Selective encryption for consumer applications

Security is an increasingly important issue for networked services. However, since networked environments may exhibit varying networking behavior and contain heterogeneous devices with varying resources tunable security services are needed. A tunable security service is a service that provides different security configurations that are selected, and possibly altered, at run-time. In this paper, we propose a conceptual model for analysis and design of tunable security services. The proposed model can be used to describe and compare existing tunable security services and to identify missing requirements. Five previously proposed services are analyzed in detail in the paper. The analysis illustrates the powerfulness of the model, and highlights some key aspects in the design of tunable security services. Based on the conceptual model, we also present a high-level design methodology that can be used to identify the most appropriate security configurations for a particular scenario.

Section: Introductionmentioning

confidence: 99%

A Conceptual Model for Analysis and Design of Tunable Security Services

Lindskog

Faigl

Brunström

2008

JNW

Section: Introductionmentioning

confidence: 99%

“…Image encryption and decryption are particularly timeconsuming [1], hence justifying a compromise solution where image data are only selectively encrypted to reduce the total computational complexity. This concept proves to be effective and efficient considering that the complex interdependence structure among image compression bit streams [1] can be completely hidden by partial encryption. However, there have been very few papers in literature addressing the correlations among such partial encryption methods and the associated wireless transmission approaches, not to mention the corresponding efforts to meet the resource constraints for sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Energy-Constrained Quality Optimization for Secure Image Transmission in Wireless Sensor Networks

Peng

et al. 2007

Advances in Multimedia

Resource allocation for multimedia selective encryption and energy efficient transmission has not been fully investigated in literature for wireless sensor networks (WSNs). In this article, we propose a new cross-layer approach to optimize selectively encrypted image transmission quality in WSNs with strict energy constraint. A new selective image encryption approach favorable for unequal error protection (UEP) is proposed, which reduces encryption overhead considerably by controlling the structure of image bitstreams. Also, a novel cross-layer UEP scheme based on cipher-plain-text diversity is studied. In this UEP scheme, resources are unequally and optimally allocated in the encrypted bitstream structure, including data position information and magnitude value information. Simulation studies demonstrate that the proposed approach can simultaneously achieve improved image quality and assured energy efficiency with secure transmissions over WSNs.

“…Due to the fact that encryption and decryption are unfortunately slow, while image data are often in huge amount, it is impractical to encrypt the whole body of image data for real-time signal processing applications in WSN [2]. To cope with this situation, in the first step, we propose a novel component based partial (or selective) encryption approach to achieve image security as well as fast speed of encryption and decryption for in-network processing.…”

Section: Introductionmentioning

confidence: 99%

An adaptive approach for image encryption and secure transmission over multirate wireless sensor networks

Peng

Wireless Communications

et al. 2007

In this paper, we propose an innovative adaptive secure image delivery approach, to achieve effective and efficient image encryption based on an optimal transmission rate in terms of energy efficiency in wireless sensor networks (WSN). Our contribution is three folds-First, the proposed component based selective encryption scheme achieves high image security, while incurring little encryption overhead; furthermore, the proposed adaptive encryption scheme achieve the best security effort within delay bound; finally, the proposed transmission rate optimization improves energy efficiency, and feeds back effective path capacity parameters for adaptive encryption. Simulation results show a significant gain in both energy efficiency and security based on the proposed approach for image secure transmissions in WSN.