Systematizing Decentralization and Privacy: Lessons from 15 Years of Research and Deployments

Decentralized systems are a subset of distributed systems where multiple authorities control different components and no authority is fully trusted by all. This implies that any component in a decentralized system is potentially adversarial. We revise fifteen years of research on decentralization and privacy, and provide an overview of key systems, as well as key insights for designers of future systems. We show that decentralized designs can enhance privacy, integrity, and availability but also require careful trade-offs in terms of system complexity, properties provided, and degree of decentralization. These trade-offs need to be understood and navigated by designers. We argue that a combination of insights from cryptography, distributed systems, and mechanism design, aligned with the development of adequate incentives, are necessary to build scalable and successful privacy-preserving decentralized systems

Review of Basic Secure Routing Protocols for MANETs

A Mobile ad hoc networks faces challenges in secure communications. The resource constraints on nodes in MANETs limit the cryptographic measures used to secure messages. Thus it is susceptible to link attacks ranging from passive eavesdropping to active impersonation, message replay and message distortion. Secure routing in MANETs is one of the most emerging areas of research. Designing a foolproof secure routing protocol is a challenging task due to its unique network characteristics. Number of secure routing protocols already developed but these are not work under different attacks.Availability of network services, confidentiality and integrity of the data can be achieved by ensuring that security issues have been met. In this paper the basic secured routing protocols used for MANETs are reviewed. Further this study will help the researchers to get an overview of the existing secure routing protocols and suggest which protocols may perform better with respect to varying network scenarios under different attacks

A secure method to detect wormhole attack in mobile adhoc network

According to recent advances in wireless telecommunications, the performance and use of wireless technologies has increased extremely. In this study concerned on the Mobile Ad-hoc Network (MANET) is a collection of self-configuring mobile node without any infrastructure. There are different security flaws and attacks on the routing protocols in the MANET. One of the critical threats is the wormhole attacks, which have attracted a great deal of attention over the years. The wormhole attack can affect the performance of different routing protocols. During this attack, a malicious node captures packets from one location in the network, and “tunnels” them to another malicious node at a distant point, which replays them locally. This study presents a review of the most important solutions for counteracting wormhole attacks, as well as presents proposed method on DSR routing protocol for detecting them. The performance of the proposed method was examined through ns-2 simulations. Hence, the results show that proposed method can detect this serious attack in a Mobile Adhoc Network

Bio-inspired enhancement of reputation systems for intelligent environments

Providing security to the emerging field of ambient intelligence will be difficult if we rely only on existing techniques, given their dynamic and heterogeneous nature. Moreover, security demands of these systems are expected to grow, as many applications will require accurate context modeling. In this work we propose an enhancement to the reputation systems traditionally deployed for securing these systems. Different anomaly detectors are combined using the immunological paradigm to optimize reputation system performance in response to evolving security requirements. As an example, the experiments show how a combination of detectors based on unsupervised techniques (self-organizing maps and genetic algorithms) can help to significantly reduce the global response time of the reputation system. The proposed solution offers many benefits: scalability, fast response to adversarial activities, ability to detect unknown attacks, high adaptability, and high ability in detecting and confining attacks. For these reasons, we believe that our solution is capable of coping with the dynamism of ambient intelligence systems and the growing requirements of security demands

Integrated Framework for Secure and Energy Efficient Communication System in Heterogeneous Sensory Application

Irrespective of different forms and strategies implementing for securing Wireless Sensor Network (WSN), there are very less strategies that offers cost effective security over heterogeneous network. Therefore, this paper presents an integrated set of different processes that emphasize over secure routing, intellectual and delay-compensated routing, and optimization principle with a sole intention of securing the communication to and from the sensor nodes during data aggregation. The processed system advocates the non-usage of complex cryptography and encourages the usage of probability their and analytical modelling in order to render more practical implementation. The simulated outcome of study shows that proposed system offers reduced delay, more throughputs, and reduced energy consumption in contrast to existing system

Interpreting AI for Networking: Where We Are and Where We Are Going

In recent years, artificial intelligence (AI) techniques have been increasingly adopted to tackle networking problems. Although AI algorithms can deliver high-quality solutions, most of them are inherently intricate and erratic for human cognition. This lack of interpretability tremendously hinders the commercial success of AI-based solutions in practice. To cope with this challenge, networking researchers are starting to explore explainable AI (XAI) techniques to make AI models interpretable, manageable, and trustworthy. In this article, we overview the application of AI in networking and discuss the necessity for interpretability. Next, we review the current research on interpreting AI-based networking solutions and systems. At last, we envision future challenges and directions. The ultimate goal of this article is to present a general guideline for AI and networking practitioners and motivate the continuous advancement of AI-based solutions in modern communication networks