Kali: Scalable encryption fingerprinting in dynamic malware traces

2017 ◽  
Author(s):  
Lorenzo De Carli ◽  
Ruben Torres ◽  
Gaspar Modelo-Howard ◽  
Alok Tongaonkar ◽  
Somesh Jha
Keyword(s):  
Scalable Encryption

A Content-Independent Scalable Encryption Model

2004 ◽  
pp. 821-830 ◽  
Author(s):  
Stefan Lindskog ◽  
Johan Strandbergh ◽  
Mikael Hackman ◽  
Erland Jonsson
Keyword(s):  
Scalable Encryption

Multimedia Encryption and Watermarking in Wireless Environment

2008 ◽  
pp. 236-255 ◽  
Author(s):  
Shiguo Lian
Keyword(s):  
Low Cost ◽  
Wireless Multimedia ◽  
Content Authentication ◽  
Partial Encryption ◽  
Transmission Errors ◽  
Wireless Environment ◽  
Encryption Algorithms ◽  
Scalable Encryption ◽  
Multimedia Watermarking ◽  
Multimedia Encryption

In a wireless environment, multimedia transmission is often affected by the error rate; delaying; terminal’s power or bandwidth; and so forth, which brings difficulties to multimedia content protection. In the past decade, wireless multimedia protection technologies have been attracting more and more researchers. Among them, wireless multimedia encryption and watermarking are two typical topics. Wireless multimedia encryption protects multimedia content’s confidentiality in wireless networks, which emphasizes on improving the encryption efficiency and channel friendliness. Some means have been proposed, such as the format-independent encryption algorithms that are time efficient compared with traditional ciphers; the partial encryption algorithms that reduce the encrypted data volumes by leaving some information unchanged; the hardware-implemented algorithms that are more efficient than software based ones; the scalable encryption algorithms that are compliant with bandwidth changes; and the robust encryption algorithms that are compliant with error channels. Compared with wireless multimedia encryption, wireless multimedia watermarking is widely used in ownership protection, traitor tracing, content authentication, and so forth. To keep low cost, a mobile agent is used to partitioning some of the watermarking tasks. To counter transmission errors, some channel encoding methods are proposed to encode the watermark. To keep robust, some means are proposed to embed a watermark into media data of low bit rate. Based on both watermarking and encryption algorithms, some applications arise, such as secure multimedia sharing or secure multimedia distribution. In this chapter, the existing wireless multimedia encryption and watermarking algorithms are summarized according to the functionality and multimedia type; their performances are analyzed and compared; the related applications are presented; and some open issues are proposed.

A Block Compressive Sensing Based Scalable Encryption Framework for Protecting Significant Image Regions

2016 ◽  
Vol 26 (11) ◽  
pp. 1650191 ◽  
Author(s):  
Yushu Zhang ◽  
Jiantao Zhou ◽  
Fei Chen ◽  
Leo Yu Zhang ◽  
Di Xiao ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Random Matrices ◽  
Random Matrix ◽  
Chaotic Maps ◽  
Sampling Rate ◽  
Equal Size ◽  
Edge Detector ◽  
Scalable Encryption ◽  
Significant Block ◽  
Block Encryption

The existing Block Compressive Sensing (BCS) based image ciphers adopted the same sampling rate for all the blocks, which may lead to the desirable result that after subsampling, significant blocks lose some more-useful information while insignificant blocks still retain some less-useful information. Motivated by this observation, we propose a scalable encryption framework (SEF) based on BCS together with a Sobel Edge Detector and Cascade Chaotic Maps. Our work is firstly dedicated to the design of two new fusion techniques, chaos-based structurally random matrices and chaos-based random convolution and subsampling. The basic idea is to divide an image into some blocks with an equal size and then diagnose their respective significance with the help of the Sobel Edge Detector. For significant block encryption, chaos-based structurally random matrix is applied to significant blocks whereas chaos-based random convolution and subsampling are responsible for the remaining insignificant ones. In comparison with the BCS based image ciphers, the SEF takes lightweight subsampling and severe sensitivity encryption for the significant blocks and severe subsampling and lightweight robustness encryption for the insignificant ones in parallel, thus better protecting significant image regions.

A Lightweight Authentication Protocol for Secure Communications between Resource-Limited Devices and Wireless Sensor Networks

2014 ◽  
Vol 8 (4) ◽  
pp. 62-102 ◽  
Author(s):  
Piotr Książak ◽  
William Farrelly ◽  
Kevin Curran
Keyword(s):  
Secure Communications ◽  
Security Threats ◽  
Wireless Devices ◽  
Security Framework ◽  
Lightweight Cryptography ◽  
Processing Power ◽  
Resource Limited ◽  
Scalable Encryption ◽  
Lightweight Authentication ◽  
Space Requirements

The number of Resource-Limited Wireless Devices utilized in many areas of IT is growing rapidly. Some of the applications of these devices pose real security threats that can be addressed using authentication and cryptography. Many of the available authentication and encryption software solutions are predicated on the availability of ample processing power and memory. These demands cannot be met by the majority of ubiquitous computing devices, thus there is a need to apply lightweight cryptography primitives and lightweight authentication protocols that meet these demands in any application of security to devices with limited resources. A security framework is presented here that combines aspects of the Gossamer protocol and the Scalable Encryption Algorithm (SEA) to provide an implementation of inter-device security. The Gossamer Protocol is additionally used as a means of exchanging session keys for use with the SEA encryption protocol. Our system performed well with the code space requirements smaller than 600 bytes (excluding shared libraries) and a performance of 27 milliseconds per one 96-bit block of data.

Sign in / Sign up

Export Citation Format

Share Document