Withe the growth rate of smartphones, we are daily witness malwares which sits on them confidential information such as financial information and transactions, mobile banking, contact information and even steal SMS messages. One of the major damage that malware can cause the formation of mobile cellular botnets. According to statistics published in 2014, F-secure site on mobile malware threats every 5 botnet threat is one of them. The term botnet refers to a group of mobile smartphones to remotely influenced by the Director of the bot command and control channel for the control activities. In this paper, the new plans provided by mobile botnets from three points of distribution, channel botnet command and control and topology will be reviewed and ways to deal with this threat are briefly presented.

In the past decade with distribution software such as browsers, online stores, Internet banking, electronic mail systems and the Internet, to carry out reverse engineering attacks, illegal use of illegal software or reproduce it is.A new attack techniques have failed and this creates competition between the attackers and software developers. So far, many techniques based architecture, hardware and software for this semester has been introduced to protect each aspect of the application process. In this paper, we introduce a variety of threats to software and then try to categorize and review of techniques to protect our software.

Authenticated Encryption is a block cipher mode of operation which simultaneously provides confidentiality, integrity, and authenticity assurances on the data transmition. In this regard in 2014 CAESAR competition started which aims at finding authenticated encryption schemes that offer advantages over AES-GCM and are suitable for widespread adoption. This paper provides an easy-to-grasp overview over functional aspects, security parameters, and robustness offerings of the CAESAR candidates, clustered by their underlying designs (block-cipher-, stream-cipher-, permutation-/sponge-, compression-function-based, dedicated) and compares encryption/decryption speed of all CAESAR candidates implemented on three processors of three different architectures  AMD64, armeabi and  mipso32.

Data collection and storage has facilitated by the growth in electronic services, and has led to recording vast amounts of personal information in public and private organizations' databases. These records often include sensitive personal information (such as income and diseases) and must be covered from others access. But in some cases, mining the data and extraction of knowledge from these valuable sources, creates the need for sharing them with other organizations. This would bring security challenges in users' privacy. “Privacy preserving data publishing” is a solution to ensure secrecy of sensitive information in a data set, after publishing it in a hostile environment. This process aimed to hide sensitive information and keep published data suitable for knowledge discovery techniques. Grouping data set records is a broad approach to data anonymization. This technique prevents access to sensitive attributes of a specific record by eliminating the distinction between a number of data set ‌records. In this paper an overview of privacy preserving Data Publishing Techniques will be presented.