973Aa Information Technology And Systems Assessment Answers

While you can discuss the assignment with your peers, your submission should be your own work. You should provide evidence of your own work incorporated in your submission.

The objective of this assignment is to gain knowledge and understanding of digital forensics through research and practical experience. This understanding is to be demonstrated by submission of a formal technical report of an analysis of digital forensics artefacts and a brief essay on recent advanced in digital forensics.

 

After the Diamond affair and the key part digital forensics played in the outcome of that situation, Q has decided that more funding should be allocated to the digital forensics department. He has come to you to recommend a forensics area and specific project which shows the most potential and the most importance for future investigations. Your proposed project should be based on or describe recent advances in digital forensics research. Your task is to write a brief essay indicating where MI5 funds should be invested.

The previous research has been mainly in the IoT which focus on the applications of the sensor module, processing, actuation, communication and the energy modules. It works on the entities with enabling the sense of local conditions in the environment with controlled sensing and event-driving sensing. The processing module works over the system of sensors and application where the processing of data and information is received from sensors and transmit them. From the previous works that have been done in the Internet of Things, the existence, sense of self and connectivity works over the identity with objects that can handle the data, decide and act autonomously (Zia et al., 2017). The scalability includes the quantity of IoT devices which are associated with the global information network where the schemes are accessible to the security setup that is a challenging mission as well. To merge with the IoT technology, the reviewing of the gaps is mainly identified with emphasizing the pre-investigation process and the real-time elements for the IoT contexts.

The cloud forensics is important for the reinforcement of cybersecurity with the data generated by the IoT components and is stored on the cloud mainly due to the scalability, capacity and the convenience. The continued growth of the IoT has been mainly to investigate the related incidents with addressing the security concerns to verify and leverage the physical and digital evidence (Kebande et al., 2016). The IoT forensics also focus on the network connectivity, data analytics, security with the cyber and the physical setup, management and automation, application platform. The sources of threats are depending upon the misbehaving users where the focus is on the technology about the users and revealing the same to the outsiders. The attacks in IoT works over the node tampering and node compromised factors which includes the sabotage where the attackers try to prevent the base station from receiving the actual readings from the sensor networks. The investigative framework is about the rapid growth of the technology which includes that there is a need to work over the dedicated hardware based or the software based systems which will help in easy investigation. The secured chain of custody is important to make sure of the processes through the investigation process.

With the granularity and semantics of the evidence from IoT, the focus is on the preservation issues which relates to the conventional computing environment. The approach is extended to the digital preservation orders from the contaminated or the overwritten forms by reducing the resolution at which the data in the devices is being captures (Nieto et al., 2016). The financial standards are set to consider the aggregated data which may breach mainly the data privacy legislation with the holders of the data interfering information about the individuals. With this, the focus is also on the aggregation offences that are alleged for the taken place. The aggregation of the data provides the possibility of interring the useful information with introducing the challenges related to the semantic gap (Zia et al., 2017).

New Digital Forensics Project

As per the research, the preparation of the forensic readiness is mainly at the time of pre-investigation phase and adopting the real-time elements. The pre-investigation phase is important for the check on the incidents with preparing, acquisition, and for evaluating the processes. It works on the management readiness with preparing the plan and the tools, techniques and operations to support the investigation (Khan, 2016). The monitoring and obtaining the authorisation process is through recruiting the main power with proper training. The real-time approach for the automatic investigation includes the accommodation of issues with real time constraints. The detection mechanism is set with the memory and the storage requirement, time synchronisation and the communication. IoT works over handling the memory and the storage capacity to accommodate the excessive processing the memory requirements and the timing characteristics. They are important for the strong and stable communication which is important to make sure of the potential evidence to extract the information. The identification and the preservation of evidence is based on handling the identified preservation with modification, creation and accessing the time of files. (Conti et al., 2017)

The challenge is posed by the devices which includes the emphasis of investigations on the devices or the data. The IoT forensics are set with the transferring and aggregation of the data or evidence when securing the chain of evidence. The preservation of the scenes is related to the IoT investigations that undergo the analysis related to the data at the time scene. The interaction between the IoT and the cloud computing mainly facilitate the aggregation and the data processing which has been generated by the large scale distributed cloud environments. This also includes the barriers or the issues related to the proprietary devices to interface or set with the cloud computing platforms where the scale, distribution and the remote nature of the data is precluded with the imaging of the viable extraction process. The IoT application and services include the network forensics, device level forensic and the cloud forensics which includes the analysis and the challenges related to the locations, relationship, timings and the data. It is important to focus on the distributed, aggregated, processed or the by-products of the human device with the focus over the operating systems, interface and the data formats (Nieto et al., 2016).

The IoT works over the large-scale source of the potential evidence where the IoT devices are distributed, aggregated and processed with the challenges. The processes are set for the Contiki open source OS for the IoT which could be used for the test beds.

The digital forensics are important for the recovery, investigation and the data interpretation which includes the detection and the proper challenges related to the complexities and the instabilities of the system. This includes the forms where the data is transferred and could be consumed by the local network of things. The analysis of data is mainly to include the evidences which are reliable and authentic (Teing et al., 2017). From the intelligent control to the advancement of the city management systems, the devices interconnect and communicate with each other. They can work over providing the proper access to the use of larger amount of the personal and the sensitive data.

Conclusions

IoT is one of the booming technology which is mainly for securing the devices and the systems. The work on the mobility is for the IoT which works on achieving the goals and work over the different industry and the academia. The criminal investigation and the evidence collection in the realm of the cyber security helps in getting all the valuable ideas for the work. The evidence is collected from the smart devices and the sensors, where the hardware and the software can provide a better communication between the smart devices which includes the traditional computer forensics. The group includes the cloud, social network, ISP and the mobile network providers for the online identities and the internet connection.

The future work focus on the results where the smart home IoT device works over the hub, and the cookies. The data is analysed with proper collection and storing of the information, where the privacy of the users is the important issue. The companies like Google and the government organisations need to access the data where they may violate the user’s privacy and make use of the data for their profit. Hence, the IoT security is important where the digital forensics are used for working over the security issues.

References

Meffert, C., Clark, D., Baggili, I., & Breitinger, F. (2017, August). Forensic State Acquisition from Internet of Things (FSAIoT): A general framework and practical approach for IoT forensics through IoT device state acquisition. In Proceedings of the 12th International Conference on Availability, Reliability and Security (p. 56). ACM.

Khan, S. (2016). The Role of Forensics in the Internet of Things: Motivations and Requirements. Newsletter, 2016.

Conti, M., Dehghantanha, A., Franke, K., & Watson, S. (2018). Internet of Things security and forensics: Challenges and opportunities.

Nieto, A., Roman, R., & Lopez, J. (2016). Digital Witness: Digital Evidence Management Framework for the Internet of Things.

Teing, Y. Y., Dehghantanha, A., Choo, K. K. R., & Yang, L. T. (2017). Forensic investigation of P2P cloud storage services and backbone for IoT networks: BitTorrent Sync as a case study. Computers & Electrical Engineering, 58, 350-363.

Kebande, V. R., & Ray, I. (2016, August). A generic digital forensic investigation framework for internet of things (iot). In Future Internet of Things and Cloud (FiCloud), 2016 IEEE 4th International Conference on (pp. 356-362). IEEE.

Zia, T., Liu, P., & Han, W. (2017, August). Application-Specific Digital Forensics Investigative Model in Internet of Things (IoT). In Proceedings of the 12th International Conference on Availability, Reliability and Security (p. 55). ACM.

Nieto, A., Rios, R., & Lopez, J. (2017, August). A Methodology for Privacy-Aware IoT-Forensics. In Trustcom/BigDataSE/ICESS, 2017 IEEE (pp. 626-633). IEEE.