How to Identify Potentially Unwanted ApplicationsOPSWAT
With an ever-changing threat landscape, certain software applications have become difficult to detect and define potential threats by anti-malware technologies. This type of applications is commonly known as a potentially unwanted application (PUA). These applications can open users to vulnerabilities and risk; learn how to recognize these types of applications to protect against the potential risks.
How to Identify Potentially Unwanted ApplicationsOPSWAT
With an ever-changing threat landscape, certain software applications have become difficult to detect and define potential threats by anti-malware technologies. This type of applications is commonly known as a potentially unwanted application (PUA). These applications can open users to vulnerabilities and risk; learn how to recognize these types of applications to protect against the potential risks.
Pileup Flaws: Vulnerabilities in Android Update Make All Android Devices Vuln...MOBIQUANT TECHNOLOGIES
Pileup Flaws: Vulnerabilities in Android Update
Make All Android Devices Vulnerable.
Android upgrade mechanism brings to light a whole new set of vulnerabilities pervasively existing in almost all Android versions, which allow a seemingly harmless malicious app. MobileNX Enterprise Suite and uFortress address these flaws ina recent update.
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The Crucial Role of Mobile App Testing in Ensuring Quality and Security.pdfAnanthReddy38
In a world increasingly reliant on mobile devices, the significance of comprehensive software testing for mobile apps cannot be overstated. Mobile applications have become integral to our daily lives, influencing how we communicate, work, and entertain ourselves. With millions of apps being downloaded globally each day on a multitude of devices, it is imperative to recognize the importance of rigorous testing before public release.
Why do mobile apps need testing?
Ensuring the success and security of a mobile app involves addressing various aspects of software quality assurance. Key considerations include compatibility with diverse devices and operating systems, identification of usability issues impacting user experience, mitigation of potential security vulnerabilities (AppSec), and optimization of efficiency through test automation.
Apps such as those for banking, cloud storage, mobile payments, or sports betting carry high stakes for users. Failure to thoroughly test these applications may result in negative consequences, impacting users who rely on them. Moreover, an untested app can lead to credibility loss and significant financial setbacks for the app creators.
In what ways can apps be tested?
Several approaches can be taken to test mobile apps, depending on the specific needs and purposes of the application. Here are some general tips to guide effective mobile testing efforts:
1. Test on Multiple Devices: Given the vast array of mobile devices, testing on various types is crucial. This helps uncover compatibility issues, performance problems, and bugs that may arise based on device type and operating system version. The balance between real and emulated devices depends on the specific testing requirements.
2. Usability Testing Matters: Functionality is important, but so is user experience. Usability testing allows real-world users to provide feedback on how well an app performs in everyday situations. Identifying the target audience and observing how users interact with the app without guidance reveals unique user experiences.
3. Security Testing (AppSec): In the digital age, data security is paramount. Devote time to researching potential security vulnerabilities and develop a plan to mitigate them. Utilize tools such as Static Application Security Test (SAST) and Dynamic Application Security Test (DAST) to identify and address security weaknesses.
4. Automation is Key: With a multitude of devices and operating systems, manual testing becomes impractical. Automation is essential, particularly for areas like network traffic and mobile server performance. Tools like Appium offer automation capabilities for native, mobile web, and hybrid applications on both iOS and Android.
Final Thoughts
The importance of mobile app testing lies in the assurance of app quality, compatibility, security, and user satisfaction. As apps play a central role in daily life, thorough testing before release is essential.
ANDROID UNTRUSTED DETECTION WITH PERMISSION BASED SCORING ANALYSISijitcs
Android smart phone is one of the fast growing mobile phones and because of these it the one of the most preferred target of malware developer. Malware apps can penetrate the device and gain privileges in which it can perform malicious activities such reading user contact, misusing of private information such as sending SMS and can harm user by exploiting the users private data which is stored in the device. The study is about implementation of detecting untrusted on android applications, which would be the basis of all future development regarding malware detection.
The smartphone users worldwide are not aware of the permissions as the basis of all malicious activities that could possibly operate in an android system and may steal personal and private information. Android operating system is an open system in which users are allowed to install application from any unsafe sites. However permission mechanism of and android system is not enough to guarantee the invulnerability of the application that can harm the user. In this paper, the permission scoring-based analysis that will scrutinized the installed permission and allows user to increase the efficiency of Android permission to inform user about the risk of the installed Android application, in this paper, the framework that would classify the level of sensitivity of the permission access by the application. The framework uses a formula that will calculate the sensitivity level of the permission and determine if the installed application is untrusted or not. Our result show that, in a collection of 26 untrusted application, the framework is able to correct and determine the application's behavior consistently and efficiently.
Behavior-Based Security for Mobile Devices Using Machine Learning Techniquesgerogepatton
The goal of this research project is to design and implement a mobile application and machine learning techniques to solve problems related to the security of mobile devices. We introduce in this paper a
behavior-based approach that can be applied in a mobile environment to capture and learn the behavior of
mobile users. The proposed system was tested using Android OS and the initial experimental results show
that the proposed technique is promising, and it can be used effectively to solve the problem of anomaly
detection in mobile devices.
Provide security about risk score in mobile application’seSAT Journals
Abstract Now days as the use of mobile devices is increasing rapidly day by day, huge number of mobile apps are coming into the market. These apps ask the user access to various kinds of permissions, and also many of these perform the same task. The user comes at risk with presence of some malicious app due to access of permission it will get, as android provides a stand –alone defense mechanism with respect to malicious apps. Where it warns the user about the permissions the app requires, trusting that the user will make proper decision, which requires the user to have the technical knowledge and time, which is not user friendly for each user. Also classification of these apps can be useful in understanding the user preferences and can motivate the intelligent personalized services. But to effectively classify the app is a nontrivial task as limited contextual information is available. To address these two issues an approach is proposed where the apps will be classified first using the enriched contextual information from web search engine, then with the contextual features from the context-rich device logs of mobile users and calculating the risk score for the app in order to generate a user friendly metric for the user to use when choosing the app. This will help us to get effective classification of the mobile apps and protect the user’s mobile devices from malicious apps. Key Words: - Mobile apps classification, risk, malware, web knowledge, enriched contextual information.
Mobile security is one of the most important
aspect when it comes to keeping our data secure from any
external attack like phishing, data hacking and many other
attacks that can have very disastrous effects that may also
lead to social disturbance, as in one’s private data can be
made public by the attackers.
Enable best-of-breed security testing for enterprise, web and
mobile applications
• Facilitate application security testing for your customers at the
appropriate stage of their development lifecycle
• Identify security vulnerabilities such as SQL injection and
cross-site scripting (XSS)
• Automate correlation of static, dynamic and interactive application
security testing results
• Deliver detailed reporting to your customers that summarise
security vulnerabilities, assesses potential risk and offers
remediation tactics
WHAT IS APP SECURITY – THE COMPLETE PROCESS AND THE TOOLS & TESTS TO RUN ITTekRevol LLC
As the #tech industry continues to grow, #security concerns have become integral not only to software developers but also to consumers and entrepreneurs stepping into the field. Here's a basic guide that will help keep users, information, and programs safe.
Mobile Banking Security: Challenges, SolutionsCognizant
With the proliferation of online mobile banking services, security is a key issue. We offer a primer on security challenges and applicable controls/remedies. This includes solutions such as Trusteer Mobile SDK, Arxon's EnsureIT and Dexguard.
IRJET- App Misbehaviour Check: Development of Virus Modeling, Propagation...
Effective risk communication for android apps
1. Effective Risk Communication for Android Apps
ABSTRACT:
The popularity and advanced functionality of mobile devices has made them
attractive targets for malicious and intrusive applications (apps). Although strong
security measures are in place for most mobile systems, the area where these
systems often fail is the reliance on the user to make decisions that impact the
security of a device. As our prime example, Android relies on users to understand
the permissions that an app is requesting and to base the installation decision on
the list of permissions. Previous research has shown that this reliance on users is
ineffective, as most users do not understand or consider the permission
information. We propose a solution that leverages a method to assign a risk score
to each app and display a summary of that information to users. Results from four
experiments are reported in which we examine the effects of introducing summary
risk information and how best to convey such information to a user. Our results
show that the inclusion of risk-score information has significant positive effects in
the selection process and can also lead to more curiosity about security-related
information.
2. EXISTING SYSTEM:
With regard to smart phones, users are more concerned with privacy on their
phones than on computers, and they especially worry about the threat of malicious
apps.
For mobile devices, a person often downloads and uses many apps from multiple
unknown vendors, with each app providing some limited functionality.
Additionally, all of these unknown vendors typically submit their apps to a single
or several app stores where many other apps from other vendors may provide
similar functionality. This different paradigm requires a different approach to deal
with the risks of mobile devices, and offers distinct opportunities.
DISADVANTAGES OF EXISTING SYSTEM:
People will not use security features properly if they fail to understand the
purpose of the features or the information on which their decisions should be
based.
Users make many decisions that affect the overall state of security of any
system with which they interact. For security and privacy, most of these
decisions relate to the risk to which the individual or system is exposed.
3. PROPOSED SYSTEM:
We propose the addition of a summary risk rating for each app. A summary risk
rating enables easy risk comparisons among apps that provide similar
functionalities. We believe that one reason why current permission information is
often ignored by users is that it is presented in a “standalone” fashion and in a way
that requires a lot of technical knowledge and time to distill useful information,
making comparison across apps difficult. An important feature of the mobile app
ecosystem is that users often have choices and alternatives when choosing a mobile
app. If a user knows that one app is significantly riskier than another but provides
the same or similar functionality, then this fact may cause the user to choose the
less risky one. This will in turn provide incentives for developers to better follow
the least-privilege principle and request only necessary permissions.
ADVANTAGES OF PROPOSED SYSTEM:
A summary risk rating also enables proactive risk communication (e.g.,
when the user searches for apps) so that users can take this information into
the decision process. This is in contrast to the current reactive approach,
where often times the user sees the permission/risk information of an app as
a final warning only after the user has made the decision to choose the app.
4. Our hypothesis is that when a summary risk rating is presented in a user-friendly
fashion, it will encourage users to choose apps with lower risk.
The user sees the permission/risk information of an app as a final warning
only after the user has made the decision to choose the app.
An effective risk communication approach for Android could provide.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
MOBILE : ANDROID
SOFTWARE REQUIREMENTS:
Operating system : Windows XP/7.
5. Coding Language : Java 1.7
Tool Kit : Android 2.3 ABOVE
IDE : Eclipse
REFERENCE:
Christopher S. Gates, Jing Chen, Ninghui Li, Senior Member, IEEE, and Robert
W. Proctor “Effective Risk Communication for Android Apps” IEEE
TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL.
11, NO. 3, MAY-JUNE 2014