This paper researches on cloud computing based-on authentication for the security verification using Elliptic Curve Digital Signature Algorithm (ECDSA). The study structure simply focuses on the communication interaction of the Cloud providing communities and a pictured Smartphone user. The Elliptic Curve Cryptosystem is envisioned as the basic framework for data transmission security in the paper that proffers solution. We reviewed various literatures on the elliptic curves and applied the cyclic elliptic curve group based-on finite field modulo q. With the theory established, we applied the Elliptic Curve Digital Signature Algorithm as developed by ElGamal to carry out some exemplified computational sequences. The detail of the computational algorithm was done in Mathematica as given by (Jouko, 2011) with no modifications except in its translational interpretation to fit into cloud computing security environment as maybe applied by the cloud providing communities to accelerate and meeting the needs of the users on-demand as a service with embedding security consideration. Our contribution to the cloud computing environment is brought about through computational experimental activities as exemplified in this field for interactive security awareness through digital signature authenticating mechanism.

In recent past, there are a lot of research advancements in mobile forensics tools. This is so due to increase usage of mobile phones in storage of information, law enforcement, mobile online transactions, and also negatively by criminals due to increased computational capabilities. Mobile forensics devices continue to remain a very challenging task due to poor user data retrieval techniques for evidence retrieval. Recently, third party applications assume a veritable feet because it is supported by majority of mobile devices platforms, thereby making it easy to extract information of its users' for future criminal audit. This paper proposes an evidence data retrieval method from InstagramApp using two networks-based platforms [that is, pure peer-to-peer (PPP) and special cluster peer (SCP)-based], whose concept is to manage mobile device communication and generate multiple copies of users data/information to be dumped across three servers. The forensic test results were obtained from PPP and SCP developed to securely extract data from mobile devices. This shows that, SCP outperformed PPP in terms of the time taken to fulfil forensic auditor's request, throughput and broadband utilisation which are 42.82% to 57.18%, 56.81% to 43.19% and 35.41% to 64.53% respectively.

In recent past, there are a lot of research advancements in mobile forensics tools. This is so due to increase usage of mobile phones in storage of information, law enforcement, mobile online transactions, and also negatively by criminals due to increased computational capabilities. Mobile forensics devices continue to remain a very challenging task due to poor user data retrieval techniques for evidence retrieval. Recently, third party applications assume a veritable feet because it is supported by majority of mobile devices platforms, thereby making it easy to extract information of its users' for future criminal audit. This paper proposes an evidence data retrieval method from InstagramApp using two networks-based platforms [that is, pure peer-to-peer (PPP) and special cluster peer (SCP)-based], whose concept is to manage mobile device communication and generate multiple copies of users data/information to be dumped across three servers. The forensic test results were obtained from PPP and SCP developed to securely extract data from mobile devices. This shows that, SCP outperformed PPP in terms of the time taken to fulfil forensic auditor's request, throughput and broadband utilisation which are 42.82% to 57.18%, 56.81% to 43.19% and 35.41% to 64.53% respectively.

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