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COIT20267 Computer Forensics: Baltimore’s 911 System Hack

  1.  Baltimore's 9-1-1 system was recently hacked - Explain your approach and investigation into this scenario as the investigator and forensic examiner.
  1.  Select any recent 2018 national or local media story about a criminal investigation that is either solved or unsolved. Utilize those facts and circumstances - Explain your approach and investigation into this scenario as the investigator and forensic examiner for digital evidence relevant to this particular scenario.

  2. Describing the Facebook data scandal - what digital data would be useful for computer crime scene investigators, if that data was known by investigators to be maintained by Facebook.

Answer:

Baltimore’s 911 system hack

The 911 system works by routing the calls made by users to emergency responders who are closest to a call. The 911 system has saved countless number of lives since its inception, and if hindered, it could disable an entire state for an extended period of time. An attack termed as a TDoS attack, or telephony denial of service attack infects a


number of mobile phones to autimatically make fake calls to 911, clogging call center ques. This prevents real users from reaching the operators (Tan et.al, 2014).

The primary aim of an investigative officer in case of a 911 systems hack would be to identify the route cause of the hack. As the majority of hacks occur due to Malware that infects phones, it would be better to intially try and identify the Apps that conain Malware or Spyware. Once the particular Malware has been identified, the next step would be to identify the phones from which the calls have been arriving to the 911 facility. But this may be challenging for the investigative officer, as the attacks are initiated through a set of commands via covert text messages or the Internet. Steps could be taken to block the phones that repeatedly make the 911 calls using the ImternationalMobile Subscriber Identity (IMSI) number.

The Wannacry Virus attack on 2017

On May 2017 a virus called WannaCry that encrypts data on infected computers and demands ransom payments to allow users access was released across the world. The WannaCry virus predominantly attacked the NHS, which severely deterred its ability to provide care to the patients.

The peculiar feature about WannaCry was that it spreads itself to an organization's network by exploiting a vulnerability (Chen and Bridges, 2017). But it was difficult to determine how the first computer got infected. As an investigative officer, a deeper probe into the places where WannaCry was hosted on malicious websites would have yielded more clues about the attackers. Another feature of WannaCry was the ransom that was to be paid through Bitcoins. A deeper analysis into the type of attack could be made by analysing the style of coding. In cyber crimes, most of the times the attacker may leave certain clues like their way of coding, type of attack, in this case ransomware which could be analysed better to narrow down the attackers.

Digital data useful for computer crime scene investigators

There are a lot of valid data that could be shared by Facebook provided that an individual has been carrying out questionable activities through the Interet. There are a lot of information that is available in the Internet about hacking and cybercrimes. If the browsing activities of an individual is tracked, like what websites are he visiting or what kind of facebook groups are he following, law enforcement can get a fair clue about the activities that is being carried out (Weulen et.al, 2018). Facebook could similarly use features like facial recognition to identify where the person has been traveling, and whom hasbe been with. Though sharing these information is a massive breach of security, if the impact of criminal activities could be lessened or stopped, there is no harm in sharing even these data.

References

Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2014). A system for denial-of-service attack detection based on multivariate correlation analysis. IEEE transactions on parallel and distributed systems, 25(2), 447-456.

Chen, Q., & Bridges, R. A. (2017). Automated Behavioral Analysis of Malware A Case Study of WannaCry Ransomware. arXiv preprint arXiv:1709.08753.

Weulen Kranenbarg, M., Holt, T., & van Gelder, J. L. (2018). Offending and Victimization in the Digital Age: Comparing Correlates of Cybercrime and Traditional Offending-Only, Victimization-Only and the Victimization-Offending Overlap. Deviant Behavior.


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