@inbook{ghoshcloudb,

title = {Cloud Computing: An Overview of Security Risk Assessment Models and Frameworks},

author = {Subarna Ghosh, Nafees Mansoor and Mohammad Shahriar Rahman },

editor = {Om Pal, Vinod Kumar, Rijwan Khan, Bashir Alam, Mansaf Alam},

url = {https://www.taylorfrancis.com/chapters/edit/10.1201/9781003267812-9/cloud-computing-subarna-ghosh-nafees-mansoor-mohammad-shahriar-rahman?context=ubx&refId=f355129a-7c80-444d-a0cb-3df4bcf0c47a},

isbn = {9781003267812},

year  = {2023},

date = {2023-06-19},

urldate = {2023-06-19},

journal = {Cyber Security Using Modern Technologies},

pages = {125–140},

publisher = {CRC Press},

edition = {1st Edition},

chapter = {9},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{10.1007/978-981-99-5166-6_24,

title = {Verifi-Chain: A Credentials Verifier Using Blockchain and IPFS},

author = {Tasfia Rahman and Sumaiya Islam Mouno and Arunangshu Mojumder Raatul and Abul Kalam Al Azad and Nafees Mansoor},

editor = {G. Ranganathan and George A. Papakostas and Álvaro Rocha},

isbn = {978-981-99-5166-6},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Inventive Communication and Computational Technologies},

pages = {361–371},

publisher = {Springer Nature Singapore},

address = {Singapore},

abstract = {Submitting fake certificates is a common problem in Southeast Asia, which prevents qualified candidates from getting the jobs they deserve. When applying for a job, students must provide academic credentials as proof of their qualifications, acquired both inside and outside the classroom. Verifying academic documents before hiring is crucial to prevent fraud. Employing blockchain technology has the potential to address this issue. Blockchain provides an electronic certificate that is tamperproof and non-repudiable, making it difficult for students to manipulate their academic credentials. This paper presents a prototype for an academic credential verification model that leverages the security features of blockchain and InterPlanetary File System (IPFS). Certificates are temporarily stored in a database before being transferred to IPFS, where a unique hash code is generated using a hashing algorithm. This hash code serves as the certificate's unique identity and is stored in the blockchain nodes. Companies can verify an applicant's credentials by searching for the applicant and accessing their already verified certificates. Utilizing IPFS as a middleman storage platform lowers the expenses of directly storing massive data on the blockchain. To sum it up, the proposed solution would make the process of certificate verification more efficient, secure, and cost-effective. It would save time and resources that would otherwise be used to manually verify certificates.},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{10.1007/978-981-99-5166-6_48,

title = {Development of a Blockchain-Based On-Demand Lightweight Commodity Delivery System},

author = {Bayezid Al Hossain Onee and Kaniz Fatema Antora and Omar Sharif Rajme and Nafees Mansoor},

editor = {G. Ranganathan and George A. Papakostas and Álvaro Rocha},

isbn = {978-981-99-5166-6},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Inventive Communication and Computational Technologies},

pages = {705–720},

publisher = {Springer Nature Singapore},

address = {Singapore},

abstract = {The COVID-19 pandemic has caused a surge in the use of online delivery services, which rely on user-generated content to promote collaborative consumption. Although Online Food Delivery (OFD) is a popular delivery system in Bangladesh, it has yet to ensure item authenticity, especially with the increasing demand for lightweight commodity delivery services across the country. The authenticity of products, involvement of multiple parties, and fair exchange are all challenging aspects of coast-to-coast services. Therefore, it is necessary for the three entities involved in the supply chain transaction—seller, carrier, and buyer—to establish at least two peer-to-peer operations to ensure reliability and efficiency. To address these limitations and meet consumer expectations, the study proposes a framework for a nationwide on-demand marketplace for lightweight commodity items and a delivery system. Furthermore, transaction details are stored in a blockchain to ensure the transparency and reliability of the proposed system.},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{10.1007/978-981-99-5166-6_40,

title = {Mood Classification of Bangla Songs Based on Lyrics},

author = {Maliha Mahajebin and Mohammad Rifat Ahmmad Rashid and Nafees Mansoor},

editor = {G. Ranganathan and George A. Papakostas and Álvaro Rocha},

isbn = {978-981-99-5166-6},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Inventive Communication and Computational Technologies},

pages = {585–597},

publisher = {Springer Nature Singapore},

address = {Singapore},

abstract = {Music can evoke various emotions, and with the advancement of technology, it has become more accessible to people. Bangla music, which portrays different human emotions, lacks sufficient research. The authors of this article aim to analyze Bangla songs and classify their moods based on the lyrics. To achieve this, this research has compiled a dataset of 4000 Bangla song lyrics, genres and used Natural Language Processing and the BERT algorithm to analyze the data. Among the 4000 songs, 1513 songs are represented for sad mood, 1362 for romantic mood, 886 for happiness, and the rest 239 are classified as relaxation. By embedding the lyrics of the songs, the authors have classified the songs into four moods: Happy, Sad, Romantic, and Relaxed. This research is crucial as it enables a multi-class classification of songs' moods, making the music more relatable to people's emotions. The article presents the automated result of the four moods accurately derived from the song lyrics.},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{hasanat2021development,

title = {Development of a monitoring system and power management for an IoT based vaccine carrier},

author = {RT Hasanat and N Mansoor and N Mohammed and MS Rahman and M Rasheduzzaman},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Journal of Physics: Conference Series},

volume = {1755},

number = {1},

pages = {012023},

organization = {IOP Publishing},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{choudhury2021sensor,

title = {Sensor Searching Techniques in Internet of Things: A Survey, Taxonomy, and Challenges},

author = {Rahman Jamil Mansoor F M R N Choudhury F.N.},

year  = {2021},

date = {2021-01-01},

booktitle = {Lecture Notes in Networks and Systems},

volume = {154},

pages = {755--763},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{fong2020web,

title = {The Web of Things: A Survey, Taxonomy, and Challenges},

author = {S Fong and N Dey and A Joshi and F Choudhury and F Rahman and M Jamil and N Mansoor},

year  = {2020},

date = {2020-01-01},

booktitle = {ICT Analysis and Applications - ICT4SD Proceeding},

volume = {1542},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{mansoor2015construction,

title = {Construction of a Robust Clustering Algorithm for Cognitive Radio Ad-Hoc Network},

author = {Nafees Mansoor and AKM Muzahidul Islam and Mahdi Zareei and Sabariah Baharun and Shozo Komaki},

year  = {2015},

date = {2015-01-01},

booktitle = {Cognitive Radio Oriented Wireless Networks (CROWNCOM)},

volume = {10},

pages = {759--766},

publisher = {Springer International Publishing},

keywords = {},

pubstate = {published},

tppubtype = {inbook}

}