List of Titles

Technology-assisted decision support system for efficient water utilization : a real-time testbed for irrigation using wireless sensor networks

- Khan, Rahim, Ali, Ihsan, Zakarya, Muhammad, Ahmad, Mushtaq, Imran, Muhammad, Shoaib, Muhammad

Authors: Khan, Rahim , Ali, Ihsan , Zakarya, Muhammad , Ahmad, Mushtaq , Imran, Muhammad , Shoaib, Muhammad
Date: 2018
Type: Text , Journal article
Relation: IEEE Access Vol. 6, no. (2018), p. 25686-25697
Full Text:
Reviewed:
Description: Scientific organizations and researchers are eager to apply recent technological advancements, such as sensors and actuators, in different application areas, including environmental monitoring, creation of intelligent buildings, and precision agriculture. Technology-assisted irrigation for agriculture is a major research innovation which eases the work of farmers and prevents water wastage. Wireless sensor networks (WSNs) are used as sensor nodes that directly interact with the physical environment and provide real-time data that are useful in identifying regions in need, particularly in agricultural fields. This paper presents an efficient methodology that employs WSN as a data collection tool and a decision support system (DSS). The proposed DSS can assist farmers in their manual irrigation procedures or automate irrigation activities. Water-deficient sites in both scenarios are identified by using soil moisture and environmental data sensors. However, the proposed system's accuracy is directly proportional to the accuracy of dynamic data generated by the deployed WSN. A simplified outlier-detection algorithm is thus presented and integrated with the proposed DSS to fine-tune the collected data prior to processing. The complexity of the algorithm is O(1) for dynamic datasets generated by sensor nodes and O(n) for static datasets. Different issues in technology-assisted irrigation management and their solutions are also addressed. © 2013 IEEE.

Quick View

Co-EEORS : cooperative energy efficient optimal relay selection protocol for underwater wireless sensor networks

- Khan, Anwar, Ali, Ihsan, Rahman, Atiq, Imran, Muhammad, Amin, Fazal, Mahmood, Hasan

Authors: Khan, Anwar , Ali, Ihsan , Rahman, Atiq , Imran, Muhammad , Amin, Fazal , Mahmood, Hasan
Date: 2018
Type: Text , Journal article
Relation: IEEE Access Vol. 6, no. (2018), p. 28777-28789
Full Text:
Reviewed:
Description: Cooperative routing mitigates the adverse channel effects in the harsh underwater environment and ensures reliable delivery of packets from the bottom to the surface of water. Cooperative routing is analogous to sparse recovery in that faded copies of data packets are processed by the destination node to extract the desired information. However, it usually requires information about the two or three position coordinates of the nodes. It also requires the synchronization of the source, relay, and destination nodes. These features make the cooperative routing a challenging task as sensor nodes move with water currents. Moreover, the data packets are simply discarded if the acceptable threshold is not met at the destination. This threatens the reliable delivery of data to the final destination. To cope with these challenges, this paper proposes a cooperative energy-efficient optimal relay selection protocol for underwater wireless sensor networks. Unlike the existing routing protocols involving cooperation, the proposed scheme combines location and depth of the sensor nodes to select the destination nodes. Combination of these two parameters does not involve knowing the position coordinates of the nodes and results in selection of the destination nodes closest to the water surface. As a result, data packets are less affected by the channel properties. In addition, a source node chooses a relay node and a destination node. Data packets are sent to the destination node by the relay node as soon as the relay node receives them. This eliminates the need for synchronization among the source, relay, and destination nodes. Moreover, the destination node acknowledges the source node about the successful reception or retransmission of the data packets. This overcomes the packets drop. Based on simulation results, the proposed scheme is superior in delivering packets to the final destination than some existing techniques. © 2013 IEEE.

Countering stasistical attacks in cloud-based searchable encryption

- Ahsan, M., Ali, Ihsan, Bin Idris, Mohd, Imran, Muhammad, Shoaib, Muhammad

Authors: Ahsan, M. , Ali, Ihsan , Bin Idris, Mohd , Imran, Muhammad , Shoaib, Muhammad
Date: 2020
Type: Text , Journal article
Relation: International Journal of Parallel Programming Vol. 48, no. 3 (2020), p. 470-495
Full Text: false
Reviewed:
Description: Searchable encryption (SE) is appearing as a prominent solution in the intersection of privacy protection and efficient retrieval of data outsourced to cloud computing storage. While it preserves privacy by encrypting data, yet supports search operation without data leakage. Due to its applicability, many research communities have proposed different SE schemes under various security definitions with numerous customary features (i.e. multi keyword search, ranked search). However, by reason of multi-keyword ranked search, SE discloses encrypted document list corresponding to multiple (secure) query keywords (or trapdoor). Such disclosure of statistical information helps an attacker to analyze and deduce the content of the data. To counter statistical information leakage in SE, we propose a scheme referred to as Countering Statistical Attack in Cloud based Searchable Encryption (CSA-CSE) that resorts to randomness in all components of an SE. CSA-CSE adopts inverted index that is built with a hash digest of a pair of keywords. Unlike existing schemes, ranking factors (i.e. relevance scores) rank the documents and then they no longer exist in the secure index (neither in order preserving encrypted form). Query keywords are also garbled with randomness in order to hide actual query/result statistics. Our security analysis and experiment on request for comments database ensure the security and efficiency of CSA-CSE. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. Correction to: Countering Statistical Attacks in Cloud-Based Searchable Encryption (International Journal of Parallel Programming, (2020), 48, 3, (470-495), 10.1007/s10766-018-0584-8)The original article has been published with an incorrect grant number in the acknowledgements which should be RG # 1439-036. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Quick View

Characterizing the role of vehicular cloud computing in road traffic management

- Ahmad, Iftikhar, Noor, Rafidah, Ali, Ihsan, Imran, Muhammad, Vasilakos, Athanasios

Authors: Ahmad, Iftikhar , Noor, Rafidah , Ali, Ihsan , Imran, Muhammad , Vasilakos, Athanasios
Date: 2017
Type: Text , Journal article
Relation: International Journal of Distributed Sensor Networks Vol. 13, no. 5 (2017), p.
Full Text:
Reviewed:
Description: Vehicular cloud computing is envisioned to deliver services that provide traffic safety and efficiency to vehicles. Vehicular cloud computing has great potential to change the contemporary vehicular communication paradigm. Explicitly, the underutilized resources of vehicles can be shared with other vehicles to manage traffic during congestion. These resources include but are not limited to storage, computing power, and Internet connectivity. This study reviews current traffic management systems to analyze the role and significance of vehicular cloud computing in road traffic management. First, an abstraction of the vehicular cloud infrastructure in an urban scenario is presented to explore the vehicular cloud computing process. A taxonomy of vehicular clouds that defines the cloud formation, integration types, and services is presented. A taxonomy of vehicular cloud services is also provided to explore the object types involved and their positions within the vehicular cloud. A comparison of the current state-of-the-art traffic management systems is performed in terms of parameters, such as vehicular ad hoc network infrastructure, Internet dependency, cloud management, scalability, traffic flow control, and emerging services. Potential future challenges and emerging technologies, such as the Internet of vehicles and its incorporation in traffic congestion control, are also discussed. Vehicular cloud computing is envisioned to have a substantial role in the development of smart traffic management solutions and in emerging Internet of vehicles. © The Author(s) 2017.

Perception layer security in internet of things

- Khattak, Hasan, Shah, Munam, Khan, Sangeen, Ali, Ihsan, Imran, Muhammad

Authors: Khattak, Hasan , Shah, Munam , Khan, Sangeen , Ali, Ihsan , Imran, Muhammad
Date: 2019
Type: Text , Journal article
Relation: Future Generation Computer Systems Vol. 100, no. (2019), p. 144-164
Full Text: false
Reviewed:
Description: Internet of Things (IoT) is one of the rising innovations of the current era that has largely attracted both the industry and the academia. Life without the IoT is entirely indispensable. To dispel the doubts, if any, about the widespread adoption, the IoT certainly necessitates both technically and logically correct solutions to ensure the underlying security and privacy. This paper explicitly investigates the security issues in the perception layer of IoT, the countermeasures and the research challenges faced for large scale deployment of IoT. Perception layer being one of the important layers in IoT is responsible for data collection from things and its successful transmission for further processing. The contribution of this paper is twofold. Firstly, we describe the crucial components of the IoT (i.e., architectures, standards, and protocols) in the context of security at perception layer followed by IoT security requirements. Secondly, after describing the generic IoT-layered security, we focus on two key enabling technologies (i.e., RFID and sensor network) at the perception layer. We categorize and classify various attacks at different layers of both of these technologies through taxonomic classification and discuss possible solutions. Finally, open research issues and challenges relevant to the perception layer are identified and analyzed. © 2019 Elsevier B.V.

Showing items 1 - 5 of 5