탐지할 필요가 있다. 따라서 본 연구에서는 웹 서버에서 생성되는 IIS 웹 로그 정보와 웹 방화벽 및 웹 IDS 시스템에서 생성되는 이벤트 로그 정보 등을 이용하여 일차적으로 통합 로그를 생성하고 이를 이용하여 웹 공격을 탐지할 수 있는 시스템을 설계 및 구현하였다. 본 연구에서 제안한 시스템은 다중 웹 세션에 대한 분석 과정을 수행하고 웹 시스템 공격과 관련된 연관성을 분석하여 대용량의 웹 로그 및 웹 IDS/방화벽 정보를 대상으로 효율적 공격 탐지 기능을 제공하도록 하였다. 본 연구에서 제시한 시스템을 사용할 경우 능동적이고 효율적인 웹 로그 공격 이벤트 분석 및 웹 공격을 탐지할 수 있는 장점이 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.727-746
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• 2018

The hash function RIPEMD-160 is a worldwide ISO/IEC standard and the hash function HAS-160 is the Korean hash standard and is widely used in Korea. On the basis of differential meet-in-the-middle attack and biclique technique, a preimage attack on 34-step RIPEMD-160 with message padding and a pseudo-preimage attack on 71-step HAS-160 without message padding are proposed. The former is the first preimage attack from the first step, the latter increases the best pseudo-preimage attack from the first step by 5 steps. Furthermore, we locate the linear spaces in another message words and exchange the bicliques construction process and the mask vector search process. A preimage attack on 35-step RIPEMD-160 and a preimage attack on 71-step HAS-160 are presented. Both of the attacks are from the intermediate step and satisfy the message padding. They improve the best preimage attacks from the intermediate step on step-reduced RIPEMD-160 and HAS-160 by 4 and 3 steps respectively. As far as we know, they are the best preimage and pseudo-preimage attacks on step-reduced RIPEMD-160 and HAS-160 respectively in terms of number of steps.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.344-365
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• 2020

Providing security has been always on priority in all areas of computing and communication, and for the systems that are low on computing power, implementing appropriate and efficient security mechanism has been a continuous challenge for the researchers. Radio Frequency Identification (RFID) system is such an environment, which requires the design and implementation of efficient security mechanism. Earlier, the security protocols for RFID based on hash functions and symmetric key cryptography have been proposed. But, due to high strength and requirement of less key size in elliptic curve cryptography, the focus of researchers has been on designing efficient security protocol for RFID based on elliptic curves. In this paper, an efficient elliptic curve signcryption based security protocol for RFID has been proposed, which provides mutual authentication, confidentiality, non-repudiation, integrity, availability, forward security, anonymity, and scalability. Moreover, the proposed protocol successfully provides resistance from replay attack, impersonation attack, location tracking attack, de-synchronization attack, denial of service attack, man-in-the-middle attack, cloning attack, and key-compromise attack. Results have revealed that the proposed protocol is efficient than the other related protocols as it takes less computational time and storage cost, especially for the tag, making it ideal to be used for RFID systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권7호
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• pp.2512-2531
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• 2014

We propose a new Distributed Denial of Service (DDoS) defense mechanism that protects http web servers from application-level DDoS attacks based on the two methodologies: whitelist-based admission control and busy period-based attack flow detection. The attack flow detection mechanism detects attach flows based on the symptom or stress at the server, since it is getting more difficult to identify bad flows only based on the incoming traffic patterns. The stress is measured by the time interval during which a given client makes the server busy, referred to as a client-induced server busy period (CSBP). We also need to protect the servers from a sudden surge of attack flows even before the malicious flows are identified by the attack flow detection mechanism. Thus, we use whitelist-based admission control mechanism additionally to control the load on the servers. We evaluate the performance of the proposed scheme via simulation and experiment. The simulation results show that our defense system can mitigate DDoS attacks effectively even under a large number of attack flows, on the order of thousands, and the experiment results show that our defense system deployed on a linux machine is sufficiently lightweight to handle packets arriving at a rate close to the link rate.