scholarly journals A computational forensic framework for detection of hidden applications on android

2020 ◽  
Vol 20 (1) ◽  
pp. 353
Author(s):  
Tahira Rasul ◽  
Rabia Latif ◽  
Nor Shahida Mohd Jamail
Keyword(s):  
Criminal Court ◽  
Security And Privacy ◽  
Court Case ◽  
Sensitive Information ◽  
Efficient Manner ◽  
Case File ◽  
Privacy Threats ◽  
Hide Data ◽  
Hidden Data ◽  
Google Play

<span>Smartphones, since their emergence has become a significant part of our lives and Android is popular of all. They are successful due to the increasing availability of user applications to answer every possible need, so it is of great importance to ensure security and privacy when handling personal and sensitive information of the user. To secure the data on mobile devices, users use applications available on the Google Play store, which help to hide data on their devices known as Hidden Applications. Hidden applications are categorized as one of the major applications used for data hiding and storing. These applications can be used to hide date from snooping, intrusion and against the data theft. Therefore, the proposed framework in this research helps to find either they store and hide data in efficient manner or not and if they do so either it is encrypted or not. In this paper, main objective is to identify the privacy threats which end users face by using such applications, analyse these application’s behaviour, working, their code to understand how data is hidden and if the information is encrypted, it can be retrieved or not. The work not only focuses on the identification of hidden data/apps; it also provides a mechanism to recover and reconstruct the data from these hidden parts of the memory. In the end, present the results obtained by using the proposed framework in a case file so that it can be used in a criminal court case.</span>

scholarly journals Security and privacy concerned association rule mining technique for the accurate frequent pattern identification

2017 ◽  
Vol 7 (1.1) ◽  
pp. 19
Author(s):  
T. Nusrat Jabeen ◽  
M. Chidambaram ◽  
G. Suseendran
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Frequent Pattern ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Simulation Environment ◽  
Rule Mining ◽  
Mining Technique ◽  
Diffie Hellman

Security and privacy has emerged to be a serious concern in which the business professional don’t desire to share their classified transaction data. In the earlier work, secured sharing of transaction databases are carried out. The performance of those methods is enhanced further by bringing in Security and Privacy aware Large Database Association Rule Mining (SPLD-ARM) framework. Now the Improved Secured Association Rule Mining (ISARM) is introduced for the horizontal and vertical segmentation of huge database. Then k-Anonymization methods referred to as suppression and generalization based Anonymization method is employed for privacy guarantee. At last, Diffie-Hellman encryption algorithm is presented in order to safeguard the sensitive information and for the storage service provider to work on encrypted information. The Diffie-Hellman algorithm is utilized for increasing the quality of the system on the overall by the generation of the secured keys and thus the actual data is protected more efficiently. Realization of the newly introduced technique is conducted in the java simulation environment that reveals that the newly introduced technique accomplishes privacy in addition to security.

scholarly journals MACHINE LEARNING APPROACH FOR CRYPTOSYSTEM SUGGEST IN EDUCARE OVER CLOUDS

2021 ◽  
Vol 9 (6) ◽  
pp. 98-103
Author(s):  
Ravish G K ◽  
Thippeswamy K
Keyword(s):  
Machine Learning ◽  
Research Work ◽  
Cloud Services ◽  
Learning System ◽  
Security And Privacy ◽  
Great Promise ◽  
Sensitive Information ◽  
Online Systems ◽  
Machine Learning Approach ◽  
Time Requirements

In the current situation of the pandemic, global organizations are turning to online functionality to ensure survival and sustainability. The future, even though uncertain, holds great promise for the education system being online. Cloud services for education are the center of this research work as they require security and privacy. The sensitive information about the users and the institutions need to be protected from all interested third parties. since the data delivery on any of the online systems is always time sensitive, the have to be fast. In previous works some of the algorithms were explored and statistical inference based decision was presented. In this work a machine learning system is designed to make that decision based on data type and time requirements.

scholarly journals A survey of secure middleware for the Internet of Things

2017 ◽  
Author(s):  
Paul Fremantle ◽  
Philip Scott
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Threats ◽  
Strong Focus ◽  
Security Properties ◽  
Iot Platforms ◽  
The Internet Of Things ◽  
Structured Literature Review

The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

scholarly journals A Study on Extent of Awareness Among College Students in Security and Privacy Issues in Social Media

2021 ◽  
pp. 676-682
Author(s):  
Dr. J. Padmavathi ◽  
Sirvi Ashok Kumar Mohanlal
Keyword(s):  
College Students ◽  
Social Media ◽  
Social Networking Sites ◽  
Personal Information ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Social Media Networks ◽  
Area Of Interest ◽  
Unrestricted Access ◽  
Privacy Issues

Today Social Media is an integral part of many people’s lives. Most of us are users of one or many of these such as Facebook, Twitter, Instagram, LinkedIn etc. Social media networks are the most common platform to communicate with our friends, family and share thoughts, photos, videos and lots of other information in the common area of interest. Privacy has become an important concern in social networking sites. Users are not aware of the privacy risks involved on social media sites and they share their sensitive information on social network sites. While these platforms are free and offer unrestricted access to their services, they puzzle the users with many issues such as privacy, security, data harvesting, content censorship, leaking personal information etc. This paper aims at analyzing, the major users of social media networks, namely, the college students. It was intended to assess the extent the consumers’ are aware of the risks of free usage and how to mitigate against these privacy issues.

scholarly journals A survey of secure middleware for the Internet of Things

2017 ◽  
Author(s):  
Paul Fremantle ◽  
Philip Scott
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Threats ◽  
Strong Focus ◽  
Security Properties ◽  
Iot Platforms ◽  
The Internet Of Things ◽  
Structured Literature Review

The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

Empirical Security and Privacy Analysis of Mobile Symptom Checking Apps on Google Play

2021 ◽  
Author(s):  
I. Wayan Budi Sentana ◽  
Muhammad Ikram ◽  
Mohamed Kaafar ◽  
Shlomo Berkovsky
Keyword(s):  
Security And Privacy ◽  
Privacy Analysis ◽  
Google Play

Privacy and Security in e-Health Applications

2012 ◽  
pp. 1141-1166
Author(s):  
Milan Petkovic ◽  
Luan Ibraimi
Keyword(s):  
Digital Technologies ◽  
Health Data ◽  
Security Requirements ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Privacy And Security ◽  
Security Technologies ◽  
Technological Means ◽  
The Individual ◽  
Health Applications

The introduction of e-Health and extramural applications in the personal healthcare domain has raised serious concerns about security and privacy of health data. Novel digital technologies require other security approaches in addition to the traditional “purely physical” approach. Furthermore, privacy is becoming an increasing concern in domains that deal with sensitive information such as healthcare, which cannot absorb the costs of security abuses in the system. Once sensitive information about an individual’s health is uncovered and social damage is done, there is no way to revoke the information or to restitute the individual. Therefore, in addition to legal means, it is very important to provide and enforce privacy and security in healthcare by technological means. In this chapter, the authors analyze privacy and security requirements in healthcare, explain their importance and review both classical and novel security technologies that could fulfill these requirements.

Efficient Cyber Security Framework for Smart Cities

2019 ◽  
pp. 130-157 ◽  
Author(s):  
Amtul Waheed ◽  
Jana Shafi
Keyword(s):  
Cyber Security ◽  
Smart City ◽  
Smart Cities ◽  
Cost Effective ◽  
Cyber Attacks ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Security Framework ◽  
Smart Transportation ◽  
Security Issues

Smart cities are established on some smart components such as smart governances, smart economy, science and technology, smart politics, smart transportation, and smart life. Each and every smart object is interconnected through the internet, challenging the security and privacy of citizen's sensitive information. A secure framework for smart cities is the only solution for better and smart living. This can be achieved through IoT infrastructure and cloud computing. The combination of IoT and Cloud also increases the storage capacity and computational power and make services pervasive, cost-effective, and accessed from anywhere and any device. This chapter will discuss security issues and challenges of smart city along with cyber security framework and architecture of smart cities for smart infrastructures and smart applications. It also presents a general study about security mechanism for smart city applications and security protection methodology using IOT service to stand against cyber-attacks.

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