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

Heterogeneous wireless sensor networks (HWSNET) are more suitable for real life applications as compared to the homogeneous counterpart. Security of HWSNET becomes a very important issue with the rapid development of HWSNET. Intrusion detection system is one of the major and efficient defensive methods against attacks in HWSNET. Because of different constraints of sensor networks, security solutions have to be designed with limited usage of computation and resources. A particularly devastating attack is the sleep deprivation attack. Here a malicious node forces legitimate nodes to waste their energy by resisting the sensor nodes from going into low power sleep mode. The target of this attack is to maximize the power consumption of the affected 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 (sensor MAC), T-MAC (timeout MAC), B-MAC (Berkley MAC), G-MAC ( gateway MAC). In this article, a brief review of some of the recent intrusion detection systems in wireless sensor network environment is presented. Finally, a framework of cluster based layered countermeasure for Insomnia Detection has been proposed for heterogeneous wireless sensor network (HWSNET) to efficiently detect sleep deprivation attack. Simulation results on MATLAB exhibit the effectiveness of the proposed model.

Lightweight hierarchical model for hwsnet

Internet of Things is a novel concept that semantically implies a world-wide network of uniquely addressable interconnected smart objects. It is aimed at establishing any paradigm in computing. This environment is one where the boundary between virtual and physical world is eliminated. As the network gets loaded with hitherto unknown applications, security threats also become rampant. Current security solutions fail as new threats appear to destruct the reliability of information. The network has to be transformed to IPv6 enabled network to address huge number of smart objects. Thus new addressing schemes come up with new attacks. Real time analysis of information from the heterogeneous smart objects needs use of cloud services. This can fall prey to cloud specific security threats. Therefore need arises for a review of security threats for a new area having huge demand. Here a study of security issues in this domain is briefly presented.

/pdf/study-of-security-issues-in-pervasive-environment-of-next-2lqafywacz.pdf

Study of Security Issues in Pervasive Environment of Next Generation Internet of Things

Due to deployment in hostile environment, wireless sensor network is vulnerable to various attacks. Exhausted sensor nodes in sensor network become a challenging issue because it disrupts the normal connectivity of the network. Affected nodes give rise to denial of service that resists to get the objective of sensor network in real life. A mathematical model based on Absorbing Markov Chain (AMC)is proposed for Denial of Sleep attack detection in sensor network. In this mechanism, whether sensor network is affected by denial of sleep attack or not can be decided by considering expected death time of sensor network under normal scenario.

AMC Model for Denial of Sleep Attack Detection

Aged people, patients with chronic disease, patients at remote location need continuous monitoring under healthcare professionals. Remote health monitor is likely to be an effective approach to provide healthcare service in a simple and cost effective way. However, effective implementation of this type of framework needs consideration of variety of security threats. In this paper, a layer based remote health monitor framework is proposed to analyze health condition of patients from remote places. Beside this, a multi-modal biometric authentication mechanism is proposed here to reduce misuse of health data and biometrics templates in heterogeneous cloud environment. Main focus of the paper is to design semi-continuous authentication mechanism after establishing mutual 1:1 trust relationship among the participants in cloud environment. Behavioral biometrics keystroke analysis is fused with physiological biometrics face recognition to enhance accuracy of authentication. Instead of considering traditional performance evaluation parameters for biometrics, this paper considers a few performance metrics for determining efficiency of semi-continuous verification of the proposed framework.

/pdf/bio-authentication-for-layered-remote-health-monitor-1udknh17ob.pdf

Bio-authentication for layered remote health monitor framework

s of Keynotes Building Data Models with Rule Learners: Classical, Multiple-Instance, and One-Class

/pdf/computer-information-systems-and-industrial-management-12th-1tu312e9h2.pdf

Rituparna Chaki

Papers

Lightweight hierarchical model for hwsnet

Study of Security Issues in Pervasive Environment of Next Generation Internet of Things

AMC Model for Denial of Sleep Attack Detection

Bio-authentication for layered remote health monitor framework

Computer Information Systems and Industrial Management, 12th IFIP International Conference