RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      IoT 봇넷 악성코드 기반 침해사고 흔적 수집 방법 = Intrusion Artifact Acquisition Method based on IoT Botnet Malware

      한글로보기

      https://www.riss.kr/link?id=A107899228

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their own security vulnerabilities or easily infected with malicious codes such as bots, causing DDoS attack traffic, are being discovered. Therefore, in this study, in order to actively respond to cyber attacks targeting IoT devices that are rapidly increasing in recent years, we proposed a method to collect traces of intrusion incidents artifacts from IoT devices, and to improve the validity of intrusion analysis data. Specifically, we presented a method to acquire and analyze digital forensics artifacts in the compromised system after identifying the causes of vulnerabilities by reproducing the behavior of the sample IoT malware. Accordingly, it is expected that it will be possible to establish a system that can efficiently detect intrusion incidents on targeting large-scale IoT devices.
      번역하기

      With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their ow...

      With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their own security vulnerabilities or easily infected with malicious codes such as bots, causing DDoS attack traffic, are being discovered. Therefore, in this study, in order to actively respond to cyber attacks targeting IoT devices that are rapidly increasing in recent years, we proposed a method to collect traces of intrusion incidents artifacts from IoT devices, and to improve the validity of intrusion analysis data. Specifically, we presented a method to acquire and analyze digital forensics artifacts in the compromised system after identifying the causes of vulnerabilities by reproducing the behavior of the sample IoT malware. Accordingly, it is expected that it will be possible to establish a system that can efficiently detect intrusion incidents on targeting large-scale IoT devices.

      더보기

      참고문헌 (Reference)

      1 김선집, "인증 및 경량화 암호알고리즘 기반 IoT 보안 서비스" 한국사물인터넷학회 7 (7): 1-7, 2021

      2 임호성, "사물인터넷 서비스의 신뢰성 강화를 위한 오류 추적 시스템 설계" 한국사물인터넷학회 6 (6): 15-20, 2020

      3 김동관, "무선 공유기의 디지털 포렌식 프로세스 모델에 관한 연구" 한국디지털포렌식학회 11 (11): 17-35, 2017

      4 I. Ali, "Systematic Literature Review on IoT-Based Botnet Attack" 8 : 212220-212232, 2020

      5 A. Alenezi, "IoT Forensics: A State-of-the-Art Review, Challenges and Future Directions" 106-115, 2019

      6 Xiaolu Zhang, "IoT Botnet Forensics : A Comprehensive Digital Forensic Case Study on Mirai Botnet Servers" Elsevier 32 : S1-S20, 2020

      7 Weam Saadi Hamza, "IoT Botnet Detection : Challenges and Issues" 83 : 15092-15097, 2020

      8 Ibrar Yaqoob, "Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges" 2018

      9 M. Wazzan, "Internet of Things Botnet Detection Approaches : Analysis and Recommendations for Future Research" 11 : 5713-, 2021

      10 X. Zhang, "How Do I Share My IoT Forensic Experience With the Broader Community? An Automated Knowledge Sharing IoT Forensic Platform" 6 (6): 6850-6861, 2019

      1 김선집, "인증 및 경량화 암호알고리즘 기반 IoT 보안 서비스" 한국사물인터넷학회 7 (7): 1-7, 2021

      2 임호성, "사물인터넷 서비스의 신뢰성 강화를 위한 오류 추적 시스템 설계" 한국사물인터넷학회 6 (6): 15-20, 2020

      3 김동관, "무선 공유기의 디지털 포렌식 프로세스 모델에 관한 연구" 한국디지털포렌식학회 11 (11): 17-35, 2017

      4 I. Ali, "Systematic Literature Review on IoT-Based Botnet Attack" 8 : 212220-212232, 2020

      5 A. Alenezi, "IoT Forensics: A State-of-the-Art Review, Challenges and Future Directions" 106-115, 2019

      6 Xiaolu Zhang, "IoT Botnet Forensics : A Comprehensive Digital Forensic Case Study on Mirai Botnet Servers" Elsevier 32 : S1-S20, 2020

      7 Weam Saadi Hamza, "IoT Botnet Detection : Challenges and Issues" 83 : 15092-15097, 2020

      8 Ibrar Yaqoob, "Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges" 2018

      9 M. Wazzan, "Internet of Things Botnet Detection Approaches : Analysis and Recommendations for Future Research" 11 : 5713-, 2021

      10 X. Zhang, "How Do I Share My IoT Forensic Experience With the Broader Community? An Automated Knowledge Sharing IoT Forensic Platform" 6 (6): 6850-6861, 2019

      11 Bruce Nikkel, "Forensic Artifacts in Modern Linux Systems" Bern University of Applied Sciences

      12 Harichandran, "CuFA : A more formal definition for digital forensic artifacts" 18 : S125-S137, 2016

      13 Anchit Bijalwan, "Botnet Forensic : Issues, Challenges and Good Practices" 10 (10): 28-51, 2018

      14 J. Margolis, "An in-depth analysis of the mirai botnet" 6-12, 2017

      15 Maria Stoyanova, "A Survey on the Internet of Things(IoT)Forensics : Challenges, Approaches, and Open Issues" 22 (22): 1191-1221, 2020

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2024 평가예정 재인증평가 신청대상 (재인증)
      2021-09-27 학술지명변경 한글명 : 한국사물인터넷학회논문지 -> 사물인터넷융복합논문지
      외국어명 : Journal of The Korea Internet of Things Society -> Journal of Internet of Things and Convergence
      KCI등재
      2021-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2019-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼