Abstract Android applications are widely used by millions of users to perform many activities. Unfortunately, legitimate and popular applications are targeted by malware authors and they repackage the existing applications by injecting additional code intended to perform malicious activities without the knowledge of end users. Thus, it is important to validate applications for possible repackaging before their installation to safeguard end users. This... Android applications are widely used by millions of users to perform many activities. Unfortunately, legitimate and popular applications are targeted by malware authors and they repackage the existing applications by injecting additional code intended to perform malicious activities without the knowledge of end users. Thus, it is important to validate applications for possible repackaging before their installation to safeguard end users. This paper presents the detection of repackaged malware application based on Kullback-Leibler Divergence (KLD) metric. Our approach builds the population distribution of a legitimate and suspected repackaged malware application based on a set of Smali opcode. A high KLD value indicates that an application is dissimilar compared to an original application, hence likely a repackaged application. The approach has been validated based on real-world malware samples and repackaging them to a legitimate application. The results indicate that KLD values remain high for all the malware when repackaged within a legitimate application, and hence can be used as a suitable metric for detection of new malware. Read More Read Less

Abstract Cloud computing is a revolutionary new approach to how computing services are produced and consumed. It is a concept of sharing resources and giving them as essential resources. Using cloud computing resources, data, computations, and services can be shared over scalable network of nodes; these nodes may represent the datacenters, cloud users and web services. On the same note cloud storage talk... Cloud computing is a revolutionary new approach to how computing services are produced and consumed. It is a concept of sharing resources and giving them as essential resources. Using cloud computing resources, data, computations, and services can be shared over scalable network of nodes; these nodes may represent the datacenters, cloud users and web services. On the same note cloud storage talk about storing the data on a remote storage located at other organization’s infrastructure. The data storage is maintained and managed by the organization; the user will pay for the storage space which is used. Outsourcing data ultimately relinquishes the control of data from user and the lot of data is in control of the cloud server. The cloud server is succeeded by cloud service provider which is a different administrative entity, so ensuring the data integrity is of prime importance. This paper studies the problems of ensuring data storage correctness and proposes an effective and secure scheme to address these issues. A third party auditor (TPA) is introduced securely. Who will on behalf of users request will periodically verify the data integrity of the data stored on cloud server. There will not be any online burden on user and security of data will be maintained as the data will not be shared directly with the third party auditor. A homomorphic encryption scheme is used to encrypt the data by using Elliptic curve Digital Signature Algorithm (ECDSA) which will be shared with the TPA. ECDSA provides efficient and secure solutions for the cloud storage servers. It leads to fast computation time, reducing in processing power, save the storage and bandwidth. The results can be further extended to enable the third party auditor to do multiple auditing simultaneously Read More Read Less

Abstract In this paper, a novel technique for robust digital image watermarking is proposed using cubic product codes (CPC). Cubic product codes are three dimensional product codes where the constituent codes in each dimension are linear block codes. The structure of CPC makes them suitable for the proposed scheme. The embedded watermark is vulnerable to various attacks on the image like compression, noise and... In this paper, a novel technique for robust digital image watermarking is proposed using cubic product codes (CPC). Cubic product codes are three dimensional product codes where the constituent codes in each dimension are linear block codes. The structure of CPC makes them suitable for the proposed scheme. The embedded watermark is vulnerable to various attacks on the image like compression, noise and geometric attacks namely translation rotation and scaling (TRS) etc. This could limit the performance of digital watermarking. Our proposal is to encode the watermark with CPC prior to embedding in the image. This could easily be done because the watermark is also a three dimensional data (image), so each dimension can easily be encoded with corresponding codes in CPC. A modified iterative decoding algorithm (MIDA) is employed to decode the CPC. Moreover, a Fuzzy Rule Based System is used to find the region in the image where watermark can be embedded. The scheme is tested against various attacks and compared with the well-known schemes in the literature for robust digital image watermarking. Read More Read Less

Abstract Recently, Cloud Computing is a new paradigm trend in network environments that handles and manages a vast number of users by sharing services and data, for achieving this mission; safety and security of shared services and data are the main concerns for this type of environment. Intrusion Detection is an effective technique used to deal with security violations in such environment. Here, an... Recently, Cloud Computing is a new paradigm trend in network environments that handles and manages a vast number of users by sharing services and data, for achieving this mission; safety and security of shared services and data are the main concerns for this type of environment. Intrusion Detection is an effective technique used to deal with security violations in such environment. Here, an Anomaly Intrusion Detection model of cloud environment will be proposed which based on using hybrid artificial intelligent algorithms; Hopfield neural networks simulated annealing. Read More Read Less