Internet of Things Impact on Crime and Law: A Research Report

This report delves into the influence of the Internet of Things (IoT) on crime and legal systems. It begins with an introduction to IoT, highlighting its potential for achieving organizational goals efficiently. The research investigates the meaning and concept of IoT, exploring its techniques for crime detection and applications in community safety and crime prevention. The study formulates hypotheses regarding the relationship between IoT, crime, and law. The methodology employs a descriptive research design, utilizing both primary and secondary data collection methods, including surveys and interviews. The report reviews relevant literature, discussing biometric identification, alcohol consumption, and IoT technologies in crime detection. Variables such as IoT (independent) and crime/law (dependent) are examined. Data collection involves simple random and judgmental non-probability sampling techniques. The study concludes with references to support its findings. This research report is available on Desklib, a platform providing AI-based study tools for students.

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Introduction
• Background, context, overview
• IOT could lead organization for the accomplishment of desire
goal in limited time and cost.
• The internet of things may be defined as a network of physical
devices, home appliances, vehicles, and other items
embedded with electronics, sensors, software, and
connectivity which enable these things to connect exchange
and collect data

Cont…
• Purpose of the study
• The key purpose of this research is to address the role of the
internet of thing in crime and laws.

Summary of Research Questions and
Purpose
The following research questions will be accomplished by the researcher to
meet the aim of this study:
• What is the meaning and concept of the internet of things
• What are the IOT (internet of things) techniques for crime detection?
• What are applications of IOT (internet of thing) in community safety and
crime prevention?
• Hypothesis
• Hypothesis 1
• H0: There is no significant association between Internet of Thing and crime
• H1: There is a significant association between Internet of Thing and crime
• Hypothesis 2:
• H0: There is no significant association between Internet of Thing and law
• H1: There is a significant association between Internet of Thing and law

Cont…
• Definition of the paradigm and methodology
• The key purpose of this research is to address the role of the
internet of thing in crime and laws.
• In this research, the researcher will use the descriptive
research design method to collect the information in the
context of the current research matter.

Summary of Relevant Literature:
• According to Rathore et al. (2016), biometric identification
contains the technique for distinctly addressing human as per
the over one behavioral and physical traits.
• In contrast to this, Zawoad and Hasan (2015) stated that as per
the medical council of research, South Africans consume over
5 billion liters of alcohol in each year.

Cont…
• Gandhi et al. (2018) addressed that IOT technologies aid in the
detection of crime. In this way, it is addressed that emotion
sensing is attached in the body of the individual.
• In contrast to this, Ienca and Haselager (2016) stated that
emotion controlling is held accountable for capturing the
emotion of individual and transfer the feedback to the server
after developing the received information in the unit of human
heartbeats and temperature.

Summary of Methods, Methodology and
Data Collection
• Variables used and relations between variables
• Through this, the independent variable is the internet of thing
while the dependent variables are crime and law.
• It demonstrates the crime and law could be dependent on the
internet of things (Machaka, and Nelwamondo, 2016).

Cont…
• Data collection and measurement tools
• For conducting this research, the researcher will both a primary
as well as secondary data collection technique to collect the data
in the context of research issue like primary and secondary data
collection method.
• Further, the primary information gathering process or tool will
be used by the investigator as it would assist to obtain first-hand
data in the context of current research issues like survey through
a questionnaire, and interview method.
• Moreover, there are certain sources that could be practiced by
the research at the time of collecting the information about the
research matter like academic publications, online articles,
government publication, journal articles, and textbooks (Ding,
et. al., 2018).

Summary of any other
considerations/aspects of the research
• Through this, a researcher will practice the simple random
sampling technique to collect opinion and views of the
research candidates towards the research matter.
• Apart from this, judgemental non-probability sampling
technique will be practiced by the researcher to conduct
interview method for selection of current research matter.

References
• Rathore, M.M., Ahmad, A., Paul, A. and Rho, S., 2016. Urban planning and building
smart cities based on the internet of things using big data analytics. Computer
Networks, 101, pp.63-80.
• Zawoad, S. and Hasan, R., 2015, June. Faiot: Towards building a forensics aware
ecosystem for the internet of things. In 2015 IEEE International Conference on Services
Computing (SCC) (pp. 279-284). IEEE.
• Ienca, M. and Haselager, P., 2016. Hacking the brain: brain-computer interfacing
technology and the ethics of neurosecurity. Ethics and Information Technology, 18(2),
pp.117-129.
• Gandhi, U.D., Kumar, P.M., Varatharajan, R., Manogaran, G., Sundarasekar, R. and Kadu,
S., 2018. HIoTPOT: surveillance on IoT devices against recent threats. Wireless personal
communications, pp.1-16.
• Machaka, P. and Nelwamondo, F., 2016. Data mining techniques for distributed denial of
service attacks detection in the internet of things: A research survey. In Data Mining
Trends and Applications in Criminal Science and Investigations (pp. 275-334). IGI Global.
• Ding, G., Wu, Q., Zhang, L., Lin, Y., Tsiftsis, T.A. and Yao, Y.D., 2018. An amateur drone
surveillance system based on the cognitive Internet of Things. IEEE Communications
Magazine, 56(1), pp.29-35.