IEEE 2020: Automation in Agriculture
and IoT
Abstract: With every enhancement in Internet in terms of speed and bandwidth, IOT (Internet Of things) is taking the market on a new node and knocking the door with new opportunities of inventions. This paper talks about an energy saving electrical device Surveillance and Control system based on IOT.A large amount of energy is consumed by lighting appliances, so making improved efficiency and quick fault detection is a significant challenge. In this work, two different model approaches is followed depending on the nature of application. For small areas or confined premises IEEE 802.11 wireless technology is used where all the appliances is connected to a common Wi-Fi network. In the second model like street lamp pole where number of appliances grows only in one direction, wired configuration is used to avoid range issue.
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IEEE 2019: Android
Based Advanced Attendance Vigilance System Using Wireless Network with Fusion
of Bio-metric Fingerprint Authentication Abstract: In this digital era, different organizations have started
taking attendance using biometric fingerprint authentication. This will keep
the track of employee’s attendance but the question arises if the employee is
fully present at his/her workplace after giving attendance. In this modern era
of digitalization, it is seen that after giving attendance a huge number of
employees escape away from their workplace and do their personal job in the
office time. This paper focuses on a smart attendance system where an android
device will be used as a smart ID card. A mobile application is developed in
Java to ensure the attendance of an individual employee using bio-metric
fingerprint authentication. In addition, the entire working place will be a
Wi-Fi zone. So, the connection or disconnection of the android device (Smart ID
card) to the router will determine whether an employee is present in the
working place or not. A counter will be there into the system to count the
total amount of time an employee spends in the working place.
Patient Health Description using NFC-Tag-M-Health
ABSTRACT:Electronic medical recd systems (EMR) have been used in
adopting primary care physicians; few also use such system in practice. It is
said to be user friendly environment , secure in services , many new ways have
been used in order to access health care data. With ought to reducing of
patient quality care mobile health care system is said to be implemented. By
using Near Field Communication (NFC) a novel method is developed that uses basic
architecture for m-health care services. For the welfare of the patients
requirement the mobile health care system have been used globally. The work
highlights fetching patient records by the doctor in a single tap with NFC tag
to the NFC reader. With the help of Near Field Communication (NFC), these
following steps need to be undertaken with high priority in order as well as
provisioning the healthcare of the patients anytime and anywhere through
wireless technologies.
IEEE 2018 : Malware Threats and Detection for Industrial
Mobile-IoT Networks
Abstract : Industrial IoT networks deploy heterogeneous IoT devices to meet a
wide range of user requirements. These devices are usually pooled from private
or public IoT cloud providers. A signi_cant number of IoT cloud providers
integrate smartphones to overcome the latency of IoT devices and low computational
power problems. However, the integration of mobile devices with industrial IoT
networks exposes the IoT devices to signi_cant malware
threats. Mobile malware is the highest threat to the security of IoT data,
user's personal information, identity, and corporate/_nancial information. This
paper analyzes the efforts regarding malware threats aimed at the devices
deployed in industrial mobile-IoT networks and related detection techniques. We considered static,
dynamic, and hybrid detection analysis. In this performance analysis, we
compared static, dynamic, and hybrid analyses on the basis of data set, feature
extraction techniques, feature selection techniques, detection methods, and the
accuracy achieved by these methods. Therefore, we identify suspicious API
calls, system calls, and the permissions that are extracted and selected as features to detect mobile malware. This will
assist application developers in the safe use of APIs when developing
applications for industrial IoT networks.
IEEE 2018 : Fog-Based Crime-Assistance in Smart IoT
Transportation System
Abstract : Smart transportation safety (STS) envisions improving public
safety through a signi_cant paradigm shift for police authority responses on
crimes toward a pro-active one. The application of smart surveillance in STS is
critical for automatic and accurate identi_cation of events in case of security
threats in target environments. Cloud computing reduces costs and high resource
consumption of smart surveillance capable STS systems, at the cost of introducing
additional latency through far away centralized systems. In this paper, the
fog-framework for intelligent public safety in vehicular environment (FISVER)
framework applies fog computing in smart video surveillance-based STS to
enhance crime assistance in a cost-ef_cient way. Through fog-FISVER, in-vehicle
and fog infrastructures support autonomous and real-time crime detection on
public bus services. A fog-FISVER laboratory testbed prototype was created and
extensive evaluations in a real testbed were performed. Results show that
fog-FISVER delivers outstanding system performance and device survivability
behavior over typical STS use cases.
IEEE 2018 : VCAMS: Viterbi-based Context Aware Mobile Sensing
to Trade-off Energy and Delay
Abstract : Monitoring context depends on continuous collection of raw data
from sensors which are either embedded in smart mobile devices or worn by the
user. However, continuous sensing constitutes a major source of energy
consumption; on the other hand, lowering the sensing rate may lead to missing
the detection of critical contextual events. In this paper, we propose VCAMS: a
Viterbi-based Context Aware Mobile Sensing mechanism that adaptively finds
an optimized sensing schedule to decide when to trigger the sensors for data
collection while trading off the sensing energy and the delay to detect a state
change. The sensing schedule is adaptive from two aspects: 1) the decision
rules are learned from the user’s past behavior, and 2) these rules are updated
over real time whenever there is a significant change in the user’s behavior.
VCAMS is validated using multiple experiments, which include evaluation of
model success when considering binary and multi-user states. We also
implemented VCAMS on an Android-based device to estimate its computational
costs under realistic operational conditions. Test results show that our
proposed strategy provides better trade-off than previous state-of-the-art
methods under comparable conditions. Furthermore, the method provides 78%
energy saving when compared to continuous sensing.
IEEE 2018: MEDIBOX – IoT Enabled Patient Assisting Device
Abstract : The health and wellness sector is critical to human society and as
such should be one of the first to receive the benefits of upcoming
technologies like IoT. Some of the Internet of Medical Things (IoMT) are
connected to IoT networks to monitor the day-to-day activities of the patients.
Recently there has been attempts to design new medical devices which monitor the
medications and help aged people for a better assisted living. In this paper,
one such attempt is made to design a multipurpose portable intelligent device
named MEDIBOX which helps the patients take their medications at the right
time. This box is a proficient system which maintains the parameters like temperature
and humidity in a controlled range recommended by the drug manufacturer and
thus maintains the potency of the medicines even if the patient is travelling.
Related to this, we have developed a Host Management System (HMS) which is
capable of cloud-based installation and monitoring that stores and controls the
MEDIBOX functionality for further analysis and future modification in design
aspects.
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IEEE
2018: ETAP: Energy-Efficient and Traceable Authentication Protocol in Mobile
Medical Cloud Architecture
Abstract:
Medical cloud blends medical treatment, cloud computing and cloud storage
together via the Internet to achieve stakeholders’ benefits (healthcare center,
patient, doctor and cloud server). It also enables bunch of shared
computing-storage resources to end users at anytime and anywhere. Due to the
complexity and openness of the Internet, assorted challenges are there. Hence,
security and privacy are the dominant concerns. Therefore, strong privacy
protection authentication protocol is desired. Very recently, Cheng et al
proposed a cloud-based authentication protocol and claimed that their protocol
was against mentioned weaknesses in their paper. However, the analysis shows
that Cheng et al’s protocol is insecure against message confidentiality and patient’s
anonymity. Then a novel protocol is proposed (abbreviated to ETAP). The ETAP
not only mitigates the weaknesses, but has other advantages. First, ETAP
realizes authentication with extremely low computional cost between
stakeholders. Second, ETAP can enable patients to enjoy the remote services
with privacy protection. Finally, ETAP is proven to be safe against passive and
active attacks under the elliptic curve discrete logarithm problem (ECDLP)
assumption in random oracle model. Hence, these features make ETAP very
suitable for computation-limited mobile devices (such as smartphone, PAD)
compared with other related existing protocols.
IEEE 2018:
Querying in Internet of Things with
Privacy Preserving: Challenges, Solutions and Opportunities
Abstract:
IoT is envisioned as the next stage of
the information revolution, enabling various daily applications and providing
better service by conducting a deep fusion with cloud and fog computing. As the
key mission of most IoT applications, data management, especially the
fundamental function-data query, has long been plagued by severe security and
privacy problems. Most query service providers, including the big ones (e.g.,
Google, Facebook, Amazon, and so on) are suffering from intensive attacks
launched by insiders or outsiders. As a consequence, processing various
queries in IoT without compromising the data and query privacy is an urgent and
challenging issue. In this article, we propose a thing-fog-cloud architecture
for secure query processing based on well studied classical paradigms.
Following with a description of crucial technical challenges in terms of
functionality, privacy and efficiency assurance, we survey the latest
milestone-like approaches, and provide an insight into the advantages and
limitations of each scheme. Based on the recent advances, we also discuss
future research opportunities to motivate efforts to develop practical private
query protocols in IoT.
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IEEE 2018:
Fog Computing Approach for Mobility Support in Internet-of-Things Systems
Abstract: Handover mechanism
for mobility support in a remote real-time streaming IoT system was proposed in
this paper. The handover mechanism serves to keep the connection between sensor
nodes and a gateway with a low latency. The handover mechanism also attentively
considers oscillating nodes which often occur in many streaming IoT systems. By
leveraging the strategic position of smart gateways and Fog computing in a
real-time streaming IoT system, sensor nodes’ loads were alleviated whereas advanced
services, like push notification and local data storage, were provided. The
paper discussed and analyzed metrics for the handover mechanism based on Wi-Fi.
In addition, a complete remote real-time health monitoring IoT system was
implemented for experiments. The results from evaluating our mobility handover
mechanism for mobility support shows that the latency of switching from one
gateway to another is 10% - 50% less than other state-of-the-art mobility
support systems. The results show that the proposed handover mechanism is a
very promising approach for mobility support in both Fog computing and IoT
systems.
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IEEE 2018:
Data Transfusion: Pairing Wearable Devices and Its Implication on Security for
Internet of Things
Abstract: When a wearable
device such as a smartwatch is paired with a host device, e.g., a smartphone,
it is inevitable that a certain amount of data stored in the host device will
be copied to the wearable device for initialization and personalization purposes.
This incident may frequently occur with the Internet of Things. However, it is
not well known, particularly among users, what type of data and how much of it
is actually being copied or retained as a result of device pairing. Thus, it is
unclear whether users are properly managing smartphones and smart watches based
on their stored data. In this regard, we coined a new term called data
transfusion to describe the phenomenon in which a user experiences data
transfer while pairing but without having any knowledge regarding the data. To
the best of our knowledge, there are no previous studies that deal with how
much sensitive data are transfused regardless of user consent, and how users
perceive and behave toward such a phenomenon for smartwatches. As this is a significant
issue with the Internet of Things, we tackle this problem in two ways. We first
conduct an experimental study of data extraction from commodity devices such as
in Android Wear, watchOS, and Tizen platforms, followed by a survey of 205
smartwatch users. The experimental study reveals that large amounts of
sensitive data are being transfused without sufficient user notification. The survey
demonstrates that users have lower risk perceptions for smartwatches than for
smartphones in terms of security and privacy, but they tend to set the same
passcode on both devices when needed. Based on the results, we perform risk
assessment and discuss possible mitigation measures that involve volatile transfusion
for securing the Internet of Things.
IEEE 2018:
Efficient External Sensors for Smartphonesthrough Near Field Communication
(NFC)
Abstract: This paper evaluates
the opportunity to utilize external sensors through near field communication
(NFC) for smartphones, both, in terms of energy consumption from the smartphones’
battery and time consumption of the smartphones’ user. Our developed sensor
card enables external sensors to obtain information, for example, on the
current temperature level, humidity level, UV level, and amount of ambient
light. We demonstrate that our approach requires significantly less energy and
time compared to alternatives which users of smartphones have. Furthermore, we
analyse the impact of heat sources present in smartphones on the readings of
temperature and humidity level sensors. We propose to externalise sensors in
order to minimise the negative impact of temperature on sensors readings and,
thereby, improving the accuracy of the measurements and the acquired sensor
data.
IEEE 2018: NFC-based
mobile application design restaurant ordering system APP
Abstract: As smartphones grow
rapidly and wireless communication technology develops maturely, mobile applications
of all sorts keep emerging. At present, the wireless communication technology
that smart phones incorporate most often is Near Field Communication, NFC,
which is applied to hand phones with built-in NFC with which users make
payment, read messages, and close-range device matching, for example. Restaurants
have given away coupons to customers after consumption or accumulate points for
exchange of other discounts or gifts using member cards, so as to attract customers
to come back again; however, it is not unusual that consumers forget to come to
restaurants without their cards or even have lost them. In this regard, this
study will design a Restaurant system App, with which the consumers will browse
on the mobile devices the discounts, information on meals and other services,
and will integrate member bonus and coupons as well as number call service into
the App by means of data transmission with NFC technique.
IEEE 2018:
Lightweight Smart Home Security System Using Multiple RSS-based Voting
Abstract: A centralized smart
home system can be attacked by hacking the center or camouflaging as a member
device. We propose a distributed security system using received signal strength
(RSS) based voting. The peripheral devices vote according to whether the RSS is
in a pre-calculated range. The validation of a data is conducted by the result
of vote. If the peripheral devices approve more than 60%, the data is regarded
to be trusted. We have confirmed through actual implementation and experiments against
the camouflage attack scenario. As a result, the proposed system blocked the
data from a camouflaged device as 100% in the experiments.
Abstract: This
paper discusses the concept of a smart wearable device for little children. The
major advantage of this wearable over other wearable is that it can be used in
any cell phone and doesn't necessarily require an expensive smart phone and not
a very tech savvy individual to operate. The purpose of this device is to help
parents locate their children with ease. At the moment there are many
wearable’s in the market which help track the daily activity of children and
also help find the child using Wi-Fi and Bluetooth services present on the
device. But Wi-Fi and Bluetooth appear to be an unreliable medium of
communication between the parent and child. Therefore, the focus of this paper
is to have an SMS text enabled communication medium between the child's wearable
and the parent as the environment for GSM mobile communication is almost
present everywhere. The parent can send a text with specific keywords such as
"LOCATION" "TEMPERA TURE" "UV" "SOS"
"BUZZ", etc., the wearable device will reply back with a text containing
the real time accurate location of the child which upon tapping will provide
directions to the child's location on Google maps app and will also provide the
surrounding temperature, UV radiation index so that the parents can keep track
if the temperature or UV radiation is not suitable for the child. The Prime
motivation behind this project is that we know how important technology
is in our lives but it can sometimes can't be trusted, and we always need to
have a secondary measure at hand. The secondary measure used in this project is
the people present in the surrounding of the child who could instantly react
for the Child’s safety till the parents arrives or they could contact the
parents and help locate them. The secondary measure implemented was using a
bright SOS Light and distress alarm buzzer present on the wearable device which
when activated by the parents via SMS text should display the SOS signal
brightly and sound an alarm which a bystander can easily spot as a sign of
distress.
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IEEE 2017: Blind Aid Stick: Hurdle Recognition, Simulated Perception, Android Integrated Voice Based Cooperation via GPS Along With Panic Alert System
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