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The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health records, and passwords. Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures.

With the advent of technology, there has been an excessive use of cellular phones. Cellular phones have made life convenient in our society. However, individuals and groups have subverted the telecommunication devices to deceive unwary victims. Robocalls are quite prevalent these days and they can either be legal or used by scammers to trick one out of their money. The proposed methodology in the paper is to experiment two ensemble models on the dataset acquired from the Federal Trade Commission(DNC Dataset). It is imperative to analyze the call records and based on the patterns the calls can classify as a robocall or not a robocall. Two algorithms Random Forest and XgBoost are combined in two ways and compared in the paper in terms of accuracy, sensitivity and the time taken.

(First Orion research shows that 90% of consumers are comfortable with answering a branded call.) \"Three or four years ago, we thought [calls] were going to be completely fading away. (First Orion conducted the tests on a pro-bono basis.) Imagine the branded technology being used in remote villages in East Africa to alert residents that medicine had arrived in the nearest town, ensuring the populations received the drugs and also that people did not have to waste time traveling dozens of miles over treacherous terrain for a delivery that might not be there. (Smartphone adoption is nearly as prevalent in the developing world as it is in countries like the U.S.) International nonprofits and other aid organizations working with vulnerable groups could take advantage of the technology to save time and resources and to make sure the people they're helping receive exactly the information or assistance they need when they need it the most.

Many techniques have been proposed to detect and prevent spam over Internet telephony. Human spam calls can be detected more accurately with these techniques. However, robocalls, a type of voice spammer whose calling patterns are similar to those of legitimate users, cannot be detected as effectively. This paper proposes a model for robocall detection using a machine learning approach. Voice data recordings were collected and the relevant features for study were selected. The selected features were then used to formulate six (6) detection models. The formulated models were simulated and evaluated using some performance metrics to ascertain the model with the best performance. The C4.5 decision tree algorithm gave the best evaluation result with an accuracy of 99.15%, a sensitivity of 0.991%, a false alarm rate of 0.009%, and a precision of 0.992%. As a result, it was concluded that this approach can be used to detect and filter both machine-initiated and human-initiated spam calls.

Etta discusses the US Supreme Court case Barr v. American Association of Political Consultants. The Supreme Court affirmed the Fourth Circuit's decision to invalidate a 2015 amendment to the Telephone Consumer Protection Act (TCPA), which created an exception to the prohibition against robocalls for calls made to collect a debt owed to the federal government. The Court affirmed that the government-debt exception to the restriction against robocalls was an unconstitutional content-based restriction on speech that failed strict scrutiny. The Court incorporated traditional severability principles to invalidate and sever the government-debt exception amendment of the TCPA.

Beginning with the passage and signing into law in 2010 of the Elder Justice Act, Congress and the executive branch have started responding to the crisis of elder abuse and neglect in America. This article assesses actions taken by the federal government to combat elder abuse and where improvements in its response may be needed to further address this crucial issue.

In Dominguez v Yahoo Inc, the Third Circuit Court of Appeals affirmed the district court's grant of summary judgment dismissing the Plaintiffs lawsuit alleging that Yahoo had violated the Telephone Consumer Protection Act by inundating him with thousands of text messages without his consent. In doing so, the court applied the DC Circuit's recent decision in ACA International v FCC, which was issued while the appeal of this case was pending. In 1991, Congress passed the Telephone Consumer Protection Act to \"protect the privacy interests of residential telephone subscribers by placing restrictions on unsolicited, automated telephone calls to the home and to facilitate interstate commerce by restricting certain uses of automatic dialers.\" The FCC has subsequently issued declaratory rulings to clarify its interpretation of the statute. The Third Circuit affirmed the District Court's decision to exclude the expert reports from evidence because they only focused on the latent capacity of Yahoo's email notification service to function as an automatic telephone dialing system.

Aleman examines how an emerging unregulated technology may affect the intent of Telephone Consumer Protection Act (TCPA) of 1991. In the past, the US Federal Communications Commission (FCC) has received two petitions arguing that ringless automated voicemails are not covered under the TCPA. Ringless voicemails have been defined by leading providers of ringless voicemails as direct automated insertions of a voicemail into a voicemail box without first contacting the consumer. The first petition for a declaratory ruling was filed by VoApps in 2013, arguing that since consumers are not charged when they receive telemarketing voicemails, then robo voicemails should be TCPA exempt. Similarly, in 2017, the All About the Message LLC (AATM) filed a declaratory ruling asserting that since they do not initiate a traditional call for the purposes of the TCPA, their equipment should not be considered an automatic telephone dialing system. The FCC, however, never ruled on this issue, as VoApps8 and AATM withdrew their petitions.