Satellite Image Compression Using Wavelet

Image data is a combination of information and redundancies, the information is part of the data be protected because it contains the meaning and designation data. Meanwhile, the redundancies are part of data that can be reduced, compressed, or eliminated. Problems that arise are related to the nature of image data that spends a lot of memory. In this paper will compare 31 wavelet function by looking at its impact on PSNR, compression ratio, and bits per pixel (bpp) and the influence of decomposition level of PSNR and compression ratio. Based on testing performed, Haar wavelet has the advantage that is obtained PSNR is relatively higher compared with other wavelets. Compression ratio is relatively better than other types of wavelets. Bits per pixel is relatively better than other types of wavelet

Cybersecurity: Past, Present and Future

The digital transformation has created a new digital space known as cyberspace. This new cyberspace has improved the workings of businesses, organizations, governments, society as a whole, and day to day life of an individual. With these improvements come new challenges, and one of the main challenges is security. The security of the new cyberspace is called cybersecurity. Cyberspace has created new technologies and environments such as cloud computing, smart devices, IoTs, and several others. To keep pace with these advancements in cyber technologies there is a need to expand research and develop new cybersecurity methods and tools to secure these domains and environments. This book is an effort to introduce the reader to the field of cybersecurity, highlight current issues and challenges, and provide future directions to mitigate or resolve them. The main specializations of cybersecurity covered in this book are software security, hardware security, the evolution of malware, biometrics, cyber intelligence, and cyber forensics. We must learn from the past, evolve our present and improve the future. Based on this objective, the book covers the past, present, and future of these main specializations of cybersecurity. The book also examines the upcoming areas of research in cyber intelligence, such as hybrid augmented and explainable artificial intelligence (AI). Human and AI collaboration can significantly increase the performance of a cybersecurity system. Interpreting and explaining machine learning models, i.e., explainable AI is an emerging field of study and has a lot of potentials to improve the role of AI in cybersecurity.Comment: Author's copy of the book published under ISBN: 978-620-4-74421-

Novel classes of side channels and covert channels

When assessing the security of security-critical systems, it is crucial to consider conceptually new attacks, as appropriate countermeasures can only be implemented against known threats. Consequently, in this thesis we explore new classes of attacks and evaluate countermeasures. Our contribution is three-fold. We identify two previously unknown side channel attacks, i.e., attacks that exploit unintended information leakage. First, we consider optical emanations, i.e., the unavoidable emanation of every monitor. We demonstrate how to exploit tiny reflections in stationary objects and the human eye, and even diffuse reflections in objects such as the user';s shirt. Second, we study acoustic emanations of dot-matrix printers and show that the printed text can be reconstructed from a recording of the sound emitted while printing. Furthermore, we demonstrate a conceptually new covert channel: whereas side channels leak information unintentionally, in a covert channel there is an explicit sender that cooperates with the receiver. We present a new covert channel in the peer-reviewing process in scientific publishing that reveals the reviewer';s identity to the author. We additionally expose several related problems in the design of the PostScript language.Das Aufdecken neuer Arten von Angriffen ist wichtig zur Verbesserung der Sicherheit von sicherheitskritischen Systemen, da nur für bekannte Angriffe Gegenmaßnahmen ergriffen werden können. Deshalb untersuchen wir in dieser Arbeit neue Arten von Angriffen sowie geeignete Gegenmaßnahmen. Die Arbeit gliedert sich in drei Teile. Zunächst demonstrieren wir zwei neue Seitenkanalangriffe, also Angriffe die unbeabsichtigte Informationslecks ausnutzen. Zum Einen betrachten wir optische Abstrahlungen von Monitoren. Wir zeigen, dass das Bild des Monitors aus Reflexionen in verschiedenen Objekten rekonstruiert werden kann: aus winzigen Reflexionen in vielen stationären Objekten sowie im menschlichen Auge, und sogar aus diffusen Reflexionen beispielsweise auf dem Hemd eines Nutzers. Zum Anderen untersuchen wir die akustischen Abstrahlungen von Nadeldruckern und zeigen, dass der gedruckte Text aus einer Aufnahme der Druckgeräusche rekonstruiert werden kann. Des Weiteren demonstrieren wir einen neuen verdeckten Kanal: Während Seitenkanäle normalerweise durch unvorsichtige Implementierung entstehen, werden die Daten auf einem verdeckten Kanal absichtlich übertragen. Wir demonstrieren einen neuen verdeckten Kanal im Peer-Review-Prozess zur Begutachtung wissenschaftlicher Publikationen, welcher die Identität der Gutachter offenlegt. Darüberhinaus weisen wir auf mehrere grundlegende Probleme im Design der PostScript Sprache hin

Introductory Computer Forensics

INTERPOL (International Police) built cybercrime programs to keep up with emerging cyber threats, and aims to coordinate and assist international operations for ?ghting crimes involving computers. Although signi?cant international efforts are being made in dealing with cybercrime and cyber-terrorism, ?nding effective, cooperative, and collaborative ways to deal with complicated cases that span multiple jurisdictions has proven dif?cult in practic

Европейский и национальный контексты в научных исследованиях

В настоящем электронном сборнике «Европейский и национальный контексты в научных исследованиях. Технология» представлены работы молодых ученых по геодезии и картографии, химической технологии и машиностроению, информационным технологиям, строительству и радиотехнике. Предназначены для работников образования, науки и производства. Будут полезны студентам, магистрантам и аспирантам университетов.=In this Electronic collected materials “National and European dimension in research. Technology” works in the fields of geodesy, chemical technology, mechanical engineering, information technology, civil engineering, and radio-engineering are presented. It is intended for trainers, researchers and professionals. It can be useful for university graduate and post-graduate students

An Approach to Guide Users Towards Less Revealing Internet Browsers

When browsing the Internet, HTTP headers enable both clients and servers send extra data in their requests or responses such as the User-Agent string. This string contains information related to the sender’s device, browser, and operating system. Previous research has shown that there are numerous privacy and security risks result from exposing sensitive information in the User-Agent string. For example, it enables device and browser fingerprinting and user tracking and identification. Our large analysis of thousands of User-Agent strings shows that browsers differ tremendously in the amount of information they include in their User-Agent strings. As such, our work aims at guiding users towards using less exposing browsers. In doing so, we propose to assign an exposure score to browsers based on the information they expose and vulnerability records. Thus, our contribution in this work is as follows: first, provide a full implementation that is ready to be deployed and used by users. Second, conduct a user study to identify the effectiveness and limitations of our proposed approach. Our implementation is based on using more than 52 thousand unique browsers. Our performance and validation analysis show that our solution is accurate and efficient. The source code and data set are publicly available and the solution has been deployed

Privacy-preserving inpainting for outsourced image

In this article, a framework of privacy-preserving inpainting for outsourced image and an encrypted-image inpainting scheme are proposed. Different with conventional image inpainting in plaintext domain, there are two entities, that is, content owner and image restorer, in our framework. Content owner first encrypts his or her damaged image for privacy protection and outsources the encrypted, damaged image to image restorer, who may be a cloud server with powerful computation capability. Image restorer performs inpainting in encrypted domain and sends the inpainted and encrypted image back to content owner or authorized receiver, who can acquire final inpainted result in plaintext domain through decryption. In our encrypted-image inpainting scheme, with the assist of Johnson–Lindenstrauss transform that can preserve Euclidean distance between two vectors before and after encryption, the best-matching block with the smallest distance to current block can be found and utilized for patch filling in Paillier-encrypted image. To eliminate mosaic effect after decryption, weighted mean filtering in encrypted domain is conducted with Paillier homomorphic properties. Experimental results show that our privacy-preserving inpainting framework can be effectively applied in secure cloud computing, and the proposed encrypted-image inpainting scheme achieves comparable visual quality of inpainted results with some typical inpainting schemes in plaintext domain

TIME, SPACE, AND IDENTITY IN POPE MEMES: A MULTIMODAL ANALYSIS

General Linguistic