Research Paper on Cyber Security in Industry 4.0: The Pitfalls of Having Hyperconnected Systems - Programming
Start working on an individual research paper , This will be approximately 14 pages, single spaced. and at least 15 references. No more than 18\% can come up as plagiarized.Topic selection is Cyber Security in Industry 4.0: The Pitfalls of Having Hyperconnected Systems can be found at https://www.jstage.jst.go.jp/article/iasme/10/1/10_100103/_pdf. APA citation is the following. Dawson, M. (2018). Cyber Security in Industry 4.0: The Pitfalls of Having Hyperconnected Systems. Journal of Strategic Management Studies, 10(1), 19-28. Additional research topics may be provided. Final paper submission is to an academic journal.Include: No plagiarism should be APA formatted content should be unique references
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Journal of Strategic Management Studies
Vol. 10, No. 1, 19–28 (October 2018)
doi: 10.24760/iasme.10.1_19
Cyber Security in Industry 4.0:
The Pitfalls of Having Hyperconnected Systems
MAURICE DAWSON
Assistant Professor, School of Applied Technology, Illinois Institute of Technology
Abstract
The fourth industrial revolution is referred to as Industry 4.0. The current trend with manufacturing is automation and unparalleled levels of data exchange. To bring this trend to realization requires
integrating the Internet of Things, Internet of Everything cyber-physical systems, cloud computing
technologies, and more into manufacturing. Industry 4.0 involves a hyperconnected system that includes the smarter use of robotics to effectively and efficiently move to manufacture to new heights.
With the use of all these technological systems, it is imperative to ensure that cyber security plays
a role during the rise of this digital industrial revolution. In the United Kingdom, more than eighty
manufacturing plants were hit by cyber attacks while threats in this specific industry have risen. The
pitfalls of having hyperconnected systems leave an entire industry even more vulnerable than the traditional enterprise system design.
Keywords:
cyber security, risk management, internet of things, hyperconnectivity
tion occurred in Britain over the century 1750–1850
(Deane, 1979). This was when the theory of economic development took root, and specialized activity for production for national and international
markets rose. The Second Revolution is known as
the technological revolution. This period was near
the end of 19th century through the beginning of the
20th century. During this revolution, we received
inventions such as airplanes, Henry Ford’s Model
T, light bulb, and telegram. This period introduced
mass production which has been altered by experts
in supply chain and logistics today to equip manufacturing companies to produce to meet supply and
demand. The Third Industrial Revolution was from
1969 to 2000. These three industrial revolutions are
depicted in FIGURE 1.
Manufacturing is undergoing another revolutionary change, and that is paving the way for systematical deployment of Cyber-Physical Systems (CPS)
(Lee, Bagheri, & Kao, 2015). CPS is an integration
of networking, physical processes, and embedded
computers that are tightly integrated with the Internet. This change is known as the Fourth Industrial
Revolution, and it does not arrive without cyber se-
INTRODUCTION
The landscape of manufacturing has changed,
and this has allowed attackers unparalleled access
to data unlike before. Nearly eighty-five participants
in a survey reported falling victim to a cyber attack
in the United Kingdom (U.K.) (Ambrose, 2018).
The worry is that Russian hackers and other nation
states are gaining entry into protected networks.
Currently, there are well-documented attacks on
Supervisory control and data acquisition (SCADA)
systems throughout North America and Europe. A
survey conducted by researchers shows the methods
of operations, impact, and target sectors (Miller &
Rowe, 2012). Essentially all incidents were classified with the following to include showing the year
of the attack. Within the summary of incidents, you
can see the earliest attack is 1982 on the Power of
Siberia pipeline (Miller & Rowe, 2012). This shows
that manufacturing has been a target for attackers for
over two decades.
To understand the current state of manufacturing,
it is vital to understand the history of the previous
industrial revolutions. The First Industrial RevoluCopyright © 2018 by International Academy of Strategic Management
19
Vol. 10, No. 1 (October 2018)
Reprinted from Industry 4.0, by Wikipedia, June 30 2018, retrieved from https://en.wikipedia.
org/wiki/Industry_4.0. Licensed under CC Attribution-ShareAlike License.
FIGURE 1
Industrial Revolutions
and that there is a market of $14.4 trillion. This
white paper urges business leaders to transform their
organizations based on key learnings to be competitive for the future (Evans, 2012). As this new wave
of Internet-enabled technologies arrives, it is imperative to understand the security and privacy concerns
fully (Thierer, 2015). Understanding these concerns
also means understanding how to apply security
controls to systems appropriately. Addressing security objectives appropriately will allow for risks to
be mitigated. This means following the principles of
security to ensure cyber security posture is achieved.
All of these connected devices using proven standards, policies, and guidance can help with the ease
of integrating these technologies into everyday life.
Currently, there is a lack of guidance for securing
IoT, Internet of Everything (IoE), and Web of Things
(WoT) as a cohesive unit; however, there is appropriate documentation available through the National
Institute of Standards and Technology (NIST), Federal Information Processing Systems (FIPS), Department of Defense (DoD), Institute of Electronic and
Electrical Engineers (IEEE), International Organization for Standardization (ISO), Defense Information
Systems Agency (DISA) Security Technical Implementation Guides (STIGs), and more. It is essential
for the security engineer to understand how to protect these devices individually and then understand
how the devices become more vulnerable when con-
curity with technological implementation. While
technology is the United States (U.S.) has been years
ahead of the laws providing protection and governance meanwhile the government are continuously
playing catch up (March & Smith, 1995). Understanding the various technological architectures in
this connected environments provides an insight into
the issues surrounds this new revolution.
INTERNET OF THINGS
The Internet of Things (IoT) describes a world in
which smart technologies enable objects with a network to communicate with each other and interface
with humans effortlessly. This connected world of
convenience and technology does not come without
its drawbacks, as interconnectivity implies hackability. This new world of convenience calls for
revolutionary protection strategies to reassess security. Risk management concepts and Information Assurance architecture similar to those practiced in the
United States Department of Defense (DoD) should
be used as guidelines for cyber security implementation. This new emerging market that is facilitating
the exchange of services and goods requires understanding the associated laws for the implementation
of an IoT architecture (Weber, 2010).
Researchers at Cisco Systems estimate that over
99 percent of physical devices are still unconnected
20
Cyber Security in Industry 4.0: The Pitfalls of Having Hyperconnected Systems
alerts for downtime. Having embedded OS allows
for devices to be transformed for computing functionality beyond essential functions. This would include the ability to capture more data that allows for
managers to see production status, gain insight on
usage patterns, and from this data make decisions.
A manager could make decisions that allow them to
make decisions based upon product performance in
the assembly line such as replacement or the need to
add additional equipment. The data would include
information such as Global Positioning Systems
(GPS) tags that provide the exact location of equipment that needs to be further examined to review
point of origination.
FIGURE 2 displays how IoT looks in manufacturing and all the different situations where IoT can
be applied. What is not displayed is the negative
concerns around using IoT. Since all these systems
are connected to so many other systems through Internet, Bluetooth, or another method of communication it is necessary to ensure the secure transmission
of data. At the current time, there are a few documents that provides the guidance for securing the
systems in the manufacturing environment. This is
an issue as the industrial revolution is rapidly taking
root in manufacturing.
nected. Mobile devices would need to be hardened
with appropriate security controls for compliance
(Dawson, Wright, & Omar, 2015). Encryption would
need to be on devices that have IoT capabilities
such as refrigerators, televisions, or smart watches.
This would allow the protection of data in transit
and at rest. The recommended guidance would be
to use an approved public algorithm and not a weak
algorithm. The classification of weak and robust algorithm change over time thus it is essential to keep
abreast of the changes in cartographic algorithms.
Access controls would need to be placed to ensure
that other users within the hyperconnected system to
do not have the ability to elevate privileges through
lateral movement within a network (Dawson, 2017).
INTERNET OF THINGS IN
MANUFACTURING
IoT in manufacturing is part of this Industrial
Revolution 4.0, and this concept has a significant
impact. For the manufacturing plant, one can monitor production to apply lean principles for waste
management while being able to see inventory
changes in real time. The implementation of IoT
allows for Built-In Test (BIT) alerts, maintenance
Reprinted from Internet of Things (IoT), by Andrej Tozon, 2015, retrieved from https://www.slideshare.net/andrejt/ntk2015-internet-of-things-track-iot-smart-home. Licensed under CC Attribution-ShareAlike License.
FIGURE 2
Internet of Things in Manufacturing
21
Vol. 10, No. 1 (October 2018)
to IoT, WoT, and IoE with consideration for the application of these architectures in the commercial
sector. All these architectures allow for hyperconnectivity while at the same time it is critical to understand the changing threat landscape (Badonnel,
Koch, Pras, Drašar, & Stiller, 2016).
When an organization allows BYOB being to be
used in a manufacturing setting it must be realized
that yet another device is going unchecked into the
system, effects of various attacks such as Distributed
Denial of Service (DDoS), replicating worms, and
calculated virus that are activated based upon specific system configuration (Singh, 2012; Brooks, 2017).
As the consequences of security problems ranging
from personal injury to system downtime the need
for secure environments (Chahid, Benabdellah, &
Azizi, 2017). So having a manufacturing floor with
multiple IoT devices means there are lots of data that
can be captured with relative ease. With applications
such as Wireshark, it is relatively easy to capture
data on an unsecured network. Wireshark is a software application that not only a laptop but also a
mobile device or RaspberryPi for penetration testing
(Muniz & Lakhani, 2015). The amount of detailed
captured through Wireshark is astounding and revealing much about the network (See FIGURE 3) .
In FIGURE 4 displayed is 500,000 packets captured from one device on a network. Understanding
the origination, destination, and types of network
protocols are currently in use enable an attacker to
know what to attack precisely. This scenario could
also include knowing the destination as it could be
used to develop man in the middle attacks. The data
captured through a system can be revealing and help
an attacker understand the attack surface in detail.
Provided in network scans are the open ports and
the closed ports, disabling, and identification of unpatched applications. This informs the attacker there
was no system hardening done before the deployment of the system on the network and perhaps that
the organization has a lack of security policies that
address secure system configuration before going
live (Creery & Byres, 2005).
Secure computing is essential as technological environments continue to become intertwined and hyperconnected. The policies to properly secure these
new environments must also be explored as many
of the security controls found within guidance such
as the DoD focuses on singular systems and components (Dawson, Crespo, & Brewster, 2013). There
needs to be the creation of new controls that review
embedded sensors, body modifications, and devices
that entirely take advantage of Internet-enabled technologies. With the emergence of these technologies,
the possibilities are endless; however, there will be
new vulnerabilities unexplored.
CYBER SECURITY ISSUES IN
TECHNOLOGICAL DEVICES
As the next era of computing will be outside of
the traditional desktop and into embedded systems
and smaller devices are targets for attacks (Gubbi,
Buyya, Marusic, & Palaniswami, 2013). When you
consider, Bring Your Own Device (BYOB) as a radical step, imagine using a device such as a refrigerator that contains an embedded computing device to
track the number of groceries within. This integrated
device would allow access to email, weather, and
other devices that enable connectivity through WiFi,
or some Application Programming Interface (API)
to a web-based application. Thus, the data collected
would be weather, thermostat cooling patterns, foods
purchased, the cost of items per month, average consumption, and more. This massive amount of data
provides the ability for an attacker to gather intelligence unlike before. They can see schedules which
allow for them to analyze behavioral patterns view
dietary concerns that affect health, and more than
give information once though genuinely personal.
At the moment, organizations such as Cisco Systems
and others are pushing for WoT and IoT, but no one
has a plan for ensuring secured transmission is maintained during various modes of operation.
Additionally, the unknowing consumer of everyday products needs to be aware of what it means
to have sensors, Radio Frequency IDentification
(RFID), Bluetooth, and WiFi enabled products.
What further needs be explored is how Availability,
Integrity, and Confidentiality (AIC) can be applied
22
Cyber Security in Industry 4.0: The Pitfalls of Having Hyperconnected Systems
FIGURE 3 Wireshark Capture
FIGURE 4
Group-by Column: Protocol and Value Column: Destination
cess (Aljawarneh, Alawneh, & Jaradat, 2017). Thus
the implementation of policies, directives, and laws
that systems undergo Certification and Accreditation
(C&A) is mandatory. Implementing this allows for
all these systems to be routinely checked and meet
stringent initial cyber security controls before the
system goes live. (Ross, 2009). Essentially the in-
MANUFACTURING SYSTEMS
CERTIFICATION AND
ACCREDITATION
For Industry 4.0 to survive, it is necessary to
ensure security is being embedded into the system
from the beginning of the lifecycle through a pro23
Vol. 10, No. 1 (October 2018)
does not have ties to the organization undergoing
the C&A process. This process should be more of a
regulatory body that issues the letter for accreditation. Roles similar to that in the former framework,
Department of Defense Information Assurance
Certification and Accreditation Process (DIACAP),
should be implemented (Eller & Stauffer, 2000).
dustry would be required to implement a bare minimum of controls to protect the facility from physical
controls. In 2011, NIST published a Guide to Industrial Control Systems (ISC) Security that provides a
baseline for precisely this (Stouffer, Falco, & Scarfone, 2011). Contained in the document is how the
overall environment should be set up to maximize
cyber security to include specific recommendations for ICS. These documented guidelines would
mitigate attacks that are against the process, risk assessment, risk management, and the overall systems
development life cycle (Cárdenas et al., 2011).
A framework such as the Risk Management
Framework (RMF) should be used as a baseline to
enable organizations to have already defined controls. This activity is possible as NIST 800-53 provides details about the RMF which is a framework
created by the NIST to address risk management
(NIST, 2013). The RMF uses the risk-based approach to security control selection and specification
considering effectiveness, efficiency, and constraints
due to applicable laws, directives, executive orders,
policies, standards, or regulations. Six RMF categorization steps serve as the basis for this NIST guidance (NIST, 2013). Step 1: Categorize. The system
is assessed and categorized based on an impact analysis. Step 2: Select. During the period the organization must identify, select, customize, and document
the security and privacy controls required to protect
the system and the organization commensurate with
the risk to organizational operations and assets, individuals. These controls are to be addressed in the
design and are a result of high-level requirements
that are decomposed into lower level requirements.
Step 3: Implement. During this step, the controls selected in step 2 are deployed within the system to include the associated environment of operation. Step
4: Assess. The controls implemented are assessed
to see if they are working as intended, and that the
desired outcome meets the security requirements for
the system. Step 5: Authorize. Get authority for the
system to operate based upon an acceptable decision upon the acceptable risk for the system. Step 6:
Monitor. Continually assess the security control of
the system on an ongoing basis. The process should
include annual security checks to review compliance
and reporting to a third party for compliance that
CYBER THREATS AND INTELLIGENCE
GATHERING
With the potential threats of cyber terrorism affecting national and international security, the importance of security is elevated to greater heights
(Dawson, Omar, & Abramson, 2015). New threats
against national infrastructure and digital crime are
making researchers consider new methods of handling cyber incidents (Dawson & Omar, 2015). It
is imperative that if the government or commercial
sectors want to make use of these new technological Internet and Web-enabled architectures that they
are prepared to battle new threats. Countries could
target the ability to manufacture products where it is
for military or agriculture could significantly affect a
country’s Gross Domestic Product (GDP). Imagine
numerous factories used for producing foods for an
area known to have a significant amount of federal
employees. The food has the incorrect levels of nutrients and some items bypassing proper checks.
An entire county could be sick due to tampering of
equipment in a manufacturing center. If you consider
more high tech items, this tampering could lead to
essential checks not occurring in vehicle production that degrades the quality of the car. The lacks
of quality controls in the automatic process would
have dangerous results such as no checks on breaks,
power steering, windows, and onboard system diagnostics (Atamli & Martin, 2014; Amoozadeh et
al., 2015). The manufacturing floor could serve as a
place that allows an attacker not only to gather critical data from devices but inflict damage of any of
the products being produced.
During the Stuxnet, attack operators thought the
centrifuges were operating normally while the causing a meltdown and significantly slowing down the
process of Uranium enrichment (Langner, 2011).
The source code of this worm is available online and
24
Cyber Security in Industry 4.0: The Pitfalls of Having Hyperconnected Systems
and tools used to collect the data. Earlier in this
paper, the researcher showed half a million network
packets captured in only 15 min using Wireshark.
Data collection could be my means of OSINT,
Signals Intelligence (SIGINT), or running an application to map out the network and vulnerabilities.
The third stage, processing, and exploitation are performed with tools to automate the process. For the
fourth stage, the use of the R programming language
and Python could be used to perform data science
on the massive amount of data collected to analyze
data further. It can be everything from looking at
the captured metadata on photos, analyzing machine
behavior, and routing of information. In the final
stage, dissemination, this cou ...
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