• 제목/요약/키워드: Security Techniques

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블록체인 기반의 SCADA 시스템 보안 (Blockchain-based SCADA system security)

  • 지승원;이원기;고태광;박소희;오구연;김종민;김동민
    • 융합보안논문지
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    • 제19권5호
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    • pp.55-61
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    • 2019
  • 본 논문은 갈수록 치밀해지고 정교해지는 위협으로부터 SCADA 망을 지키기 위한 보안 방안에 대해 연구하였다. 현재 SCADA 시스템 보안은 일반 IT 보안 시스템과 거의 유사한 방법이 사용되고 있다. 공통적으로 필요한 보안 기법들도 있겠지만, 일반 IT 시스템과는 다른 SCADA 시스템만을 위한 보안 기법이 필요한 실정이다. 따라서 본 논문은 현재 SCADA 시스템에 사용되는 보안 기법에 대해 알아보고, 현재 보안 기법을 사용하였을 시 생기는 문제점을 SCADA 시스템의 공격에 따른 피해 사례들을 통해 알아볼 예정이다. 마지막으로 현재 SCADA 시스템에 필요한 가용성과 무결성을 보장하기 위한 새로운 대응 방안으로 Blockchain 과 SCADA 시스템의 연계를 제안하였다.

Steganography: A Flexible Embedded Randomization Technique

  • Khaled H., Abuhmaidan;Ahmad K., Kayed;Maryam, Alrisia
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권1호
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    • pp.120-144
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    • 2023
  • With the expansion of digital communication networks, a considerable number of randomization techniques have been invented and implemented to enhance the different data transmission algorithms' levels of security. Steganography is among the data transmissions techniques used to hide secret data. Nowadays, several randomization techniques have been used in steganography to elevate the security of transmitted data. Unfortunately, the majority of these techniques lack some simplicity, efficiency, and flexibility, in addition to other limitations. This research presents a new randomization technique called Rand-Stego. Rand-Stego could be applied/practiced over any steganography technique. It provides simplicity and efficiency and elevates the security level. Examples of implementing the proposed technique on some steganography algorithms will be explored. The proposed and current techniques will be compared. The obtained results show Rand-Stego's superiority in terms of efficiency and flexibility when compared to the current techniques.

인터넷 뱅킹 서비스 보안기술의 현황과 미래 (Status and Future of Security Techniques in the Internet Banking Service)

  • 이경률;임강빈;서정택
    • 인터넷정보학회논문지
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    • 제18권2호
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    • pp.31-42
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    • 2017
  • 인터넷 뱅킹 서비스가 보편화되면서 많은 사용자들이 온라인을 통한 재화의 교환이 가능하였다. 하지만 이러한 이점에도 불구하고 인터넷 뱅킹 서비스에서 존재하는 보안위협에 의하여 사고사례가 지속적으로 발생하는 실정이다. 이러한 문제점을 보완하기 위하여 인터넷 뱅킹 서비스의 전 구간에 걸쳐 다양한 보안기술이 적용되었으며, 본 논문에서는 금융기관 구간과 네트워크 구간에 적용된 보안기술에 대한 조사 결과를 서술한다. 본 논문의 결과를 통하여 내부자에 의하여 발생하는 피해사례와 구현과정에서의 취약점으로 인하여 발생하는 위협에 대응하기 위한 참고 자료로써 활용 가치가 있을 것으로 사료된다.

Data Security on Cloud by Cryptographic Methods Using Machine Learning Techniques

  • Gadde, Swetha;Amutharaj, J.;Usha, S.
    • International Journal of Computer Science & Network Security
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    • 제22권5호
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    • pp.342-347
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    • 2022
  • On Cloud, the important data of the user that is protected on remote servers can be accessed via internet. Due to rapid shift in technology nowadays, there is a swift increase in the confidential and pivotal data. This comes up with the requirement of data security of the user's data. Data is of different type and each need discrete degree of conservation. The idea of data security data science permits building the computing procedure more applicable and bright as compared to conventional ones in the estate of data security. Our focus with this paper is to enhance the safety of data on the cloud and also to obliterate the problems associated with the data security. In our suggested plan, some basic solutions of security like cryptographic techniques and authentication are allotted in cloud computing world. This paper put your heads together about how machine learning techniques is used in data security in both offensive and defensive ventures, including analysis on cyber-attacks focused at machine learning techniques. The machine learning technique is based on the Supervised, UnSupervised, Semi-Supervised and Reinforcement Learning. Although numerous research has been done on this topic but in reference with the future scope a lot more investigation is required to be carried out in this field to determine how the data can be secured more firmly on cloud in respect with the Machine Learning Techniques and cryptographic methods.

Security Model for Tree-based Routing in Wireless Sensor Networks: Structure and Evaluation

  • Almomani, Iman;Saadeh, Maha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권4호
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    • pp.1223-1247
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    • 2012
  • The need for securing Wireless Sensor Networks (WSNs) is essential especially in mission critical fields such as military and medical applications. Security techniques that are used to secure any network depend on the security requirements that should be achieved to protect the network from different types of attacks. Furthermore, the characteristics of wireless networks should be taken into consideration when applying security techniques to these networks. In this paper, energy efficient Security Model for Tree-based Routing protocols (SMTR) is proposed. In SMTR, different attacks that could face any tree-based routing protocol in WSNs are studied to design a security reference model that achieves authentication and data integrity using either Message Authentication Code (MAC) or Digital Signature (DS) techniques. The SMTR communication and processing costs are mathematically analyzed. Moreover, SMTR evaluation is performed by firstly, evaluating several MAC and DS techniques by applying them to tree-based routing protocol and assess their efficiency in terms of their power requirements. Secondly, the results of this assessment are utilized to evaluate SMTR phases in terms of energy saving, packet delivery success ratio and network life time.

SD-MTD: Software-Defined Moving-Target Defense for Cloud-System Obfuscation

  • Kang, Ki-Wan;Seo, Jung Taek;Baek, Sung Hoon;Kim, Chul Woo;Park, Ki-Woong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권3호
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    • pp.1063-1075
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    • 2022
  • In recent years, container techniques have been broadly applied to cloud computing systems to maximize their efficiency, flexibility, and economic feasibility. Concurrently, studies have also been conducted to ensure the security of cloud computing. Among these studies, moving-target defense techniques using the high agility and flexibility of cloud-computing systems are gaining attention. Moving-target defense (MTD) is a technique that prevents various security threats in advance by proactively changing the main attributes of the protected target to confuse the attacker. However, an analysis of existing MTD techniques revealed that, although they are capable of deceiving attackers, MTD techniques have practical limitations when applied to an actual cloud-computing system. These limitations include resource wastage, management complexity caused by additional function implementation and system introduction, and a potential increase in attack complexity. Accordingly, this paper proposes a software-defined MTD system that can flexibly apply and manage existing and future MTD techniques. The proposed software-defined MTD system is designed to correctly define a valid mutation range and cycle for each moving-target technique and monitor system-resource status in a software-defined manner. Consequently, the proposed method can flexibly reflect the requirements of each MTD technique without any additional hardware by using a software-defined approach. Moreover, the increased attack complexity can be resolved by applying multiple MTD techniques.

A Survey on Cloud Storage System Security via Encryption Mechanisms

  • Alsuwat, Wejdan;Alsuwat, Hatim
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.181-186
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    • 2022
  • Cloud computing is the latest approach that is developed for reducing the storage of space to store the data and helps the quick sharing of the data. An increase in the cloud computing users is observed that is also making the users be prone to hacker's attacks. To increase the efficiency of cloud storage encryption mechanisms are used. The encryption techniques that are discussed in this survey paper are searchable encryption, attribute-based, Identity-based encryption, homomorphic encryption, and cloud DES algorithms. There are several limitations and disadvantages of each of the given techniques and they are discussed in this survey paper. Techniques are found to be effective and they can increase the security of cloud storage systems.

위협별 대응기술들의 상관관계를 고려한 보안 투자 모델링 (The Best Model to Optimize Security Investments with Considering a Corelation of Response Techniques Against Each Threat)

  • 김민식;임종인
    • 융합보안논문지
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    • 제9권1호
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    • pp.39-44
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    • 2009
  • 보안 투자에 대한 정당성을 확보하기 위해 보안 투자에 대한 투자대비효과 분석이 반드시 요구된다. 본 논문에서는 최적의 보안 투자 의사결정을 어렵게 하는 요소들을 고려함과 동시에 투자대비효과를 정량적인 수치로 표현하여 효과적인 의사 결정을 지원할 수 있는 모델링을 제안한다. 본 모델링은 최적의 정보보안 솔루션을 선정하기 위하여 잔여 위험 수치를 판단 기준으로 활용하고, 가용한 정보보안 솔루션 중에서 정보보안 솔루션들의 위협별 대응기술들의 상관관계를 고려하여 정확성을 높여준다.

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Significance and Research Challenges of Defensive and Offensive Cybersecurity in Smart Grid

  • Hana, Mujlid
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.29-36
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    • 2022
  • Smart grid (SG) software platforms and communication networks that run and manage the entire grid are increasingly concerned about cyber security. Characteristics of the smart grid networks, including heterogeneity, time restrictions, bandwidth, scalability, and other factors make it difficult to secure. The age-old strategy of "building bigger walls" is no longer sufficient given the rise in the quantity and size of cyberattacks as well as the sophisticated methods threat actor uses to hide their actions. Cyber security experts utilize technologies and procedures to defend IT systems and data from intruders. The primary objective of every organization's cybersecurity team is to safeguard data and information technology (IT) infrastructure. Consequently, further research is required to create guidelines and methods that are compatible with smart grid security. In this study, we have discussed objectives of of smart grid security, challenges of smart grid security, defensive cybersecurity techniques, offensive cybersecurity techniques and open research challenges of cybersecurity.

DISC 성격 유형과 사이버 보안 위협간의 상호 연관성에 관한 연구 : 스피어피싱 공격 사례를 중심으로 (A Study on the Interrelationship between DISC Personality Types and Cyber Security Threats : Focusing on the Spear Phishing Attacks)

  • 김묵정;이상진
    • 정보보호학회논문지
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    • 제29권1호
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    • pp.215-223
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    • 2019
  • 최근의 사이버 공격 위협 트렌드는 기업 또는 개인의 중요 정보 자산을 탈취하기 위해 기술적으로 광범위하게 해킹을 시도하는 방법과, 인간의 심리학적 요인을 겨냥한 사회공학(social engineering) 해킹 기법이 복합적으로 활용되는 '지능형 지속 위협 공격(APT)' 이 주를 이루고 있다. APT 공격 기법 중 가장 보편적으로 활용되는 스피어 피싱(spear phishing)은 약 90% 이상이 APT공격의 핵심 요소로 활용되며, 쉬우면서도 강력한 효과를 내는 해킹 기법으로 잘 알려져 있다. 사이버 보안 위협 방어를 위한 기존 선행 연구는 주로 기술적, 정책적 측면에 국한하여 접근하고 있다. 그러나 지능화된 해킹 공격에 맞서 선제적으로 대응하기 위해서는 사회공학 측면에서 기존과는 다른 관점의 연구가 필요하다. 본 논문은 스피어피싱 공격 사례를 중심으로 인간의 성격 유형(DISC)과 사이버 보안 위협간의 상호 연관성을 분석하고, 기존의 틀을 깨는 새로운 관점의 보안 위협 대응 방안에 대해 제안하고자 한다.