Internet of Medical Things: Forensics Investigation on Zebra Phones

被引:1
|
作者
Sager, Kasey [1 ]
Fofie, Charles [2 ]
Podhradsky, Ashley [3 ]
机构
[1] Univ Alabama, Huntsville, AL 35899 USA
[2] Minot State Univ, Minot, ND USA
[3] Dakota State Univ, Madison, SD USA
基金
美国国家科学基金会;
关键词
Internet of Medical Things; Forensics; Zebra Phone;
D O I
10.1109/MASS56207.2022.00115
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Internet of Things (IoT) encompasses many connected devices that have brought considerable improvements, entertainment, and convenience to everyday lives. From asking Alexa to say the weather, looking at the heart rate on the fitness tracker, reviewing home security cameras, or creating a grocery list on the fridge, IoT's have improved the efficiency of everyday lives. One emerging aspect of IoT is the Internet of Medical Devices (IoMT). Telehealth is one of the fastest-growing categories in health care world worldwide. As more people age in place, the adoption of IoMT devices can give a doctor a constant detail about her patients. Telehealth has been drastically improved by the integration of IoMT devices, which can report on oxygen levels, blood pressure, heart rate, blood sugar and more from the comfort of a patient's home. IoMT devices are not limited to home-care devices, rather hospital rooms rely on the sensors and devices to keep tabs on a patient during their stay in the hospital. In this research, we are analyzing a common IoMT communication device, a Zebra phone. The Zebra phone has a proprietary operating system that is not seen on other consumer phones. This research conducts forensic investigations on two Zebra phones to understand what vulnerabilities are introduced by the device, how they can be exploited, how they can be better protected, and how they can be investigated if compromised.
引用
收藏
页码:736 / 741
页数:6
相关论文
共 50 条
  • [1] FIViz: Forensics Investigation through Visualization for Malware in Internet of Things
    Ahmad, Israr
    Shah, Munam Ali
    Khattak, Hasan Ali
    Ameer, Zoobia
    Khan, Murad
    Han, Kijun
    [J]. SUSTAINABILITY, 2020, 12 (18)
  • [2] Internet of Things Forensics: A Review
    Atlam, Hany F.
    Hemdan, Ezz El-Din
    Alenezi, Ahmed
    Alassafi, Madini O.
    Wills, Gary B.
    [J]. INTERNET OF THINGS, 2020, 11
  • [3] A Survey on Digital Forensics in Internet of Things
    Hou, Jianwei
    Li, Yuewei
    Yu, Jingyang
    Shi, Wenchang
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (01): : 1 - 15
  • [4] Using Clustering for Forensics Analysis on Internet of Things
    Salhi, Dhai Eddine
    Tari, Abelkamel
    Kechadi, Mohand Tahar
    [J]. INTERNATIONAL JOURNAL OF SOFTWARE SCIENCE AND COMPUTATIONAL INTELLIGENCE-IJSSCI, 2021, 13 (01): : 56 - 71
  • [5] State of the art in Digital Forensics for the Internet of Things
    Kruger, Jaco-Louis
    Venter, Hein
    [J]. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON CYBER WARFARE AND SECURITY (ICCWS 2019), 2019, : 588 - 596
  • [6] INTERNET OF THINGS FORENSICS - CHALLENGES AND A CASE STUDY
    Alabdulsalam, Saad
    Schaefer, Kevin
    Kechadi, Tahar
    Le-Khac, Nhien-An
    [J]. ADVANCES IN DIGITAL FORENSICS XIV, 2018, 532 : 35 - 48
  • [7] Internet of Things security and forensics: Challenges and opportunities
    Conti, Mauro
    Dehghantanha, Ali
    Franke, Katrin
    Watson, Steve
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 78 : 544 - 546
  • [8] Blockchain-Based Digital Forensics Investigation Framework in the Internet of Things and Social Systems
    Li, Shancang
    Qin, Tao
    Min, Geyong
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2019, 6 (06) : 1433 - 1441
  • [9] Internet of Things to Overtake Mobile Phones by 2018
    Drubin, Cliff
    [J]. MICROWAVE JOURNAL, 2016, 59 (07) : 51 - 51
  • [10] On the Internet of Medical Things
    Cerf, Vinton G.
    [J]. COMMUNICATIONS OF THE ACM, 2020, 63 (08) : 5 - 5