Survey of Security and Privacy Issues of Internet of Things

Int. J. Advanced Networking and Applications
Volume: 6 Issue: 4 Pages: 2372-2378 (2015) ISSN: 0975-0290
2372
Survey of Security and Privacy Issues of
Internet of Things
*
TuhinBorgohain
Department of Instrumentation Engineering, Assam Engineering College, Guwahati-13
Email: borgohain.tuhin@gmail.com
Uday Kumar
Delivery Manager, Tech Mahindra Limited, India
Email: udaykumar@techmahindra.com
Sugata Sanyal
Corporate Technology Office, Tata Consultancy Services, Mumbai, India
Email: sugata.sanyal@tcs.com
* Corresponding author
----------------------------------------------------------------------ABSTRACT-----------------------------------------------------------
This paper is a general survey of all the security issues existing in the Internet of Things (IoT) along with an analysis
of the privacy issues that an end-user may face as a consequence of the spread of IoT. The majority of the survey is
focused on the security loopholes arising out of the information exchange technologies used in Internet of Things. No
countermeasure to the security drawbacks has been analyzed in the paper.
Keywords –Denial of Service, RFID, WSN, Internet of Things, DDoS Attack
-----------------------------------------------------------------------------------------------------------------------------------------------------
Date of Submission: January 10, 2015 Date of Acceptance: January 19, 2015
-----------------------------------------------------------------------------------------------------------------------------------------------------
1. Introduction
Building upon the concept of Device to Device (D2D)
communication technology of Bill Joy [1], Internet of
Things (IoT) embodies the concept of free flow of
information amongst the various embedded computing
devices using the internet as the mode of
intercommunication. The term “Internet of Things” was first
proposed by Kevin Ashton in the year 1982 [2]. With the
aim of providing advanced mode of communication between
the various systems and devices as well as facilitating the
interaction of humans with the virtual environment, IoT
finds its application in almost anyfield. But as with all things
using the internet infrastructure for information exchange,
IoT to is susceptible to various security issues and has some
major privacy concerns for the end users. As such IoT, even
with all its advanced capabilities in the information
exchange area, is a flawed concept from the security
viewpoint and proper steps has to be taken in the initial
phase itself before going for further development of IoT for
an effective and widely accepted adoption.
2. OVERVIEW
In section 3 of this paper we discuss the various
communication technologies using theInternet infrastructure
for the exchange of information. In section 4, we do a
survey of all the security issues plaguing the Internet of
Things as well as the pervading privacy issues faced by the
end users of technologies utilizing the advanced information
sharing architecture of IoT. In section 5, we conclude our
paper with a proposal for the necessary steps to be taken for
addressing all the security issues of IoT.
3. CONNECTIVITYTECHNOLOGIES AND
INTERACTION AMONGST VARIOUS
INTERNET OF THINGS (IoT) DEVICES
The automatic exchange of information between two
systems or two devices without any manual input is the
main objective of the Internet of Things. This automated
information exchange between two devices takes place
through some specific communication technologies, which
are described below.
3.1 Wireless Sensor Networks (WSN)
As described in [3], WSN are compositions of
independent nodes whose wireless communication takes
place over limited frequency and bandwidth. The
communicating nodes of a typical wireless sensor network
consist of the following parts:
i. Sensor
ii. Microcontroller
iii. Memory
iv. Radio Transceiver
v. Battery
Due to the limited communication range of each sensor
node of a WSN, multi-hop relay of information take place
between the source and the base station. The required data is
collected by the wireless sensors through collaboration
amongst the various nodes, which is then sent to the sink
node for directed routing towards the base station. The
communication network formed dynamically by the use of
wireless radio transceivers facilitates data transmission
between nodes. Multi-hop transmission of data demands
different nodes to take diverse traffic loads [2].
3.2 Radio Frequency Identification (RFID)
In context to the Internet of Things (IoT), RFID
technology is mainly used in information tags interacting
with each other automatically.RFID tags use radio

2373
frequency waves for interacting and exchanging information
between one another with no requirement for alignment in
the same line of sight or physical contact. It uses the
wireless technology of Automatic Identification and Data
Capture (AIDC) [23]. A RFID is made up of the following
two components [2]:
3.2.1 RFID tags (Transponders)
In a RFID tag, an antenna is embedded in a microchip.
The RFID tag also consists of memory units, which houses a
unique identifier known as Electronic Product Code (EPC).
The function of the EPC in each tag is to provide a universal
numerical data by which a particular tag is recognized
universally.
As per the classification in [2], thetypes of RFID tags are:
i.Active tag: This type of tag houses a battery internally,
which facilitates the interaction of its unique EPC with its
surrounding EPCs remotely from a limited distance.
ii. Passive tag: In this type of tag, the information relay
of its EPC occurs only by its activation by a transceiver
from a pre-defined range of the tag. The lack of an internal
battery in the passive tags is substituted by its utilization of
the electromagnetic signal emitted by a tag reader through
inductive coupling as a source of energy. (For details about
the utilization of external sources of energy in a passive tag,
readers can refer to [4]).
A RFID tag operates in conjunction with a tag reader,
the EPC of the former being the identifying signature of a
particular tag under the scan of the latter.
3.2.2 RFID readers (Transceivers)
The RFID reader functions as the identification detector
of each tag by its interaction with the EPC of the tag under
its scan.
More information on the working technologies behind
RFID can be found in [6].
4. SECURITY ISSUES AND PRIVACYCONCERNS
Despite the immense potential of IoT in the various
spheres, the whole communication infrastructure of the IoT
is flawed from the security standpoint and is susceptible to
loss of privacy for the end users. Some of the most
prominent security issues plaguing the entire developing IoT
system arise out of the security issues present in the
technologies used in IoT for information relay from one
device to another. As such some of the prominent security
issues stemming out from the communication technology
are the following:
4.1 Security issues in the wireless sensor networks (WSNs):
The hierarchical relationship of the various security issues
plaguing the wireless sensor network is shown in Figure 1.
The oppressive operations that can be performed in a
wireless sensor network can be categorized under three
categories [7]:
i. Attacks on secrecy and authentication
ii. Silent attacks on service integrity
iii.Attacks on network availability: The denial of
service (DoS) ([16], [17]) attack falls under this category.
This prevention of accessibility of information to legitimate
users by unknown third party intruders can take place on
different layers of a network [8],[14],[15]:
4.2 DoS attack on the physical layer:
The physical layer of a wireless sensor network carries out
the function of selection and generation of carrier frequency,
modulation and demodulation, encryption and decryption,
transmission and reception of data [19]. This layer of the
wireless sensor network is attacked mainly through
i. Jamming: In this type of DoS attack occupies the
communication channel between the nodes thus
preventing them from communicating with each other.
ii. Node tampering: Physical tampering of the node to
extract sensitive information is known as node tampering.
4.3 DoS attack on the link layer:
The link layer of WSN multiplexes the various data streams,
provides detection of data frame, MAC and error control.
Moreover the link layer ensures point-point or point-
multipoint reliability [20]. The DoS attacks taking place in
this layer are:
i. Collision: This type of DoS attack can be initiated when
two nodes simultaneously transmit packets of data on the
same frequency channel. The collision of data packets
results in small changes in the packet results in
identification of the packet as a mismatch at the receiving
end. This leads to discard of the affected data packet for
re-transmission [22].
ii. Unfairness: As described in [22], unfairness is a
repeated collision based attack. It can also be referred to
as exhaustion based attacks.
iii. Battery Exhaustion: This type of DoS attack causes
unusually high traffic in a channel making its accessibility
very limited to the nodes. Such a disruption in the channel
is caused by a large number of requests (Request To
Send) and transmissions over the channel.
4.4 DoS attack on the network layer:
The main function of the network layer of WSN is routing.
The specific DoS attacks taking place in this layer are:
i. Spoofing, replaying and misdirection of traffic.
ii. Hello flood attack: This attack causes high traffic in
channels by congesting the channel with an unusually
high number of useless messages. Here a single malicious
node sends a useless message which is then replayed by
the attacker to create a high traffic.
iii. Homing: In case of homing attack, a search is made in
the traffic for cluster heads and key managers which have
the capability to shut down the entire network.
iv. Selective forwarding: As the name suggests, in
selective forwarding, a compromised node only sends a
selected few nodes instead of all the nodes. This selection
of the nodes is done on the basis of the requirement of the
attacker to achieve his malicious objective and thus such
nodes does not forward packets of data.
v. Sybil: In a Sybil attack, the attacker replicates a single
node and presents it with multiple identities to the other
nodes.
vi. Wormhole: This DoS attack causes relocation of bits
of data from its original position in the network.This
relocation of data packet is carried out through tunnelling
of bits of data over a link of low latency.
vii. Acknowledgement flooding: Acknowledgements are
required at times in sensor networks when routing
algorithms are used. In this DoS attack, a malicious node
spoofs the Acknowledgements providing false
information to the destined neighboring nodes

Volume: 6 Issue: 4 Pages: 2372-2378 (2015
Figure 1 - Hierarchical
Figure 2 - Types of Denial o
s
5) ISSN: 0975-0290
diagram of security issues in Wireless Sensor Network
of Attack in Wireless Sensor Network
2374
k

2375
4.4 DoS attack on the transport layer:
This layer of the WSN architecture provides reliability of
data transmission and avoids congestion resulting from high
traffic in the routers. The DoS attacks in this layer are:
i. Flooding: It refers to deliberate congestion of
communication channels through relay of unnecessary
messages and high traffic.
ii. De-synchronization: In de-synchronization attack, fake
messages are created at one or both endpoints requesting
retransmissions for correction of non-existent error. This
results in loss of energy in one or both the end-points in
carrying out the spoofed instructions.
4.5 DoS attack on the application layer:
The application layer of WSN carries out the responsibility
of traffic management. It also acts as the provider of
software for different applications which carries out the
translation of data into a comprehensible form or helps in
collection of information by sending queries [20]. In this
layer, a path-based DoS attack is initiated by stimulating the
sensor nodes to create a huge traffic in the route towards the
base station [21], [22].
Figure 2 shows all the above mentioned DoS attacks
in the different layers of a wireless sensor network.
Some additional DoS attacks are as follows [7], [14],
[15], [36]:
i. Neglect and Greed Attack
ii. Interrogation
iii. Black Holes
iv. Node Subversion
v. Node malfunction
vi. Node Outage
vii. Passive Information Gathering
viii. False Node
ix. Message Corruption
Some of the other security and privacy issues in a WSN
are [7], [9], [10]:
i. Data Confidentiality
ii. Data Integrity
iii. Data Authentication
iv. Data Freshness
v. Availability
vi. Self-Organization
vii. Time Synchronization
viii. Secure Localization
ix. Flexibility
x. Robustness and Survivability
According to [26], the threats looming over WSN can
further be classified as follows:
i. External versus internal attacks
ii. Passive versus active attacks
iii. Mote-class versus laptop-class attacks
According to [12], the attacks on WSN can be classified
as:
i. Interruption
ii. Interception
iii. Modification
iv. Fabrication
The attacks on WSN can further be classified as:
i. Host-based attacks
ii. Network-based attacks
4.6 Security issues in RFID technology
In context to IoT, RFID technology is mainly used as
RFID tags for automated exchange of information without
any manual involvement. But the RFID tags are prone to
various attacks from outside due to the flawed security
status of the RFID technology. The four most common types
of attacks and security issues of RFID tags ([25], [35]) are
shown in Figure 3 which are as follows:
i. Unauthorized tag disabling (Attack on authenticity):
The DoS attacks in the RFID technology leads to
incapacitation of the RFID tags temporarily or
permanently. Such attacks render a RFID tag to
malfunction and misbehave under the scan of a tag reader,
its EPC giving misinformation against the unique
numerical combination identity assigned to it. These DoS
attacks can be done remotely, allowing the attacker to
manipulate the tag behavior from a distance.
ii. Unauthorized tag cloning (Attack on integrity): The
capturing of the identification information (like its EPC)
esp. through the manipulation of the tags by rogue readers
falls under this category. Once the identification
information of a tag is compromised, replication of the
tag (cloning) is made possible which can be used to
bypass counterfeit security measures as well as
introducing new vulnerabilities in any industry using
RFID tags automatic verification steps [35].
iii. Unauthorized tag tracking (Attack on
confidentiality): A tag can be traced through rogue
readers, which may result in giving up of sensitive
information like a person’s address. Thus from a
consumer’s viewpoint, buying a product having an RFID
tag guarantees them no confidentiality regarding the
purchase of their chase and infact endangers their privacy.
iv. Replay attacks (Attack on availability): In this type
of impersonation attacks the attacker uses a tag’s response
to a rogue reader’s challenge to impersonate the tag [25].
In replay attacks, the communicating signal between the
reader and the tag is intercepted, recorded and replayed
upon the receipt of any query from the reader at a later
time, thus faking the availability of the tag.
Besides this category, some prominent security
vulnerabilities of RFID technologies are [35]:
i. Reverse Engineering
ii. Power Analysis
iii. Eavesdropping
iv. Man-in-the-middle attack
v. Denial of Service (DoS)
vi. Spoofing
vii. Viruses
viii. Tracking
ix. Killing Tag Approach

4.7 Security issues in health-related tec
upon the concept of IoT:
Advances and convergence of engineerin
has paved the way for wearable health mon
which can constantly stream and share the inf
the sensor of the health monitor with othe
social network over the internet (The impl
social connectivity with the sensor data can be
[30] and [31]). The implementation of automa
of data by the sensors and uploading it to the
networks through a web server introduce
vulnerability in the whole data transmission
the monitor to the Internet. On the basis of it
(FITBIT), the authors of ([27], [32]) have r
following as the main security vulnerability
monitoring devices working in synchroniza
Internet:
i. Clear text login information: During
account linked with the health monitorin
authenticated password of the user is registe
server in clear text which is then recorded in
gives way to loss of secured login by making
available easily through the log files.
ii. Clear text HTTP data processing: The
sent to the web servers as plain HTTP instru
additional security or encryption. Such unpr
instructions can be easily intercepted for gai
various functions of a user account linked
monitoring device.
From the above mentioned vulnerabili
that the security measures implemented in the
technologies which are socially connected ov
lack the proper measures to address all the pr
of the end users and puts the users at ris
valuable information about their health
personnel with malicious intents.
Based on the above-mentioned security flaw
security and privacy issues present themselves
Internet of Things. A few of themare:
i. Theft of sensitive information like ba
ii. Easy accessibility to personal details
address, contact number etc.
iii. It may lead to open access to
information like financial status of an i
iv. An attack on any one device may co
integrity of all the other connected dev
interconnectivity has a huge drawback
s
5) ISSN: 0975-0290
hnologies built
g with biology
itoring devices
formation from
er devices and
lementation of
e found in [28],
atic collection
e various social
es some high
n process from
ts target device
recognized the
in such health
ation with the
g login to the
ng device, the
red in the web
n log files. This
g the password
e sensor data is
uctions with no
rotected HTTP
ining access to
to the health-
ties it is clear
e health-related
ver the internet
rivacy concerns
sk of exposing
to unknown
ws, many other
s in the field of
ank password
s likes contact
o confidential
institution
ompromise the
vices. Thus the
as a single
security failure can disrupt a
devices.
v. The reliance on the Internet m
architecture susceptible to virus
and most of the other security
with any Internet connected com
5. CONCLUSION
In this paper we have surveyed a
existing in the Internet of Things that
detrimental in the development and im
in the different fields. So adoptio
measures ([18], [24], [29], [34]) c
detailed security flawas well as imple
intrusion detection systems ([11], [33
stenographic security measures ([5]
exchange process and using of e
communication ([13]) will result in a m
IoT infrastructure. In conclusion, we
that more effort on development of sec
existing IoT infrastructure before
development of new implementation
daily life would prove to be a more f
method.
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Authors Biography
Tuhin Borgohain is a 3rd
Ye
Assam Engineering College, G
presently pursuing his
Engineering degree in the
Instrumentation Engineering.
Uday Kumar is working
Manager at Tech Mahindra L
has 17 years of experience
large complex software system
like Citibank, FIFA, Apple C
AT&T. He has developed p
performance testing, compilers. And have su
projects in finance, content management an
domain. He has participated in many ca
program and conducted workshop on soft
skills improvement for industrial strength
evangelizing tools and methodology for secur
programming.
Sugata Sanyal is presently
Research Advisor to th
Technology Office, Tata
Services, India. He was w
Institute of Fundamental Rese
2012. Prof. Sanyal is a
Scientific Consultant to the International Re
Study of Intelligence of Biological and Artif
System, Bucharest, Romania;Member, "Bra
advisory group to faculty members at t
Computing and Informatics, University of
Lafayette's Ray P. Authement College of Scie
honorary professor in IIT Guwahati and Me
Indian Institute of Guwahati, India. Prof
published many research papers in internation
in International Conferences worldwide: topic
network security to intrusion detection system
s
5) ISSN: 0975-0290
nyal and D. P.
Transfer over
nal Conference
nd Computing,
C 2004, Vol. 1,
Hervé Lebrun.
rabilities, and
Way to Flat
357-382.
. "A survey of
challenges in
reprint arXiv:
ear student of
Guwahati. He is
Bachelor of
department of
as Delivery
Ltd, India. He
in engineering
m for customers
Computers and
roducts in BI,
uccessfully led
nd ecommerce
ampus connect
tware security,
programming,
re and high end
acting as a
he Corporate
Consultancy
with the Tata
earch till July,
a:Distinguished
esearch Group:
ficial Complex
ain Trust," an
the School of
f Louisiana at
ences, USA; an
ember, Senate,
f. Sanyal has
nal journals and
cs ranging from
m and more.
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