Hi,
please find the attached doc and I wanted you to read and write the paper with no plagiarism and with your own words(10 pages and extra page for references). Also please extend the content based on the topic(Internet Of Things (IOT) Cybersecurity based on the Hybrid Cryptosystem) other than the content in the attached doc and please use APA format. Research on the topic and include scholar articles only and also should not be older than 5 years
We wanted this by 03/22/2020 8AM EST
InternetOf Things (IOT) Cybersecurity based on the
Hybrid Cryptosystem
Ming-Shen Jian*, Yu-En Cheng, Chen-Han Shen
Cloud Computing and Intelligent System Lab., Department of Computer Science and Information Engineering
National Formosa University, Taiwan
jianms@nfu.edu.tw* , f09789456123@gmail.com
Abstract— Since the Internet Of Things (IOT) are generally used,
the data or information transferred between IOT devices and
servers should be secured. In this research, hybrid cryptosystem
based on the shared-key and asymmetric cryptography (or called
Public-key cryptography) is proposed. According to the network
communication, MAC address information of the IOT device is
used for public-key querying and exchanging. Via asymmetric
cryptography, the shared key can be automatically exchanged
between IOT device and server. The implementation shows the
feasibility of the proposed hybrid cryptosystem which could
secure the data.
Keywords—Internet Of Things, Information Security, Network,
Identity, Cryptography
I. INTRODUCTION
Internet Of Things (IOT) today is popular and generally
used today [6]. By using various sensors with the network
connection, the intelligent services, customized services,
environment data collection, even the indoor location
detection for the augmented reality [3,10] can be enhanced
and developed. Due to the collected data from the various IOT
sensors, all the corresponding information or data can be
evaluated and further managed by the intelligent systems.
Suppose that the IOT elements can be divided into two
partitions: sensor component and network component. The
sensor component can be used to detect and collect the value
of the environment parameters. The network component is
used to transmit and exchange the data between the server and
IOT element via network. Therefore, considering the various
types of the sensors and the configuration of the network, to
develop and implement the IOT system with network is not
easy for general public. In other words, the cost and human
resource will be needed and increased when the IOT system is
deployed. It also means that the professional IT knowledge
required for deploying the IOT system should be reduced then
the IOT system can be more generally used.
Currently, the various types of sensor components which
embedded with Arduino, Raspberry Pi, etc., are generally used.
By programming the code of the tiny embedded system,
different sensors such as ultrasonic sensor, infrared sensor,
photosensitive sensor, etc., can be connected to the embedded
system (ex. Arduino)[3]. The detected data or information can
be transmitted to the embedded system based on the on
demand defined program. Then, based on the network
component, this IOT element can be connected to the network.
According to the framework of the network, each network
component will equip the unique media access control (MAC)
address. As people all know, the MAC address is the unique
identifier assigned to individual network interface controllers.
Therefore, based on this unique ID number (MAC address)
which is similar to the Electronic Product Code (EPC), each
IOT element can be identified [2] individually. According to
the concept of the EPC Global, all the trade items or objects
will be assigned the individual and unique ID number. Via the
EPC network, this unique ID number can be used as the
network URL link address. By tracing the unique ID number,
the corresponding factory or manufacture of the object can be
found. In other words, similar to the driver downloading or
updating, by using the unique ID number, the driver or
function can be found for each IOT element through querying
the driver database of the manufacture. In other words, each
IOT element can be identified. Individual IOT elements can
be differentiated from each other.
However, considering the real implementation of the IOT
systems, most IOT elements exchange or transmit the data by
using the wireless network such as ZigBee, Bluetooth, Wi-Fi,
LoRA, etc. All the detected data of the environment from the
IOT elements will be sent via network. In other words, the
data related to the privacy, local environment, even the secret,
may be dangerous during the transmission. Furthermore, the
IOT elements may be removed or re-located from one location
to another. Not only the network transmission but also the
valid network accessing should be considered [5,8]. One IOT
element can access the network in one area but not in another.
Therefore, to manage the corresponding area of IOT elements
which are valid or not for the network accessing is also
important for cybersecurity.
However, the IOT elements may connect to the network
wirelessly. The security of wireless signal is not easy to
maintain. The ―eavesdrop,‖ ―spoofing,‖ and ―falsification‖
may happen when transmit the message via network [9].
In the past, various cryptosystems were proposed the secure
and encrypt the wireless signal and data packets. Some
cryptosystems require the assistance of complex computing.
Currently, the IOT elements can only provide the embedded
computing system with low power consumption and limited
computing performance. In other words, to implement
complex cryptosystems for IOT elements is difficult. To
embed the same cryptosystem into various IOT elements for
different users is not safe, either. Hence, considering the
differentiation of IOT elements, the cryptosystem or encrypt
method based on the information of individual IOT element
can be the possible. Since there is the network component of
each IOT element, the cryptosystem based on the MAC
address [4] of the network component and the information of
sensor component can be the solution.
The contributions of this research are:
Based on the components of IOT element, the unique MAC
address and the IOT sensor information can be used to
implement the cryptosystem for the wireless or wire data
transmission. Each IOT element can be identified and
differentiated. Therefore,
1) Even the same type of IOT elements can be
differentiated and distinguished according to the
corresponding network MAC address and the
information from the manufacture. The IOT element
related information can be traced also based on the
MAC address. In other words, the identification of
individual IOT device and corresponding information
obtaining can be achieved.
2) According to the identification information of
individual IOT element, the encryption method of the
cryptosystem can be defined independently and
individually. In other words, different IOT elements
can be assigned different encryption key based on the
same cryptosystem. The security of data transmission
can be enhanced.
3) Due to the unique MAC address, the information
exchanging between the local IOT element
management server and remote manufacture can be
done automatically similar to the EPC Global network.
Hence, the network managers or system users only
need to decide the valid network accessing area of the
IOT elements. The workload and cost for managing the
IOT elements and maintaining the cryptosystem can be
reduced.
The rest of this research is organized as follows. Chapter 2
will introduce the related technologies used in this research.
The whole proposed infrastructure and system is presented in
Chapter 3. The conclusion will be given in Chapter 4.
II. RELATED WORK
A. Identification for Internet Of Things (IOT) elements
Today, most IOT elements equip two components: sensor
component and network component. Network component is
used for the network connection. Then, the data or information
can be exchanged between IOT elements and hosts [6].
However, the network configuration such as IP address should
be on demand given to the individual equipment before
connecting to the network.
In the past, the network administrator or manager should
identify individual equipment first. Then, according to the
identification results, network manager can configure and
arrange each network equipment or device individually such
as IP address assignment, network environment configuration,
etc. Considering the real implementation of IOT system, there
will be huge amount of various IOT elements deployed in the
environment. The cost and time consumption will be increased
very quickly. Therefore, to automatically identify individual
IOT element when arranging the network configuration is
important.
Suppose that the IOT elements are connected to the
embedded system such as Raspberry Pi. The sensor
component of the IOT element with the limited memory may
provide the device description similar to the description of
USB device. In other words, according to the device
description, the IOT element can be the ―Plug & Play‖ device
for the IOT systems or services. However, considering the
physical system implement, to deploy the IOT elements and
systems with the wire line including USB connection [2],
power line connection, network connection, etc., is not easy.
In other words, the network will be the wireless connection.
To obtain the corresponding information from the IOT
elements automatically for identification becomes an
important issue.
Today, electronic product code (EPC) is generally used in
supply chain application [1]. By assigning the unique EPC
number to individual object or trade item, this unique EPC
number can be used instead of the object itself. The EPC
number includes the manufacture number (EPC manager
number), classification number, and serial number to indicate
individual object. In other words, according to the EPC
number, the manufacture or type of each object can be
differentiated. In addition, based on the EPC number, the
corresponding information can be traced and tracked through
the EPC network. In other words, by using the EPC
identification number, the object can be identified according
to the information through the EPC network. Therefore,
different members of the supply chain can share the
information with each other.
Figure 1. EPCGlobal Architecture Franework [1]
Since the IOT element includes the network component
with the unique MAC address, if the network component is
not separable, this unique MAC address of the network
component can be used similar to the EPC number to indicate
the individual IOT element itself.
In addition to the MAC address, the sensor component of
IOT device can record the device information such as device
description file. Currently, the Universal Serial Bus (USB) is
also a world popular connection standard for the
communications between devices. Different devices can
exchange the device related information and obtain power via
USB connection. Therefore, the plug-in USB electronic
devices can provide the corresponding information such as
device description driver, data, etc., to the connected master
host or device. Finally, the master host or device can identify
individual USB device and active (control) the corresponding
device.
B. Security
Today, considering the information protection, many
security algorithm and methods are proposed. To secure the
information, the content of the message can be encrypted
when the information sender and receiver use the same
security code (key) to encrypt and decrypt the same message
or information, the content can be secured and obtained
between sender and receiver. Considering the implementation
and using of IOT, huge amount of information will be
exchanged between sensors through the Internet [8]. To secure
the messages with less computing power or less power
consumption of each IOT device becomes an important issue
[11].
If the information is exchanged and transmitted directly
through the network, the malicious third party can eavesdrop
the packet or message transmitted. Without encryption, all the
content of the message can be known by the malicious third
party. Therefore, to encrypt the information or content of the
message packer is needed. Hash functions such as Message
Digest Algorithm 5 (MD5), Secure Hash Algorithm (SHA-2),
etc., for encryption are the generally used. By using the same
hash function, different terminals with the same input value
can obtain the same hash code. In addition, the malicious third
party cannot recover the original content according to the hash
code.
Considering the real implementation, the most types of
network used IOT environment is wireless network. In other
words, the spoofing and falsification security issues may
happen. Therefore, digital signature was proposed for the
information exchanging related to the spoofing and
falsification security issues. Shared-key encryption such as
advanced encryption standard (AES), or data encryption
standard (DES) can be the possible to secure the data content
of the message packet. However, using the shared-k
ey
encryption, the encryption key should be exchanged between
sender and receiver. It means that the shared key may be
peeked by the malicious third party. To enhance the security,
the public-key cryptosystem, also called asymmetric
cryptosystem, was proposed. By using the public key for
message packet encryption, receiver can use the secret-key to
decrypt. For example, the RAS cryptosystem is the popular
encryption method. However, if the malicious third party can
send the malicious third party made public key instead of the
original public key of receiver. Then, the sender would use the
wrong public key to encrypt the message packet. In other
words, by ―man-in-the-middle attack‖ method, the malicious
third party can peek all the content from the data sender.
Today, to quickly obtain the content of message packet
with better security is important. By using the shared-key
cryptosystem, sender and receiver would use the same
encryption key for message packet security. In addition, the
performance of the message decryption can be faster. To
transfer the shared key, the public key cryptosystem can be
used to protect the information of shared key.
III. PROPOSED SYSTEM
According to the Internet of Things implementation, most
sensors would be located at the fixed positions or area and
exchange the messages wirelessly. However, the wireless
signal would be transmitted in all directions. In other words,
other invalid receivers may have the messages sent from the
IOT devices. Therefore, secure the messages and transmit the
data through the valid network via configuring the network is
an important issue. Considering the real verification, the
Internet Of Things (IOT) Cybersecurity Based on the
integration of Self-identification with Cryptosystem and
Software Defined Network is proposed which includes Self-
identification Procedure and Cryptosystem and Cybersecurity
of IOT. The flowchart of initial configuration corresponding
to individual IOT device can be shown as follows.
A. Self-identification Procedure
In the beginning, each IOT device will check its network
configuration. If there is no network configuration information,
it means that the IOT device may be new connected to the
local area network. Therefore, this new added IOT device
should registered itself. First, considering the development of
IOT device, the network module will be embedded as the part
of IOT component. In other words, there will be a MAC
address assigned to the network module. Since the MAC
address should not be repeatedly used, it means that this MAC
address can be used to identify the IOT device itself. Similar
to the EPCglobal network, this MAC address can be also used
to find and trace the original manufacture. Considering the
possible tapping, in this research, two different MAC
addresses are assumed and supposed to be assigned to one
IOT device: broadcasted MAC address and network address.
The broadcasted MAC address will be used during
initialization for network configuration exchanging and the
identification.
If the broadcasted MAC address received from the IOT
device is correct, the proposed local service server or system
can query the public key from the database of the manufacture.
In opposition, the unique private key is already recorded in
individual IOT device.
When the client management system or third party system
queries the public key related to the broadcasted MAC address
of the IOT device, the information server of manufacture can
reply the corresponding public key to the client management
system or third party system. Furthermore, since the
broadcasted MAC address of the IOT device (or the
corresponding public key) is queried, the server of
manufacture will mark the public key as used. In other words,
the public key cannot be repeatedly used.
In other words, according to the broadcasted MAC address,
each IOT device can be individually identified. The
administrator can differentiate each IOT device according to
the individual broadcasted MAC address. It also means that
every IOT device can be also identified due to the broadcasted
MAC address. Furthermore, the corresponding public key can
be also managed according to the query which comes from the
client system.
In addition to the corresponding public key, the type and
function of the specific IOT device can be also identified. The
driver or configuration data can be also exchanged between
the client management system or third party system and the
manufacture server. Therefore, the information updating or
upgrading corresponding to the individual IOT device can be
achieved according to the result of self-identification.
B. Cryptosystem and Cybersecurity of IOT
Considering the cybersecurity of each IOT device, two step
security methods, same encryption key (Shared Key
Cybersecurity) and public-key cryptosystem (Asymmetric
Cryptosystem), are both used in this research. According to
the self-identification procedure result, the public key from the
manufacture server can be obtained. In addition, each IOT
device was already assigned a private key by the manufacture.
In other words,
Therefore, in the beginning, the service server cannot
obtain the information except the MAC address. Based on the
Asymmetric Cryptosystem, the on demand embedded private
key of the individual IOT device can be used to transmit the
encrypted ―shared key‖ between IOT device and the service
server. In other words, without the public key, the ―shared
key‖ cannot be obtained at the client side. Therefore, based on
the self-identification result, the public key can be obtained
for the IOT device. Therefore, the ―shared key‖ which is
encrypted by the private key can be transmitted to the service
server with security. In opposition, the invalid users cannot
obtain the public key since the information packet is secured.
To reduce the risk of tapping, the time limitation of the MAC
address broadcasting and network configuration can be on
demand given. In other words, the network administrator
should assign the IP related information to the IOT device
within the limited time. Otherwise, additional time period
delay will be required for another MAC address broadcasting
and network configuration. Since additional time period delay
can be assigned randomly or manually (presented in the guide
book, etc.), the risk of tapping can be reduced.
After the configuration of network and the public key
querying, the ―shared key‖ which is on demand embedded in
the IOT device can be exchanged to the service server. At last,
all the information can be secured and exchanged based on the
―shared key‖. In other words, based on the proposed
Cryptosystem and Cybersecurity of IOT, the Shared Key
Cybersecurity and Asymmetric Cryptosystem are both used
for security. Only the MAC address information in the
beginning will be transmitted without encryption. Therefore,
all the information packets exchanged between the IOT
devices and service server will be secured according to the
corresponding ―shared key‖. The security of the IOT
implementation can be enhanced.
Instead of the Asymmetric Cryptosystem based on the
private key and public key, the common ―shared key‖ is used
to transmit the data between IOT device and the service
server.
Based on the Shared Key Cybersecurity, the same encryption
key can be both used in IOT device and service server.
Without the private and public key pair, the encryption and
decryption of the transmitted packet can be faster. In other
words, the time delayed can be reduced.
The proposed Cryptosystem and Cybersecurity of IOT can
be shown as follows. During the Self-identification procedure,
the local service server can obtain the on demand defined
public key stored in remote manufacture server. Based on this
obtained public key, the secured ―shared key‖ can be
decrypted and recorded in the local service server. In addition,
since the network of the IOT device is also configured, the
MAC address and the encrypted ―shared key‖ will be no
longer transmitted. In opposition, only the data which is
secured and encrypted by the shared key will be transmitted
through the network.
In other words, there will be three steps of security method
for the IOT devices: 1) Asymmetric Cryptosystem based on
the private key and public key will be used to protect the
common ―shared key‖. In addition, only the broadcasted MAC
address can be used to find the corresponding public key. 2)
Shared Key Cybersecurity based on the individual ―shared
key‖ will be used to secure the information or data transmitted
between IOT devices and service server. In other words, each
IOT device can be assigned an individual ―shared key‖ for
enhancing the security. Especially, this ―shared key‖ is
already secured and not public due to the symmetric
Cryptosystem. 3) Manual operation of the network
configuration. When an IOT device is new added into the
local network, the IP corresponding to the correct sub-network
will be assigned. In other words, the broadcasted MAC
address will be only transmitted within the manual operation
time. After network configuration, the broadcasted MAC
address will no longer broadcasted. It means that the invalid
user cannot have the chance to gain the public key.
Figure 2 presents the sequence between IOT device, service
server, and manufacture server. In the beginning, the IOT
device should broadcast its own MAC address to the local
area network manager (such as router or service server). By
receiving the MAC address, the service server can query the
related data from the manufacture server through the Internet
similar to the EPCIS and object name service (ONS) defined
by the EPC Global [1]. In addition to querying the
corresponding information, the IP can be assigned to the IOT
device via local area network (LAN). The time for MAC
address broadcasting can IP assignment will be on demand
limited. After querying, the service server and obtain the
public-key from the manufacture server based on the Internet.
Therefore, when the IOT device send the shared-key which is
secured by the private key through the local areas network, the
service server can obtained the shared key. Finally, the data
encrypted by the shared key can be transferred to service
server via local network with less encryption time delay.
IOT Device Service
Server
Manufacture
Server
Self-Identification
Related Data QureyingIP a
ddre
ss
Ass
ignm
ent
(TC
P/IP
)
“shared key” Encrypted b
y
Asymmetric Cryptography
Private Key (Network Packet)
“shared key”
Obtained
Data Encrypted by
“shared key” (Network Packet)
Self-Identification
MAC address
Asy
mm
etric
Cry
ptog
raph
y
Pub
lic-K
ey
Obta
ined
thro
ugh
Inte
rnet
Figure 2. Sequence between IOT device, service server, and manufacture
server.
C. Implementation
To verify the Cryptosystem and Cybersecurity of IOT
device, Arduino with sensors and Raspberry Pi are used.
There will be two on demand given security keys: private key
and the shared key. After receiving the MAC address from the
Arduino, the corresponding public key can be obtained from
third server (emulating the server of manufacture). Then, the
encrypted common key can be obtained at the service server.
Finally, the data exchanging between the IOT device and local
service server can be secured.
In addition, to enhance the security of the data exchanging
between IOT devices and local service server, additional
procedures for data encryption will be needed. In the
beginning, the Asymmetric Cryptosystem based on private
key for the shared key encryption will require about 0.198
seconds for public key decryption. This time delay will
happen only once when IOT device and local service server
exchange the shared key. In other words, by using the
Asymmetric Cryptosystem for the shared key (command key)
protection, only the addition time delay will be needed once.
In the implementation, the private key of Asymmetric
Cryptosystem is 751 Bytes. The public key of Asymmetric
Cryptosystem is 498 Bytes. The length of the shared key is
154Bytes.
Figure 3. A example of Asymmetric Cryptosystem for encrypting Shared
Key Cybersecurity
IV. CONCLUSIONS
According to the proposed system, the exchanged data from
the IOT devices can be hiding and secured by the two steps of
Cryptosystem methods. Although the addition tiny time will
be required for encryption, the information can be secured
with less manual operation. By using the self-identification
method, the security and key can be automatically exchanged.
Only the corresponding network address will be assigned by
the router or according to the manual operation. The IOT
devices and service system can be managed with higher
security.
ACKNOWLEDGMENT
Thanks for the support of Cloud Computing and Intelligent
System Lad. of National Formosa University.
REFERENCES
[1] EPCGlobal website. [Online]. Available:
https://www.gs1.org/epcglobal
[2] M.-S. Jian, J.-Y. Wu, J.-Y. Chen, Y.-J. Li, Y.-C. Wang, H.-Y. Xu,
―IOT base Smart Home Appliances by using Cloud Intelligent Tetris
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[3] A. S. Ali, Z. Zanzinger, D. Debose, B. Stephens, ―Open Source
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platform for long-term indoor environmental data collection,‖ Building
and Environment. Vol. 100: 114–126. 2016
[4] C. B. Westphall, C. M. Westphall, J. Werner, Daniel Ricardo dos
Santos, ―Security in the Context of Internet of Things, Cloud, Fog, and
Edge,‖ IWCSS 2017, Dec. 2017. (DOI: 10.13140/RG.2.2.20008.67841)
[5] Z. Yan, P. Zhang, A.V. Vasilakos, ―A survey on trust management for
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DOI: 10.1016/j.jnca.2014.01.014.
[6] L. Xu, W. He, S. Li, ―Internet of things in industries: a survey.‖ IEEE
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[7] Wireless LAN Medium Access Control (MAC) and Physical Layer
(PHY) Specification, IEEE Std. 802.11, 1997.
[8] T. Heer, O. Garcia-Morchon, R. Hummen, S.L. Keoh, S.S. Kumar, K.
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th
EHAC’15, Sept. 2015.
Ming-Shen Jian was born in Kaohsiung City,
Taiwan in 1978. He received the B.S. from the
National Chiao Tung University, HsinChu, and Ph.D
degrees in Computer Science and Engineering from
the National Sun Yat-sen University, Kaohsiung,
Taiwan in 2007.
From 2009, he was a Assistant Professor and director
with the National Formosa University Cloud
Computing and Intelligent System Laboratory. Since
2009, he has been an Assistant Professor with the Computer Science and
Information Engineering Department, National Formosa University. He is the
author of four books, more than 50 articles, and at least 15 invention patents.
His research interests include IOT development and application, Big Data,
Optimal Solution, Intelligent System, and Cloud Computing. He was a
Secretary of the Taiwan Association of Cloud Computing.
Dr. Jian was a recipient of the IEEE sponsored international conference Paper
Award in 2016, 2017, and 2018.
Yu-En Cheng is a master degree student of Dept.
Computer Science and Information Engineering at
National Formosa University. Her current research
interests are in the area related to IOT and Information
security. She received B.S. degree at Computer
Science and Information Engineering at I-Shou
University, 2017. Her current research interests include
Internet Of Things and Cryptography.
Chen-Han Shen is a master degree student of Dept.
Computer Science and Information Engineering at
National Formosa University. His current research
interests are in the area related to the integration of IOT
system and Cloud Computing. He received B.S. degree
at Computer Science and Information Engineering at
National Formosa University, 2018. His current research
interests include Cloud Computing, and Intelligent
System.
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