INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Interested in submitting to this journal? We recommend that you review the About the Journal page for the journal's section policies, as well as the Author Guidelines. Authors need to register with the journal prior to submitting or, if already registered, can simply log in and begin the five-step process. en-US <p>Authors retain the copyright of their manuscripts, and all Open Access articles are distributed under the terms of the&nbsp;<a href="">Creative Commons Attribution License</a>, which permits unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.</p> <p>&nbsp;</p> (Gurdev Singh) (Gurpreet Singh) Tue, 06 Nov 2018 00:00:00 +0000 OJS 60 Enhanced Cloud Security using Hybrid Mechanism of RSA, AES and Blowfish Data Encryption with Secure OTP <p>Cloud Computing has become one of the most talked about technologies in recent times and has got lots of attention from media as well as analysts because it is offering lots of opportunities. Enterprises have been determined to reduce computing costs and for that reason most of them started using it in IT technology then adapted virtualization technology. Cloud computing has revolutionized the way computing and software services are delivered to the clients on demand. It offers users the ability to connect to computing resources and access IT managed services with a previously unknown level of ease. Thus, security concerns among users of the cloud have become a major barrier to the widespread growth of cloud computing. In this research work, we have used the 3 step security mechanism for the keeping the data secure at the cloud. We have implemented the strong authentication mechanism using md5 encrypted OTP and enhanced the security of data using Cloud Broker and RSA, Blowfish and AES.&nbsp; When you log on to your machine and then try to access a resource, say a file server or database, something needs to assure that your username and password are valid. With sensitive data stored in the cloud of the different users, we need a strong authentication mechanism along with OTP. Data breaches because of no/weak authentication. Afterwards we have verified the integrity of data stored at cloud provider using SHA2. Multiple parameters like processing time, processing cost, AES,RSA and blowfish encryption time, OTP generation and encryption time have been calculated and analyzed. We have been able to enhance the security by optimizing the processing time as well as processing cost. After implementing the proposed methodology, it has been summarized that the cloud security can be enhanced by applying the proposed mechanism. The proposed system has reduced the complexity, processing cost which increases the overall efficiency of the system.</p> Gurjeet Singh, Dr. Mohita Garg ##submission.copyrightStatement## Tue, 06 Nov 2018 00:00:00 +0000 Face Detection & Recognition using Tensor Flow: A Review <p>Face recognition has become a popular topic of research recently due to increases in demand for security as well as the rapid development of mobile devices. There are many applications which face recognition can be applied to such as access control, identity verification, security systems, surveillance systems, and social media networks. Access control includes offices, computers, phones, ATMs, etc. Most of these forms currently do not use face recognition as the standard form of granting entry, but with advancing technologies in computers along with more refined algorithms, facial recognition is gaining some traction in replacing passwords and fingerprint scanners. Ever since the events of 9/11 there has been a more concerned emphasis on developing security systems to ensure the safety of innocent citizens. Namely in places such as airports and border crossings where identification verification is necessary, face recognition systems potentially have the ability to mitigate the risk and ultimately prevent future attacks from occurring. As for surveillance systems, the same point can be made if there are criminals on the loose. Surveillance cameras with face recognition abilities can aide in efforts of finding these individuals. Alternatively, these same surveillance systems can also help identify the whereabouts of missing persons, although this is dependent on robust facial recognition algorithms as well as a fully developed database of faces. And lastly, facial recognition has surfaced in social media applications on platforms such as Facebook which suggest users to tag friends who have been identified in pictures. It is clear that there are many applications the uses for facial recognition systems. In general, the steps to achieve this are the following: face detection, feature extraction, and lastly training a model.</p> Ishaan Chawla ##submission.copyrightStatement## Tue, 06 Nov 2018 00:00:00 +0000 Image Encryption Using Chaotic Cat Mapping in the Discrete Fourier Transform <p>The paper presents an secure image using the two dimensional chaotic cat mapping &nbsp;(2D-CCM) in the Discrete Fourier Transform domain (DFT). The ciphering phase begins by applying the DFT on the plainimage to be encrypted and the resulted Fourier transformed image are scrambled using the 2D-CCM and finally an inverse DFT is applied to obtain the final encrypted image. The decryption phase applies a reverse&nbsp; procedure to get the original plainimage. A set of encryption test experiments are employed to inspect the proposed DFT based 2D-CCM image cryptosystem. The experimental results verified and confirmed the superiority of the proposed DFT based 2D-CCM image cryptosystem.</p> Mohammed Alzain ##submission.copyrightStatement## Thu, 29 Nov 2018 04:48:24 +0000