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ISSN(Online): 2319-8753
ISSN (Print): 2347-6710
International Journal of Innovative Research in Science,
Engineering and Technology
(A High Impact Factor, Monthly, Peer Reviewed Journal)
Visit: www.ijirset.com
Vol. 9, Issue 3, March 2020
Copyright to IJIRSET DOI:10.15680/IJIRSET.2020.0903043 292
Automatic Detection System for User Space
Keylogger
Ankit Waikar1
, Siddhi Gaikwad2
, Yash Nikam3
, P.P.Bastawade4
Student, Dept. of Computer Engineering, AISSMS College, Pune, India.1
Lecturer, Dept. of Computer Engineering, AISSMS College,Pune, India.4
ABSTRACT: Keyloggers are a invasive software often used to harvest secret information. One of the main reasons for
this fast growth is the possibility for unprivileged programs running in the user space to secretly steal and record all the
keystrokes typed by the users on a system. The ability to run in unprivileged mode makes possible their implementation
and distribution. but, at the same time, allows one to understand and imitate their behavior in detail. Overviewing this
characteristic, we proposed a new spying as well as catching technique that traps carefully typed keystroke sequences
in input and track the behavior of the keylogger in output to detect it among all the other running processes.Our
technique is an unprivileged application, hence matching the ease of deployment similar as of a keylogger executing in
unprivileged mode. We have examined the implicit technique against the most common keyloggers. This confirms the
practicatlity of our approach in practical scenarios.According to extensive experimental results confirm that our
technique is robust to both false positives and false negatives in day to day environment.
KEYWORDS: Invasive Software, Keylogger, Security, Black-box, PCC.
I. INTRODUCTION
KEYLOGGERS are deployed on an machine with an intentionally monitor the user activity by logging keystrokes and
eventually send them to the person who deployed it [1]. While they are often used for legitimate purposes (e.g.,
surveillance/parental monitoring infrastructures), keyloggers are often a hidden unknown hazardous exploited by
attackers to steal personal information. Many credit card detail and passwords have been stole using keyloggers [2], [3],
which makes them one of the most harmful types of spyware known to date. Keyloggers can be implemented as small
hardware devices or in software. Software-based keyloggers can be further differentiate based on the permissions they
require to execute. Keyloggers implemented by a kernel module run with full permissions in kernel space. Conversely,
an unprivileged keylogger can be deployed by a user-space process. It is necessary to notice that a user-space keylogger
can easily depended on documented sets of unprivileged APIs which are commonly available on modern operating
systems. This is not the case found for a keylogger implemented as a kernel module. In kernel space, the programmer
must be rely on kernel-level facilities to cut off all the messages release by the keyboard driver, without doubt requiring
a measurable amount effort and knowledge for an effective and bug-free implementation A user can say that the
keylogger is a harmless software and being deceived in executing it. On the contrary, kernel-space keyloggers needs a
user with super-user permission to knowingly install and execute unsigned code within the kernel, a practice often not
permitted by modern operating systems such Windows Vista or Windows 7. Today more than 95% of the existing
keyloggers are running in user space.[4] In this paper, we propose a new approach to detect and kill keyloggers running
as unprivileged user-space processes which can be harmful .Our technique isbeing entirely implemented in an
unprivileged process. As a result, our solution is much more portable, unintrusive, simple to install, and yet much more
effective. In addition, the proposed detection technique is fully blackbox, i.e., based on behavioral characteristics

ISSN (Print): 2347-6710
similar to all keyloggers. In other words, our technique does not depend on the internal structure of the keylogger or the
particular set of API’sbeing used. For this reason, Our solution is general applicability. We have prototyped our
approach and tested it against the most common freekeylogger.
II. PROBLEM DEFINITION
Keyloggers are implemented on a system to purposely monitor the user activity, by logging keystroke and delivering
them to a third party. This System propose a new approach to detect keyloggers running as unprivileged processes. To
match the model, this technique is fully implemented in an unprivileged process. As a result, the solution is portable,
easy to install, and yet very effective. The proposed detection technique is completely black-box which is based on
behavioral characteristics of keyloggers. In other words, this technique does not rely on the internal structure of the
keylogger or the particular set of APIs used for this reason; the solution is of general applicability. This system
prototypes and is evaluated it against the most common free keyloggers. This approach has proven effective in all the
cases. Key loggers are increasing rapidly and are the number one threat on the internet.
III. ARCHITECTURE OF SYSTEM
In this System, A keylogger can be lodged in a hardware device which plugs it into the keyboard port on computer.
Some keyloggers are hidden inside of keyboards of themselves. Hardware keyloggers cannot be detected by software,
but they have the disadvantage of gaining the physical access to a computer. If you pretend that the hardware
keylogger is present on your system, examining keyboard's connection , or replacing the keyboard will also solve the
problem. Form-filling software such as Rob form stores passwords, credit card info, and other information in a
database, then enters it into Web forms as needed. This proposed system eliminates the user's need to type any such
data on the keyboard, and can prevent keyloggers from recording it. However, there are other forms of software which
can catch data posted to forms by form-fillers. The Speech-to-text software or virtual keyboards can eliminate the
keyboard connection, too. Since , the text has to get to its terminal , and that path may be unprotected to canny
keystroke loggers. An anti-keylogger software attempts to detect or disable keylogging programs. Anti-keyloggers scan
your hard drive for the digital signatures of known keyloggers, and look for low-level software "hooks" that indicate
the presence of a keystroke grabber. Anti-keyloggers are most effective against keyloggers than antivirus programs
because they often don't identify keyloggers as an malware
Fig: System Architecture

ISSN (Print): 2347-6710
Methods used for detection
Keylogger can detected by using two methods:
1. Signature based detection
2. Heuristic based detection
the thing is that keylogger developers usually depend on a known methods to make their vicious code, and that allows
researcher to find and detect them quickly. Such methods are for example:
 Using Send Keys
 Using Monitoring Process Usage
 Using Reliable and Malicious Database
Monitoring Process Usage:
Running key loggers temporary store all its received keys in its process memory.
Due to this its process memory keeps changing. So our software will keep record of all the process and memory being
used.
 Sent Keys:
Lies within the Windows Script Host's object model is a tiny but important method called sends Keys that permit you to
the send keystrokes to the active window just as if you have typed them on the keyboard .
 Monitoring Process Usage:
Running key loggers temporary store all its received keys in its process memory.
Due to this its process memory keeps changing.As we keep track of process and memory
 Reliable and Malicious Database:
Our Anti-keylogger application will keep our own Databases for all vicious or malicious Process and Reliable Process.
After executing our Application it checks databases against all users running processes. If some records are been
recorded than the result is displayed otherwise further steps are executed.
IV. LITERATURE SURVEY
The approach of this paper is focused on designing a detection technique for unprivileged user-space keyloggers.
Unlike other categories of keyloggers, a user-space keylogger is a background process which registers operating system
supported hooks to surreptitiously spy every keystroke issued by the user into the current foreground application. Our
goal is to prevent user-space key loggers from stealing confidential data originally intended for a (trusted) authentic
foreground application. Malicious foreground applications surreptitiously logging user-issued keystrokes and
application-specific keylogger are outside our threat model and can be unidentified using our detection technique. This
model is based on these observations and explores the possibility of isolating the keylogger in a controlled
environment, where its behavior is directly exposed to the detection system. Techniques are used for controlling the
keystroke events that the keylogger receives in input, and constantly monitoring the I/O activity generated by the
keylogger in output. To assert detection, leverage the intuition that the relationship between the input and output of the
controlled environment can be modeled for most keyloggers with very good approximation.
The key advantage of the approach is centered on a black-box model that completely ignores the keylogger internals.
V. IMPLEMENTATION
The figure shows the result of (a) The loging page which verify’s the authentication of user (b) The Reslts before
scanning the system using the software (c) The results generated after scanning the system using the software if a
keylogger is found then the system asks the user whether to kill the keylogger or the suspicious process.

ISSN (Print): 2347-6710
Fig.Implementation of project (a)Log in page used for Authentication of user(using valid credential) (b)Before
scanning the device using the software (c)After scanning the device using the software
VI. CONCLUSION
Through this paper, we presented an unprivileged black-box approach for precise detection of the most common used
keyloggers, ( user-space keyloggers). We analyzed the behavior of a keylogger by related input (i.e., the keystrokes)
with the output (i.e., the I/O )patterns produced by the keylogger). We increased our model with the ability to naturally
inject the keystroke patterns. We also discussed the problem of selecting the best input pattern to improve our detection
rate.
REFERENCES
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siliconvalley/news/6359407.html.
[3] N. Strahija, “Student charged after college computers hacked,” http://www.xatrix.org/article2641.html.
[4] N. Grebennikov, “Keyloggers: How they work and how to detect them,” http://www.viruslist.com/en/analysis?pubid= 204791931.
[5] Security Technology Ltd., “Testing and reviews of keyloggers, monitoring products and spyware,” http://www.keylogger.org.
[6] L. Zhuang, F. Zhou, and J. D. Tygar, “Keyboard acoustic emanations revisited,” ACM Trans. on Information and System Security, vol. 13,
no. 1, pp. 1–26, 2009.
[7] M. Vuagnoux and S. Pasini, “Compromising electromagnetic emanations of wired and wireless keyboards,” Proc. of the 18th USENIX
Security Symposium, pp. 1–16, 2009.
[8] J. Rutkowska, “Subverting vista kernel for fun and profit,” Black Hat Briefings, 2007.
[9] J. L. Rodgers and W. A. Nicewander, “Thirteen ways to look at the correlation coefficient,” The American Statistician, vol. 42, no. 1, pp.
59–66, feb 1988.
[10] Sarah Young (14 September 2005). "Researchers recover typed text using audio recording of keystrokes". UC Berkeley NewsCenter.
[11] Sharon A. Maneki. "Learning from the Enemy: The GUNMAN Project" Archived 2017-12-03 at the Wayback Machine. 2012
[12] Christopher Ciabarra (2009-06-10). "Anti Keylogger". Networkintercept.com. Archived from the original on 2010-06-26
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