Internet of Things (IoT) is a set of connected smart devices providing and sharing rich data in real-time without involving a human being. However, IoT is a security nightmare because like in the early computer systems, security issues are not considered in the design step. Thereby, each IoT system could be susceptible to malicious users and uses. To avoid these types of situations, many approaches and techniques are proposed by both academic and industrial researches.DNA computing is an emerging and relatively new field dealing with data encryption using a DNA computing concepts. This technique allows rapid and secure data transfer between connected objects with low power consumption. In this paper, authors propose a symmetric cryptography method based on DNA. This method consists in cutting the message to encrypt/decrypt in blocks of characters and use a symmetric key extracted from a chromosome for encryption and decryption. Implemented on the embedded platform of a Raspberry Pi, the proposed method shows good performances in terms of robustness, complexity and attack resistance.

Abstract-To teach, teacher needs help for sharing these educational documents, and especially his knowledge. We present an approach to overcome the difficulty of sharing educational materials and facilitate access to content; we describe semantically these documents to make them accessible and available to different users. The main idea in our annotation approach is based on: (1) Identify key words in a document, to have a good presentation of the document, we extract the candidate words by applying a weighting process and another process using similarity measure, These keywords candidates are reconciled with ontology to determine the appropriate concepts. (2) As document reference generally other documents, we propagate the annotations of references for citing document. (3) A process of validation will be applied each time an annotation is added in order to keep the coherence of the base of annotation.After evaluation with several types of pedagogic documents, our approach achieved a good performance; this suggests that teachers can be greatly helped for the semantic annotation of their pedagogical documents.

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Electronic mail has become one of the most popular and frequently used channels for personal and professional online communication. Despite its benefits, e-mail faces a major security problem, which is the daily reception of a large number of unsolicited electronic messages, known as “spam emails.” Today, most electronic mail systems have simple spam filtering mechanisms based on text spam filtering technologies. To circumvent these filters, spammers are introducing new techniques of embedding spam messages in the image attached to the mail. In this article, the authors propose a new method for spam image filtering. The proposed system can distinguish between legitimate images from spam images based on the texture characteristics of the image attached to an email. From each image, around 20 characteristics can be extracted from the gray level co-occurrence matrix (GLCM). Then, to classify the images as spam or ham, the authors use a new metaheuristic nature-inspired model for building classifiers based on the social worker bees and enhanced nearest-centroid classification method.

The integrity and confidentiality of transmitted data are the main requirements of any data security system. To achieve these goals, many techniques have been developed, including cryptography and steganography. Recently, DNA-based steganography has emerged as a very powerful and promising approach to ensure the safety of sensitive information transmitted over an untrusted channel. In this paper, a two-level encryption/decryption scheme combining cryptography and steganography is proposed. First, the plain-text is concealed in a cover image by scattering its letters over randomly selected pixels. Then, the modified image is encrypted by encoding its pixels in a DNA sequence using a symmetric key. Simulations have shown that the proposed scheme is more robust than any other system based on standalone techniques and requires less computing resources.