Author Details

In business scenarios today, the most precious asset is computer systems and the data which is stored in them. Attackers are well aware of this fact and that is the reason why they can easily make money by holding this data at ransom. This is the reason why ransomware form of malware is on constant rise and is threatening businesses. WannaCry is one such ransomware which recently caused great havoc in many countries, affecting public amenities like health, in addition to causing huge monetary losses and losses to data. In this paper we will analyze wannacry in detail to understand its architecture, working, damages it caused and how the kill-switch worked to stop the damages for some time. We will also understand the various precautions to be taken to be protected from such ransomware in the future.

Keywords

Ransomware, WannaCry, SMB Vulnerability, Doublepulsar, Bitcoins, TOR.

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References

Certin, M. (2017, May 13) . Wannacry/WannaCrypt Ransomware. Retrieved from Cyber Swachhta Kendra Website: http://www.cyberswachhtakendra.gov.in/alerts/wannacry_ransomware.html

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On Road Obstacle Detection:A Review

Abstract Views :498 | PDF Views:6

Authors

Padma Mishra ¹, Anup Girdhar ¹

Affiliations
1 Department of Computer Science, TMV University, Pune, IN

Source

MERI-Journal of Management & IT, Vol 10, No 2 (2017), Pagination:

Abstract

On Road Obstacles detection from moving camera is also come under object detection. Road obstacles are a source of serious accidents that have a simple influence on driver safety, traffic flow efficiency and damage of the vehicle. The obstacle detection technologies are increasingly popular choices for driver assistant system. Obstacles detection is essential to avoid such kind of the accidents. Determining obstacles is very difficult and also it becomes complicated because of various problems like existence of shadow, environmental variations or an unexpected act of any moving things (e.g., car overtaking, animal coming) and many others with stationary camera. A new process is presented for detecting obstacles from moving camera and moving objects which overcomes numerous limitations above stationary cameras and moving/stationary objects. Further, paper analyses latest research developments to spot obstacles for moving cameras and moving objects with discussion of key points and limitations of each approach. Given the importance of obstacle detection, the main measure of interest was to decrease the road accidents and driver's safety. Detection of obstacles with moving camera and moving objects is more robust and reliable than stationary cameras.

Keywords

Obstacle Detection, Intelligent Transportation System, Driver Safety.

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References

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PMASCE-Polymorphic and Metamorphic Shellcode Creation Engine

Abstract Views :403 | PDF Views:5

Authors

Navneet Kaur Popli ¹, Anup Girdhar ²

Affiliations
1 Tilak Maharashtra Vidyapeeth, Pune, IN
2 Sedulity Solutions and Technologies Delhi, IN

Source

MERI-Journal of Management & IT, Vol 11, No 1 (2017), Pagination: 39-55

Abstract

Signature detection is ultimately going to be of no use in the future of AVs and IDS systems. The obfuscation of several parts of the exploit code is becoming so detailed that it could become almost impossible to uncover the various layers of obfuscation and reveal the actual malicious payload. In addition to obfuscation, there are sandbox evasion techniques being followed by attackers to hide from IDS if they try to study their behaviour in a simulated environment. Also, a worm may not attack in one go but in multiple stages, probably sending a small, innocent looking code first, which prepares the system for advance attacks. The worm may become polymorphic or metamorphic depending upon the attack complexity required. Polymorphic blending enables a worm to merge with normal traffic so well that anomaly-based IDS’ are unable to discern it from normal packets. To top it all, attackers are now able to create a M:N worm which means that a worm can have many signatures, many behaviours. This is done by changing the runtime behaviour of the shellcode. In this paper we propose an engine called PMASCE-Polymorphic and Metamorphic Shellcode Creation Engine. This engine enumerates all the steps which are required to be followed to create a strong polymorphic or metamorphic shellcode. This type of shellcode is created taking into account all the defence mechanisms carried out by the detection systems currently. Once all these steps are analysed, we aim to advance the research in IDS so that the existing IDS’ can be hardened to detect all malwarespolymorphic or metamorphic, employing all kinds of techniques of the present and the future.

Keywords

Malware, IDPs, Sandbox, Polymorphic Shellcodes, Obfuscation, Blending, Metamorphism.

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Vision Based Vehicle Detection Using Hybrid Algorithm

Abstract Views :375 | PDF Views:5

Authors

Padma Mishra ¹, Anup Girdhar ¹

Affiliations
1 Department of Computer Science, TMV University, Pune, IN

Source

MERI-Journal of Management & IT, Vol 11, No 1 (2017), Pagination: 107-117

Abstract

Moving vehicle detection remain very critical and thus intended for Video-based solution, comparing to other techniques and by considering the traffic video sequence recorded from a video camera, this paper presents a video-based solution applied with adaptive subtracted background technology in combination with virtual detector and blob tracking technologies. This paper provides Experimental results moving vehicle detection which is implemented in Visual C++ code with OpenCV, thus the proposed method used for detection.

Keywords

Computer Vision, GMM, ITS, Open CV, Vehicle Detection.

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Proposed Framework for Partial Vehicle Image Detection Using SVM and Fuzzy

Abstract Views :339 | PDF Views:5

Authors

Padma Mishra ¹, Anup Girdhar ¹

Affiliations
1 Department of Computer Science, TMV University, Pune, IN

Source

MERI-Journal of Management & IT, Vol 11, No 2 (2018), Pagination: 86-95

Abstract

Image of particular object as vehicle as image detection is mainly the important role in driver assistant system as well as in intelligent autonomous vehicles. Thus in real - time it run time performance in term of accuracy performance. Thus the proposed system is discussed with consideration of overlapping of one image with another and partial view of images etc.thus the partial vehicle detection module is basically on driver assistant system and intelligent auto-nous vehicles by considering what type of image as vehicle appears in which area should extracted and classification based color Histogram of Orientated Gradients. Thus it perform the conversion of the input image as vehicle into gray image then Supreme stable outer region thus extract input as stable object in the previous output with the use of more one or more frames. In upcoming research the support vector machine retrieve the image as data from maximum stable external region result and then matches with database of image. Thus the concurrently the fuzzy pattern cluster techniques retrieve the object of interest from SSOR result and then apply the colors after that it will matches it with existing database images of vehicles.

Keywords

Histogram of Orientated Gradients, Support Vector Machine, Fuzzy.

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