An Introduction to MultiAgent Systems.

http://wpage.unina.it/valerio.persico/pubs/CloudIoT_FGCS.pdf

Integration of Cloud computing and Internet of Things

In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.

PORs: Proofs of Retrievability for Large Files

IoT security: Review, blockchain solutions, and open challenges

Review: Intrusion detection system: A comprehensive review

Ad hoc mobile networks (MANET) vary greatly depending on their application area and environment in which they work. We have presented a brief review of the state of the art security scenario for MANETs and also pinpointed some of the loopholes of the existing intrusion detection systems (IDS) before we proposed a new collaborative algorithm called IDSX. The proposed IDSX offers an extended architecture and is compatible with heterogeneous IDS already deployed in the participating nodes. While maintaining a high level of intrusion detection, the proposed solution virtually eliminates the problem of phantom intrusion detection to a great extent by aggregating the locally generated alerts to keep or discard a suspected intruder in a two step process.

IDSX: A Cluster Based Collaborative Intrusion Detection Algorithm for Mobile Ad-Hoc Network

Security of Wireless sensor network (WSN) becomes a very important issue with the rapid development of WSN that is vulnerable to a wide range of attacks due to deployment in the hostile environment and having limited resources.Intrusion detection system is one of the major and efficient defensive methods against attacks in WSN. A particularly devastating attack is the sleep deprivation attack, where a malicious node forces legitimate nodes to waste their energy by resisting the sensor nodes from going into low power sleep mode. The goal of this attack is to maximize the power consumption of the target node, thereby decreasing its battery life. Existing works on sleep deprivation attack have mainly focused on mitigation using MAC based protocols, such as S-MAC, T-MAC, B-MAC, etc. In this article, a brief review of some of the recent intrusion detection systems in wireless sensor network environment is presented. Finally, we propose a framework of cluster based layered countermeasure that can efficiently mitigate sleep deprivation attack in WSN. Simulation results on MATLAB exhibit the effectiveness of the proposed model in detecting sleep-deprivation attacks.

A Survey of Recent Intrusion Detection Systems for Wireless Sensor Network

Deployment of sensor network in hostile environment makes it mainly vulnerable to battery drainage attacks because it is impossible to recharge or replace the battery power of sensor nodes. Among different types of security threats, low power sensor nodes are immensely affected by the attacks which cause random drainage of the energy level of sensors, leading to death of the nodes. The most dangerous type of attack in this category is sleep deprivation, where target of the intruder is to maximize the power consumption of sensor nodes, so that their lifetime is minimized. Most of the existing works on sleep deprivation attack detection involve a lot of overhead, leading to poor throughput. The need of the day is to design a model for detecting intrusions accurately in an energy efficient manner. This paper proposes a hierarchical framework based on distributed collaborative mechanism for detecting sleep deprivation torture in wireless sensor network efficiently. Proposed model uses anomaly detection technique in two steps to reduce the probability of false intrusion.

/pdf/sleep-deprivation-attack-detection-in-wireless-sensor-uwj49a5qem.pdf

Sleep Deprivation Attack Detection in Wireless Sensor Network

Cloud based Internet of Things or Cloud of Things has emerged as a platform to allow intelligent usage of collection of applications, information and infrastructure in a cost-effective way. Security is one of the key factor which hampers growth of it. Effective implementation of this framework needs removal of a variety of security threats. In this paper, an insight has been presented for the security issues related to CoT environment. This paper focuses on security and trust issues arising from the usage of cloud services in IoT domain. Secure trusted things as a service has been proposed here to reduce majority of the challenges in Cloud of Things environment. The main focus is on encryption mechanism with less overhead besides a trust model to enable real time decision making authentic.

Secure and trusted cloud of things

An Intelligent Traffic System (ITS) involves a much closer interaction between all of its components: drivers, pedestrians, public transportation and traffic management systems. Adaptive signal systems, driver advisory and route planning and automated vehicles are some of the goals set up to increase the efficiency of actual systems. Vehicular network became one of the most active and emerging fields of research during last decade. Its use in diversified applications (for example safe driving, congestion avoidance, parking assist system and even entertainment) will soon bring revolutionary changes in transportation system. In this paper we have reviewed applications of wireless sensor network towards developing an efficient system to control and manage smooth traffic flow.

Rituparna Chaki

Papers

IDSX: A Cluster Based Collaborative Intrusion Detection Algorithm for Mobile Ad-Hoc Network

A Survey of Recent Intrusion Detection Systems for Wireless Sensor Network

Sleep Deprivation Attack Detection in Wireless Sensor Network

Secure and trusted cloud of things

Applications of wireless sensor network in Intelligent Traffic System: A review